What follows is a comprehensive list of academic articles related to main path analysis up to June 2019. These articles either introduce, explain, apply, modify, or extend the method originated by Hummon and Doreian (1989). In addition to be related to main path analysis, all articles meet two other conditions: 1) written in English, and 2) listed in the Google Scholar database.
Hummon, N.P. and P. Doreian, Connectivity in a citation network: The development of DNA theory. Social networks, 1989. 11(1): p. 39-63.
Carley, K.M., N.P. Hummon, and M. Harty, Scientific influence: An analysis of the main path structure in the Journal of Conflict Resolution. Knowledge, 1993. 14(4): p. 417-447.
Hummon, N.P. and K. Carley, Social networks as normal science∗. Social networks, 1993. 15(1): p. 71-106.
Batagelj, V., Efficient algorithms for citation network analysis, in Preprint series, University of Ljubljana, Institute of Mathematics, Physics and Mechanics, Department of Theoretical Computer Science. 2003.
Mutschke, P., Mining networks and central entities in digital libraries. A graph theoretic approach applied to co-author networks. Lecture notes in computer science, 2003: p. 155-166.
van Alphen, H., I. Jansen, and J. Ophuis. A study of the development of IFD building systems by using the Technological Trajectories Mapping Methodology. in Adaptables 2006 Proceedings of the International Conference on Adaptable Building Structures, 3–5 July, Eindhoven, the Netherlands. 2006.
Mina, A., et al., Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge. Research policy, 2007. 36(5): p. 789-806.
Tampubolon, G. and R. Ramlogan, Networks and temporality in the development of a radical medical treatment. Graduate Journal of Social Science, 2007. 4(1): p. 54-77.
Verspagen, B., Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research. Advances in Complex Systems, 2007. 10(01): p. 93-115.
Calero-Medina, C. and E.C. Noyons, Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field. Journal of Informetrics, 2008. 2(4): p. 272-279.
Lucio‐Arias, D. and L. Leydesdorff, Main‐path analysis and path‐dependent transitions in HistCite™‐based historiograms. Journal of the Association for Information Science and Technology, 2008. 59(12): p. 1948-1962.
McCain, K.W., Assessing an author's influence using time series historiographic mapping: The oeuvre of Conrad Hal Waddington (1905–1975). Journal of the Association for Information Science and Technology, 2008. 59(4): p. 510-525.
Choi, C. and Y. Park, Monitoring the organic structure of technology based on the patent development paths. Technological Forecasting and Social Change, 2009. 76(6): p. 754-768.
Fontana, R., A. Nuvolari, and B. Verspagen, Mapping technological trajectories as patent citation networks. An application to data communication standards. Economics of Innovation and New Technology, 2009. 18(4): p. 311-336.
Harris, J.K., et al., Forty years of secondhand smoke research: the gap between discovery and delivery. American journal of preventive medicine, 2009. 36(6): p. 538-548.
Jo, S.J., et al., Who is citing whom: Citation network analysis among HRD publications from 1990 to 2007. Human Resource Development Quarterly, 2009. 20(4): p. 503-537.
Mina, A., The emergence of new knowledge, market evolution and the dynamics of micro-innovation systems. Economics of Innovation and New Technology, 2009. 18(5): p. 447-466.
Sani, E., E. Ruffaldi, and M. Bergamasco, Interactive Technology Maps for Strategic Planning and Research Directions Based on Textual and Citation Analysis of Patents, in Handbook On Business Information Systems. 2010. p. 487-514.
Bekkers, R. and A. Martinelli. The interplay between standardization and technological change. in Paper presented at conference; DIME Final conference. 2011.
David, B.-T., J.-S. Fernando, and C.-M. Itziar, Mapping the importance of the real world: The validity of connectivity analysis of patent citations networks. Research Policy, 2011. 40(3): p. 473-486.
Harris, J.K., et al., Mapping the multidisciplinary field of public health services and systems research. American journal of preventive medicine, 2011. 41(1): p. 105-111.
Triulzi, G. Technological trajectories and the role of (Former) developing countries' firms in the semiconductor industry: A patent citation analysis over the last 50 years. in DIME Final Conference. 2011.
van Geloven, A., The development of the electric motor: a patent research, in Industrial Engineering & Innovation Sciences. 2011, Eindhoven University of Technology.
