Mapping, evolution, and application trends in co-citation analysis: a scientometric approach
Abstract
This study aims to explore the mapping, evolution, and application trends of co-citation analysis. To accomplish this goal, a comprehensive search was conducted using Scopus and Web of Science, resulting in 1298 relevant studies. Further analysis was conducted on scientific production, country, author, journal, and network data. The Tree of Science algorithm was applied to demonstrate the development of co-citation analysis. The results make three significant contributions to scientometric research: Firstly, a scientific mapping is presented highlighting the scientific output, main journals, and key researchers; secondly, the advancements of co-citation analysis are presented through the Tree of Science metaphor; lastly, the study identifies the three main subtopics within co-citation analysis through citation analysis. These findings will assist researchers and librarians in recognizing the crucial contributions and applications of co-citation analysis.
Keywords
scientometrics;, co-citations;, document;, author
Author Biography
Sebastian Robledo-Giraldo
Ingeniero Industrial, Doctor en Ingeniería
Jose Gregorio Figueroa-Camargo
Ingeniero de Minas, Estudiante Maestría Administración de Empresas
Martha Viviana Zuluaga-Rojas
Licenciada en Biología y Química, Doctora en Ciencias Biomédicas
Sol Beatriz Vélez-Escobar
Contadora Pública, Magíster en Dirección y Administración de Empresas
Pedro Luis Duque- Hurtado
Administrador de Empresas, Magíster en Administración
References
- Grisales-Aguirre, A. M., Robledo, S., & Zuluaga, M. (2023). Topic Modeling: Perspectives From a Literature Review. IEEE Access, 11, 4066–4078. https://doi.org/10.1109/ACCESS.2022.3232939 DOI: https://doi.org/10.1109/ACCESS.2022.3232939
- Araújo, P. C., & Bufrem, L. S. (2021). The intellectual foundation of the elite of Brazilian researchers on knowledge organization domain. Transinformação, 33. https://doi.org/10.1590/2318-0889202133e200068 DOI: https://doi.org/10.1590/2318-0889202133e200068
- Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11 (4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007 DOI: https://doi.org/10.1016/j.joi.2017.08.007
- Barrera-Rubaceti, N. A., Robledo-Giraldo, S., & Zarela-Sepulveda, M. (2021). Una revisión bibliográfica del Fintech y sus principales subáreas de estudio. Económicas CUC, 43 (1), 83–100. https://doi.org/10.17981/econcuc.43.1.2022.econ.4 DOI: https://doi.org/10.17981/econcuc.43.1.2022.Econ.4
- Blaizot, A., Veettil, S. K., Saidoung, P., Moreno-Garcia, C. F., Wiratunga, N., Aceves-Martins, M., Lai, N. M., & Chaiyakunapruk, N. (2022). Using artificial intelligence methods for systematic review in health sciences: A systematic review. Research Synthesis Methods, 13 (3), 353–362. https://doi.org/10.1002/jrsm.1553 DOI: https://doi.org/10.1002/jrsm.1553
- Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008 (10), P10008. https://doi.org/10.1088/1742-5468/2008/10/p10008 DOI: https://doi.org/10.1088/1742-5468/2008/10/P10008
- Boiko, K. (2021). R&D activity and firm performance: mapping the field. Management Review Quarterly, 1–37. https://doi.org/10.1007/s11301-021-00220-1 DOI: https://doi.org/10.1007/s11301-021-00220-1
- Boyack, K. W., & Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? Journal of the American Society for Information Science and Technology, 61 (12), 2389–2404. https://doi.org/10.1002/asi.21419 DOI: https://doi.org/10.1002/asi.21419