Bekkers, R. and A. Martinelli, Knowledge positions in high-tech markets: Trajectories, standards, strategies and true innovators. Technological Forecasting and Social Change, 2012. 79(7): p. 1192-1216.
Bhupatiraju, S., et al., Knowledge flows–Analyzing the core literature of innovation, entrepreneurship and science and technology studies. Research policy, 2012. 41(7): p. 1205-1218.
Colicchia, C. and F. Strozzi, Supply chain risk management: a new methodology for a systematic literature review. Supply Chain Management: An International Journal, 2012. 17(4): p. 403-418.
Cui, X., et al. Exploration of the evolution process of IT outsourcing from 1992 to 2011: A main path analysis. in Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on. 2012. IEEE.
Gao, X. and J. Guan, Network model of knowledge diffusion. Scientometrics, 2012. 90(3): p. 749-762.
Guan, J. and Y. Shi, Transnational citation, technological diversity and small world in global nanotechnology patenting. Scientometrics, 2012. 93(3): p. 609-633.
Halatchliyski, I., et al. Unraveling idea development in discourse trajectories. in The future of learning: proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012). 2012. ISLS.
Liu, J.S. and L.Y. Lu, An integrated approach for main path analysis: Development of the Hirsch index as an example. Journal of the Association for Information Science and Technology, 2012. 63(3): p. 528-542.
Liu, J.S., L.Y. Lu, and M.H.-C. Ho, Total influence and mainstream measures for scientific researchers. Journal of Informetrics, 2012. 6(4): p. 496-504.
Lu, L., Y. Lan, and J.S. Liu. A novel approach for exploring technological development trajectories. in Management of Innovation and Technology (ICMIT), 2012 IEEE International Conference on. 2012. IEEE.
Lu, L.Y., et al., Ethics in nanotechnology: What’s being done? What’s missing? Journal of business ethics, 2012. 109(4): p. 583-598.
Lucio-Arias, D. and A. Scharnhorst, Mathematical approaches to modeling science from an algorithmic-historiography perspective, in Models of Science Dynamics. 2012, Springer. p. 23-66.
Luke, D.A., Viewing Dissemination and Implementation Research through a Network Lens, in Dissemination and Implementation Research in Health: Translating Science to Practice, G.A.C. Ross C. Brownson, and Enola K. Proctor, Editor. 2012.
Martinelli, A., An emerging paradigm or just another trajectory? Understanding the nature of technological changes using engineering heuristics in the telecommunications switching industry. Research Policy, 2012. 41(2): p. 414-429.
Arslan, E., S. Akyokuş, and M.C. Ganiz. An application of community discovery in academical social networks. in Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on. 2013. IEEE.
Brughmans, T., Networks of networks: a citation network analysis of the adoption, use, and adaptation of formal network techniques in archaeology. Literary and Linguistic Computing, 2013. 28(4): p. 538-562.
Chen, Y.-B., J.S. Liu, and P. Lin, Recent trend in graphene for optoelectronics. Journal of nanoparticle research, 2013. 15(2): p. 1454.
Cho, Y., et al., The landscape of educational technology viewed from the ETR&D journal. British Journal of Educational Technology, 2013. 44(5): p. 677-694.
Epicoco, M., Knowledge patterns and sources of leadership: Mapping the semiconductor miniaturization trajectory. Research Policy, 2013. 42(1): p. 180-195.
Halatchliyski, I., et al. Analyzing the flow of ideas and profiles of contributors in an open learning community. in Proceedings of the Third International Conference on Learning Analytics and Knowledge. 2013. ACM.
Harris, J.K., et al., Mapping the development of research on physical activity and the built environment. Preventive medicine, 2013. 57(5): p. 533-540.
Liu, J.S., et al., A survey of DEA applications. Omega, 2013. 41(5): p. 893-902.
Liu, J.S., et al., Data envelopment analysis 1978–2010: A citation-based literature survey. Omega, 2013. 41(1): p. 3-15.