- Bu, Y., Wang, B., Chinchilla-Rodríguez, Z., Sugimoto, C. R., Huang, Y., & Huang, W.-B. (2020). Considering author sequence in all-author co-citation analysis. Information Processing & Management, 57 (6), 102300. https://doi.org/10.1016/j.ipm.2020.102300 DOI: https://doi.org/10.1016/j.ipm.2020.102300
- Cardona-Arbeláez, D. A., Del Río-Cortina, J. L., Romero-Severiche, A. K., & Lora-Guzmán, H. (2019). La curva de aprendizaje y su contribución al desempeño del talento humano en las organizaciones: una revisión teórica. Revista de Investigación, Desarrollo e Innovación, 10 (1), 37–51. https://doi.org/10.19053/20278306.v10.n1.2019.10010 DOI: https://doi.org/10.19053/20278306.v10.n1.2019.10010
- Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57 (3), 359–377. https://doi.org/10.1002/asi.20317 DOI: https://doi.org/10.1002/asi.20317
- Chen, C., Ibekwe-SanJuan, F., & Hou, J. (2010). The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. Journal of the American Society for Information Science and Technology, 61 (7), 1386–1409. https://doi.org/10.1002/asi.21309 DOI: https://doi.org/10.1002/asi.21309
- Clavijo-Tapia, F. J., Duque-Hurtado, P. L., Arias-Cerquera, G., & Alejandra, Tolosa-Castañeda Maria. (2021). Organizational communication: a bibliometric analysis from 2005 to 2020. Clío América, 15 (29), 621–640. https://doi.org/10.21676/23897848.4311 DOI: https://doi.org/10.21676/23897848.4311
- Diez, D., Díaz-Ospina, J., Robledo, S., & Rodríguez-Córdoba, M. del P. (2022). Tendencias teóricas y desafíos en la comunicación de la responsabilidad social corporativa. Anagramas - DOI: https://doi.org/10.22395/angr.v20n40a7
- Rumbos Y Sentidos de La Comunicación, 20 (40), 146–176. https://dialnet.unirioja.es/servlet/articulo?codigo=8419182
- Duque, P., Meza, O. E., Giraldo, D., & Barreto, K. (2021). Economía Social y Economía Solidaria: un análisis bibliométrico y revisión de literatura. REVESCO. Revista de Estudios Cooperativos, 138, e75566. https://doi.org/10.5209/reve.75566 DOI: https://doi.org/10.5209/reve.75566
- Durán-Aranguren, D. D., Robledo, S., Gomez-Restrepo, E., Arboleda-Valencia, J. W., & Tarazona, N. A. (2021). Scientometric Overview of Coffee By-Products and Their Applications. Molecules, 26 (24), 7605. https://doi.org/10.3390/molecules26247605 DOI: https://doi.org/10.3390/molecules26247605
- Eggers, F., Risselada, H., Niemand, T., & Robledo, S. (2022). Referral campaigns for software startups: The impact of network characteristics on product adoption. Journal of Business Research, 145, 309–324. https://doi.org/10.1016/j.jbusres.2022.03.007 DOI: https://doi.org/10.1016/j.jbusres.2022.03.007
- Fire, M., & Guestrin, C. (2019). Over-optimization of academic publishing metrics: observing Goodhart’s Law in action. GigaScience, 8 (6). https://doi.org/10.1093/gigascience/giz053 DOI: https://doi.org/10.1093/gigascience/giz053
- Ghane, R., Alizade-Zowj, H., & Ehsanifar, F. (2019). Identifying Information Retrieval Research Trends Using Author Co-Citation Network. International Journal of Information Science and Management, 17 (2), 99–117. https://ssrn.com/abstract=3674027
- Gmür, M. (2003). Co-citation analysis and the search for invisible colleges: A methodological evaluation. Scientometrics, 57 (1), 27–57. https://doi.org/10.1023/A:1023619503005 DOI: https://doi.org/10.1023/A:1023619503005
- Gómez-Tabares, A. S. (2021). Perspectivas de estudio sobre el comportamiento suicida en niños y adolescentes: Una revisión sistemática de la literatura utilizando la teoría de grafos. Psicología Desde El Caribe, 38 (3), 408–451. https://doi.org/10.14482/psdc.38.3.362.28 DOI: https://doi.org/10.14482/psdc.38.3.362.28