Lu, L.Y. and J.S. Liu, An innovative approach to identify the knowledge diffusion path: the case of resource-based theory. Scientometrics, 2013. 94(1): p. 225-246.
Chuang, T.C., et al., The main paths of medical tourism: From transplantation to beautification. Tourism Management, 2014. 45: p. 49-58.
Halatchliyski, I., et al., Analyzing the main paths of knowledge evolution and contributor roles in an open learning community. Journal of Learning Analytics, 2014. 1(2): p. 72-93.
Ho, J.C., et al., Technological barriers and research trends in fuel cell technologies: A citation network analysis. Technological Forecasting and Social Change, 2014. 82: p. 66-79.
Ho, M.H.-C., V.H. Lin, and J.S. Liu, Exploring knowledge diffusion among nations: a study of core technologies in fuel cells. Scientometrics, 2014. 100(1): p. 149-171.
Hung, S.-C., et al., Technological change in lithium iron phosphate battery: the key-route main path analysis. Scientometrics, 2014. 100(1): p. 97-120.
Liu, J.S., et al., Citations with different levels of relevancy: Tracing the main paths of legal opinions. Journal of the Association for Information Science and Technology, 2014. 65(12): p. 2479-2488.
Lu, L.Y. and J.S. Liu. A survey of intellectual property rights literature from 1971 to 2012: The main path analysis. in Management of Engineering & Technology (PICMET), 2014 Portland International Conference on. 2014. IEEE.
Lu, L.Y. and J.S. Liu, The knowledge diffusion paths of corporate social responsibility–from 1970 to 2011. Corporate Social Responsibility and Environmental Management, 2014. 21(2): p. 113-128.
Xiao, Y., et al., Knowledge diffusion path analysis of data quality literature: A main path analysis. Journal of Informetrics, 2014. 8(3): p. 594-605.
Xu, Y. and X. Hua. Mapping technological trajectories as patent citation networks: Taking the aero-engine industry as an example. in Management of Engineering & Technology (PICMET), 2014 Portland International Conference on. 2014. IEEE.
Yeo, W., et al., Aggregative and stochastic model of main path identification: a case study on graphene. Scientometrics, 2014. 98(1): p. 633-655.
De Benedictis, L., M.P. Vitale, and S. Wasserman, Examining the literature on “Networks in Space and in Time.” An introduction. Network Science, 2015. 3(1): p. 1-17.
Hsiao, C.-H., K.-Y. Tang, and J.S. Liu, Citation-based analysis of literature: a case study of technology acceptance research. Scientometrics, 2015. 105(2): p. 1091-1110.
Lu, L.Y. and J.S. Liu. A novel approach to identify research fronts of tourism literature. in Management of Engineering and Technology (PICMET), 2015 Portland International Conference on. 2015. IEEE.
Prabhakaran, T., H.H. Lathabai, and M. Changat, Detection of paradigm shifts and emerging fields using scientific network: A case study of Information Technology for Engineering. Technological Forecasting and Social Change, 2015. 91: p. 124-145.
Yu, Q., et al., Tracing database usage: Detecting main paths in database link networks. Journal of Informetrics, 2015. 9(1): p. 1-15.
Balaji, A., S. Sendhilkumar, and G. Mahalakshmi, Progressive Path Analysis Using Optimized Discrete and Continuous Average Semantic Filters. 2016.
Barbieri, N., et al., A survey of the literature on environmental innovation based on main path analysis. Journal of Economic Surveys, 2016. 30(3): p. 596-623.
Halatchliyski, I., Theoretical and empirical analysis of networked knowledge, in Mass Collaboration and Education. 2016, Springer. p. 331-345.
Huang, Y., et al. Exploring Technology evolution pathways to facilitate Technology management: A study of Dye-sensitized solar cells (DSSCs). in Management of Engineering and Technology (PICMET), 2016 Portland International Conference on. 2016. IEEE.
Leydesdorff, L., et al., Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level. Scientometrics, 2016. 109(3): p. 2077-2091.
Liang, H., et al., IT outsourcing research from 1992 to 2013: A literature review based on main path analysis. Information & Management, 2016. 53(2): p. 227-251.
Liu, J.S. and C.H. Kuan, A new approach for main path analysis: Decay in knowledge diffusion. Journal of the Association for Information Science and Technology, 2016. 67(2): p. 465-476.
Liu, J.S., L.Y. Lu, and W.-M. Lu, Research fronts in data envelopment analysis. Omega, 2016. 58: p. 33-45.
Lu, L.Y., C.-H. Hsieh, and J.S. Liu, Development trajectory and research themes of foresight. Technological Forecasting and Social Change, 2016. 112: p. 347-356.
Lu, L.Y. and J.S. Liu, A novel approach to identify the major research themes and development trajectory: The case of patenting research. Technological Forecasting and Social Change, 2016. 103: p. 71-82.
Ma, V.C. and J.S. Liu, Exploring the research fronts and main paths of literature: a case study of shareholder activism research. Scientometrics, 2016. 109(1): p. 33-52.
Nomaler, Ö. and B. Verspagen, River deep, mountain high: of long run knowledge trajectories within and between innovation clusters. Journal of Economic Geography, 2016. 16(6): p. 1259-1278.
Olczyk, M., A systematic retrieval of international competitiveness literature: a bibliometric study. Eurasian Economic Review, 2016. 6(3): p. 429-457.
Tu, Y.N. and S.L. Hsu, Constructing conceptual trajectory maps to trace the development of research fields. Journal of the Association for Information Science and Technology, 2016. 67(8).
Van Holt, T., et al., The role of datasets on scientific influence within conflict research. PloS one, 2016. 11(4): p. e0154148.
Zhong, S. and B. Verspagen, The role of technological trajectories in catching-up-based development: An application to energy efficiency technologies. 2016, United Nations University-Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
Zhu, H., et al., Identifying the main paths of information diffusion in online social networks. Physica A: Statistical Mechanics and its Applications, 2016. 452: p. 320-328.
Batagelj, V., A. Ferligoj, and F. Squazzoni, The emergence of a field: a network analysis of research on peer review. Scientometrics, 2017. 113(1): p. 503-532.
Chuang, T.C., et al., The main paths of eTourism: trends of managing tourism through Internet. Asia Pacific Journal of Tourism Research, 2017. 22(2): p. 213-231.
da Silva, S.V., N. Antonio, and J.C. de Carvalho, Analysis of the Service Dominant Logic network, authors, and articles. The Service Industries Journal, 2017. 37(2): p. 125-152.
Ho, M.H.-C., J.S. Liu, and K.C.-T. Chang, To include or not: the role of review papers in citation-based analysis. Scientometrics, 2017. 110(1): p. 65-76.
Huang, Y., et al., A hybrid method to trace technology evolution pathways: a case study of 3D printing. Scientometrics, 2017. 111(1): p. 185-204.
Jaffe, A.B. and G. de Rassenfosse, Patent citation data in social science research: Overview and best practices. Journal of the Association for Information Science and Technology, 2017. 68(6): p. 1360-1374.
Kaffash, S. and M. Marra, Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds. Annals of Operations Research, 2017. 253(1): p. 307-344.
Lathabai, H.H., T. Prabhakaran, and M. Changat, Contextual productivity assessment of authors and journals: a network scientometric approach. Scientometrics, 2017. 110(2): p. 711-737.
Leydesdorff, L., A. Thor, and L. Bornmann, Further steps in integrating the platforms of WoS and Scopus: Historiography with HistCite™ and main-path analysis. El profesional de la información (EPI), 2017. 26(4): p. 662-670.
Lu, L.Y. and J.S. Liu. A review of broad technology assessment: Citation-based analysis. in Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on. 2017. IEEE.
Notten, A., J. Mairesse, and B. Verspagen, The CDM framework: knowledge recombination from an evolutionary viewpoint. Economics of Innovation and New Technology, 2017. 26(1-2): p. 21-41.
Park, H. and C.L. Magee, Tracing technological development trajectories: A genetic knowledge persistence-based main path approach. PloS one, 2017. 12(1): p. e0170895.
Ugaglia, A.A. and S. Peres, Knowledge Dynamics and Climate Change Issues in the Wine Industry: A Literature Review. Journal of Innovation Economics & Management, 2017(3): p. 105-125.