- González-Valiente, C. L., León-Santos, M., Arencibia-Jorge, R., Noyons, E., & Costas, R. (2021). Mapping the Evolution of Intellectual Structure in Information Management Using Author Co-citation Analysis. Mobile Networks and Applications, 26 (6), 2374–2388. https://doi.org/10.1007/s11036-019-01231-9 DOI: https://doi.org/10.1007/s11036-019-01231-9
- Hadj-Taieb, M. A., Ben-Aouicha, M., & Turki, H. (2021). Paper co-citation analysis using semantic similarity measures. In A. Abraham, P. and Siarry, K. Ma., & A. Kaklauskas (Eds.), Advances in Intelligent Systems and Computing, 264–277. Springer International Publishing. https://doi.org/10.1007/978-3-030-49342-4_26 DOI: https://doi.org/10.1007/978-3-030-49342-4_26
- He, Y., & Cheung Hui, S. (2002). Mining a Web Citation Database for author co-citation analysis. Information Processing & Management, 38 (4), 491–508. https://doi.org/10.1016/S0306-4573(01)00046-2 DOI: https://doi.org/10.1016/S0306-4573(01)00046-2
- Hurtado-Marín, V. A., Agudelo-Giraldo, J. D., Robledo, S., & Restrepo-Parra, E. (2021). Analysis of dynamic networks based on the Ising model for the case of study of co-authorship of scientific articles. Scientific Reports, 11 (1), 5721. https://doi.org/10.1038/s41598-021-85041-8 DOI: https://doi.org/10.1038/s41598-021-85041-8
- Jeong, Y. K., Song, M., & Ding, Y. (2014). Content-based author co-citation analysis. Journal of Informetrics, 8 (1), 197–211. https://doi.org/10.1016/j.joi.2013.12.001 DOI: https://doi.org/10.1016/j.joi.2013.12.001
- Karaulova, M., Nedeva, M., & Thomas, D. A. (2020). Mapping research fields using co-nomination: the case of hyper-authorship heavy flavour physics. Scientometrics, 124 (3), 2229–2249. https://doi.org/10.1007/s11192-020-03538-x DOI: https://doi.org/10.1007/s11192-020-03538-x
- Köseoglu, M. A. (2020). Identifying the intellectual structure of fields: introduction of the MAK approach. Scientometrics, 125 (3), 2169–2197. https://doi.org/10.1007/s11192-020-03719-8 DOI: https://doi.org/10.1007/s11192-020-03719-8
- Li, P., Yang, G., & Wang, C. (2019). Visual topical analysis of library and information science. Scientometrics, 121 (3), 1753–1791. https://doi.org/10.1007/s11192-019-03239-0 DOI: https://doi.org/10.1007/s11192-019-03239-0
- Lo, K., Wang, L. L., Neumann, M., Kinney, R., & Weld, D. (2020). S2ORC: The semantic scholar open research corpus. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Online. https://doi.org/10.18653/v1/2020.acl-main.447 DOI: https://doi.org/10.18653/v1/2020.acl-main.447
- López-Rubio, P., Roig-Tierno, N., & Mas-Verdú, F. (2021). Assessing the Origins, Evolution and Prospects of National Innovation Systems. Journal of the Knowledge Economy, 13 (1), 161–184. https://doi.org/10.1007/s13132-020-00712-7 DOI: https://doi.org/10.1007/s13132-020-00712-7
- Macías-Quiroga, I. F., Henao-Aguirre, P. A., Marín-Flórez, A., Arredondo-López, S. M., & Sanabria-González, N. R. (2021). Bibliometric analysis of advanced oxidation processes (AOPs) in wastewater treatment: global and Ibero-American research trends. Environmental Science and Pollution Research International, 28 (19), 23791–23811. https://doi.org/10.1007/s11356-020-11333-7 DOI: https://doi.org/10.1007/s11356-020-11333-7
- Macías-Rojas, M., Caro, E. O., & Fernández-Morales, F. H. (2022). Las mediaciones TIC en la resolución de problemas matemáticos, un abordaje documental. Gestión y Desarrollo Libre, 7 (14). DOI: https://doi.org/10.18041/2539-3669/gestionlibre.14.2022.9384