Yuan, F. and K. Miyazaki, Trajectory Identification as Proxies for Discerning the Dynamic Nature of Technological Change—The Case of Electric Vehicles Industry. International Journal of Innovation and Technology Management, 2017. 14(01): p. 1740006.
Chen, I.-C., J.-S. Sheu, and H.-W. Huang, DEVELOPMENT TRENDS IN INTELLIGENT HOMES. Journal of Marine Science and Technology, 2018. 26(1): p. 19-27.
Cho, R.L., J.S. Liu, and M.H.-C. Ho, What are the concerns? Looking back on 15 years of research in cultural and creative industries. International journal of cultural policy, 2018. 24(1): p. 25-44.
Colicchia, C., A. Creazza, and F. Strozzi, Citation network analysis for supporting continuous improvement in Higher Education. Studies in Higher Education, 2018. 43(9): p. 1637-1653.
de Abreu, E.S., H. Kimura, and V.A. Sobreiro, What is going on with studies on banking efficiency? Research in International Business and Finance, 2018.
Gwak, J.H. and S.Y. Sohn, A novel approach to explore patent development paths for subfield technologies. Journal of the Association for Information Science and Technology, 2018. 69(3): p. 410-419.
Henrique, B.M., V.A. Sobreiro, and H. Kimura, Building direct citation networks. Scientometrics, 2018. 115(2): p. 817-832.
Hsieh, C.-H., et al. Offshore wind energy research trajectory and trends. in 2018 Portland International Conference on Management of Engineering and Technology (PICMET). 2018. IEEE.
Jiang, J., Review of Recent Development in Empirical Literature on Technological Standard. Journal of Humanities and Social Sciences, 2018. 46: p. 185-203.
Kim, J. and J. Shin, Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures. Scientometrics, 2018. 116(3): p. 1439-1459.
Kim, M., I. Baek, and M. Song, Topic diffusion analysis of a weighted citation network in biomedical literature. Journal of the Association for Information Science and Technology, 2018. 69(2): p. 329-342.
Kim, S., C. Colicchia, and D. Menachof, Ethical sourcing: An analysis of the literature and implications for future research. Journal of Business Ethics, 2018. 152(4): p. 1033-1052.
Kuan, C., et al. Patent Main Path Analysis with Arc Weights Adjusted by Classification Similarity. in 23rd International Conference on Science and Technology Indicators (STI 2018), September 12-14, 2018, Leiden, The Netherlands. 2018. Centre for Science and Technology Studies (CWTS).
Kuan, C.-H. and D.-Z. Chen. Assessing Patents based on Their Structural Significance in Patent Citation Network. in 2018 Portland International Conference on Management of Engineering and Technology (PICMET). 2018. IEEE.
Kuan, C.-H., M.-H. Huang, and D.-Z. Chen, Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments. Journal of Informetrics, 2018. 12(1): p. 259-270.
Kumar, V., et al. Technological Evolution of Thin-film Solar Cells through Main Path Analysis. in Proceedings of the 2nd International Conference on E-Society, E-Education and E-Technology. 2018. ACM.
Kumar, V., et al. Mapping Technological Trajectories for Energy Storage Device through Patent Citation Network. in 2018 9th International Conference on Awareness Science and Technology (iCAST). 2018. IEEE.
Lathabai, H.H., et al., An integrated approach to path analysis for weighted citation networks. Scientometrics, 2018. 117(3): p. 1871-1904.
Lee, T.S., et al., Analysis of the intellectual structure of human space exploration research using a bibliometric approach: Focus on human related factors. Acta Astronautica, 2018. 143: p. 169-182.
Magee, C.L., et al., Pre-existing technological core and roots for the CRISPR breakthrough. PloS one, 2018. 13(9): p. e0198541.
Maltseva, D. and V. Batagelj, Social Network Analysis: Bibliographic Network Analysis of the Field and its Evolution/Part 1. Basic Statistics and Citation Network Analysis. arXiv preprint arXiv:1812.05908, 2018.
Meng, Y. and Y. Ma, Innovation Ecosystem Analysis 1986-2017: A Citation-Based Literature Survey. American Journal of Industrial and Business Management, 2018. 8(11): p. 2231-2255.