- Ramos-Enríquez, V., Duque, P., & Salazar, J. A. V. (2021). Responsabilidad Social Corporativa y Emprendimiento: evolución y tendencias de investigación. Desarrollo Gerencial, 13 (1), 1–34. https://doi.org/10.17081/dege.13.1.4210 DOI: https://doi.org/10.17081/dege.13.1.4210
- Robledo, S., Duque, P., & Grisale-Aguirre, A. M. (2023). Word of Mouth Marketing: A Scientometric Analysis. Journal of Scientometric Research, 11 (3), 436–446. https://doi.org/10.5530/jscires.11.3.47 DOI: https://doi.org/10.5530/jscires.11.3.47
- Robledo, S., Eider, V. J., Darío, D.-M. N., & Duque-Uribe, V. (2022). Networking as an entrepreneurial marketing tool: the link between effectuation and word of mouth. Journal of Research in Marketing and Entrepreneurship, ahead-of-print. https://doi.org/10.1108/JRME-08-2020-0112 DOI: https://doi.org/10.1108/JRME-08-2020-0112
- Robledo, S., Grisales-Aguirre, A. M., Hughes, M., & Eggers, F. (2021). “Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship? Journal of Small Business Management, 1–30. https://doi.org/10.1080/00472778.2021.1955125 DOI: https://doi.org/10.1080/00472778.2021.1955125
- Robledo, S., Zuluaga, M., Valencia, L. A., Arbelaez-Echeverri, O., Duque, P., & Alzate-Cardona, J.-D. (2022). Tree of Science with Scopus: A Shiny Application. Issues in Science and Technology Librarianship, 100. https://doi.org/10.29173/istl2698 DOI: https://doi.org/10.29173/istl2698
- Rousseau, R., & Zuccala, A. (2004). A classification of author co-citations: Definitions and search strategies. Journal of the American Society for Information Science and Technology, 55 (6), 513–529. https://doi.org/10.1002/asi.10401 DOI: https://doi.org/10.1002/asi.10401
- Sanguri, K., Bhuyan, A., & Patra, S. (2020). A semantic similarity adjusted document co-citation analysis: a case of tourism supply chain. Scientometrics, 125 (1), 233–269. https://doi.org/10.1007/s11192-020-03608-0 DOI: https://doi.org/10.1007/s11192-020-03608-0
- Schneider, J. W., Larsen, B., & Ingwersen, P. (2009). A comparative study of first and all-author co-citation counting, and two different matrix generation approaches applied for author co-citation analyses. Scientometrics, 80 (1), 103–130. https://doi.org/10.1007/s11192-007-2019-y DOI: https://doi.org/10.1007/s11192-007-2019-y
- Sepúlveda-López, J. J., Ramírez-Castañeda, L. A., Bautista-Sáenz, D. P., Marín-Florez, A., & Arredondo-López, S. M. (2021). Revisión de literatura sobre modelamiento y simulación de fenómenos sociotecnológicos mediante minería de datos en bases de datos académicas. Revista Interamericana de Bibliotecología, 44 (2), e339215. https://doi.org/10.17533/udea.rib.v44n2e339215 DOI: https://doi.org/10.17533/udea.rib.v44n2e339215
- Simao, L. B., Carvalho, L. C., & Madeira, M. J. (2021). Intellectual structure of management innovation: bibliometric analysis. Management Review Quarterly, 71 (3), 651–677. https://doi.org/10.1007/s11301-020-00196-4 DOI: https://doi.org/10.1007/s11301-020-00196-4
- Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science. American Society for Information Science, 24 (4), 265–269. https://doi.org/10.1002/asi.4630240406 DOI: https://doi.org/10.1002/asi.4630240406
- Sud, A., Cheng, D. K., Moineddin, R., Zlahtic, E., & Upshur, R. (2021). Time series-based bibliometric analysis of a systematic review of multidisciplinary care for opioid dose reduction: exploring the origins of the North American opioid crisis. Scientometrics, 126 (11), 8935–8955. https://doi.org/10.1007/s11192-021-04154-z DOI: https://doi.org/10.1007/s11192-021-04154-z