Pereira, C.G., et al., Patent mining and landscaping of emerging recombinant factor VIII through network analysis. Nature biotechnology, 2018. 36(7): p. 585-590.
Silva, N.S.V.d., Consumer brand relationships: the determinants of brand loyalty in the context of football clubs. 2018.
Šubelj, L., et al., Intermediacy of publications. arXiv preprint arXiv:1812.08259, 2018.
Tang, K.-Y. and C.-H. Hsiao. Game-Based Research in Education: A Key-Route Main Path Analysis of Literature (2008-2017). in Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations. 2018. ACM.
Triulzi, G., J. Alstott, and C.L. Magee, Estimating technology performance improvement rates by mining patent data. Available at SSRN 2987588, 2018.
Wetzstein, A., et al., Uncovering the supplier selection knowledge structure: A systematic citation network analysis from 1991 to 2017. Journal of Purchasing and Supply Management, 2018.
Yan, J., F.-M. Tseng, and L.Y. Lu, Developmental trajectories of new energy vehicle research in economic management: Main path analysis. Technological Forecasting and Social Change, 2018. 137: p. 168-181.
Zhou, H., et al., Data envelopment analysis application in sustainability: The origins, development and future directions. European Journal of Operational Research, 2018. 264(1): p. 1-16.
Balaji, A., S. Sendhilkumar, and G. Mahalakshmi, Tracing best semantic path using co-citation proximity analysis. Biblios: Journal of Librarianship and Information Science, 2019(74): p. 15-28.
Ben Rjab, A. and S. Mellouli. Artificial Intelligence in Smart Cities: Systematic Literature Network Analysis. in Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance. 2019. ACM.
Bindu, N., C.P. Sankar, and K.S. Kumar, From conventional governance to e-democracy: Tracing the evolution of e-governance research trends using network analysis tools. Government Information Quarterly, 2019.
Blandinieres, F., Anatomy of the Medical Innovation Process–What Are the Consequences of Replicability Issues on Innovation? ZEW-Centre for European Economic Research Discussion Paper, 2019(19-011).
Chen, K., Y. Zhang, and X. Fu, International research collaboration: An emerging domain of innovation studies? Research Policy, 2019. 48(1): p. 149-168.
Chen, L.J., Special education transition issues over the past 60 years: social network analysis on Web of Science exploration. European Journal of Special Needs Education, 2019. 34(1): p. 1-19.
Eling, M. and O. Ghavibazoo, Research on long-term care insurance: status quo and directions for future research. The Geneva Papers on Risk and Insurance-Issues and Practice, 2019. 44(2): p. 303-356.
Godfrey, P. and B.W. Lewis, Pragmatism and pluralism: A moral foundation for stakeholder theory in the 21st century. 2019.
Heck, J. and I. Georgiou, Structural cartography for literature review: Revealing the underlying structure of a literature through a bibliographic atlas. Revista de Administração de Empresas, 2019. 59(2): p. 121-143.
Henrique, B.M., V.A. Sobreiro, and H. Kimura, Literature review: machine learning techniques applied to financial market prediction. Expert Systems with Applications, 2019.
Hwang, S. and J. Shin, Extending technological trajectories to latest technological changes by overcoming time lags. Technological Forecasting and Social Change, 2019. 143: p. 142-153.
Jiang, X., X. Zhu, and J. Chen, Main path analysis on cyclic citation networks. Journal of the Association for Information Science and Technology, 2019.
Lacerda, J.S., Linking scientific knowledge and technological change: Lessons from wind turbine evolution and innovation. Energy Research & Social Science, 2019. 50: p. 92-105.
Liu, J.S., L.Y. Lu, and M.H.-C. Ho, A few notes on main path analysis. Scientometrics, 2019. 119(1): p. 379-391.
Vargas, S.A., et al., Wind power generation: A review and a research agenda. Journal of Cleaner Production, 2019.
Wu, H., et al., Major Knowledge Diffusion Paths of Megaproject Management: A Citation-Based Analysis. Project Management Journal, 2019: p. 8756972819850232.