- Sun, L., Wu, L., & Qi, P. (2020). Global characteristics and trends of research on industrial structure and carbon emissions: a bibliometric analysis. Environmental Science and Pollution Research International, 27 (36), 44892–44905. https://doi.org/10.1007/s11356-020-10915-9 DOI: https://doi.org/10.1007/s11356-020-10915-9
- Trejos-Salazar, D. F., Duque-Hurtado, P. L., Montoya-Restrepo, L. A., & Montoya-Restrepo, I. A. (2021). Neuroeconomía: una revisión basada en técnicas de mapeo científico. Revista de Investigación, Desarrollo e Innovación, 11 (2), 243–260. https://doi.org/10.19053/20278306.v11.n2.2021.12754 DOI: https://doi.org/10.19053/20278306.v11.n2.2021.12754
- Valencia-Hernandez, D. S., Robledo, S., Pinilla, R., Duque-Méndez, N. D., & Olivar-Tost, G. (2020). SAP algorithm for citation analysis: An improvement to tree of Science. Ingeniería E Investigación, 40 (1), 45–49. https://doi.org/10.15446/ing.investig.v40n1.77718 DOI: https://doi.org/10.15446/ing.investig.v40n1.77718
- Van-Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023). ChatGPT: five priorities for research. Nature, 614 (7947), 224–226. https://doi.org/10.1038/d41586-023-00288-7 DOI: https://doi.org/10.1038/d41586-023-00288-7
- Van-Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84 (2), 523–538. https://doi.org/10.1007/s11192-009-0146-3 DOI: https://doi.org/10.1007/s11192-009-0146-3
- Vargas-Zapata, M., Medina-Sierra, M., Galeano-Vasco, L. F., & Cerón-Muñoz, M. F. (2022). Algoritmos de aprendizaje de máquina para la predicción de propiedades fisicoquímicas del suelo mediante información espectral: una revisión sistemática. Revista de Investigación, Desarrollo e Innovación, 12 (1), 107–120. https://doi.org/10.19053/20278306.v12.n1.2022.14206 DOI: https://doi.org/10.19053/20278306.v12.n1.2022.14212
- White, H. D., & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32 (3), 163–171. https://doi.org/10.1002/asi.4630320302 DOI: https://doi.org/10.1002/asi.4630320302
- Zhao, D. (2006). Towards all-author co-citation analysis. Information Processing & Management, 42 (6), 1578–1591. https://doi.org/10.1016/j.ipm.2006.03.022 DOI: https://doi.org/10.1016/j.ipm.2006.03.022
- Zhao, D., & Strotmann, A. (2008). Comparing all-author and first-author co-citation analyses of information science. Journal of Informetrics, 2 (3), 229–239. https://doi.org/10.1016/j.joi.2008.05.004 DOI: https://doi.org/10.1016/j.joi.2008.05.004
- Zhao, D., & Strotmann, A. (2020). Telescopic and panoramic views of library and information science research 2011–2018: a comparison of four weighting schemes for author co-citation analysis. Scientometrics, 124 (1), 255–270. https://doi.org/10.1007/s11192-020-03462-0 DOI: https://doi.org/10.1007/s11192-020-03462-0
- Zheng, J., Zhou, R., Meng, B., Li, F., Liu, H., & Wu, X. (2021). Knowledge framework and emerging trends in intracranial aneurysm magnetic resonance angiography: a scientometric analysis from 2004 to 2020. Quantitative Imaging in Medicine and Surgery, 11 (5), 1854–1869. https://doi.org/10.21037/qims-20-729 DOI: https://doi.org/10.21037/qims-20-729
- Zuluaga, M., Robledo, G., Osorio-Zuluaga, G. A., Yathe, L., Gonzalez, D., & Taborda, G. (2016). Metabolomics and pesticides: systematic literature review using graph theory for analysis of references. Nova, 14 (25), 121–138. https://doi.org/10.22490/24629448.1735 DOI: https://doi.org/10.22490/24629448.1735
- Zuluaga, M., Robledo, S., Arbelaez-Echeverri, O., Osorio-Zuluaga, G. A., & Duque-Méndez, N. (2022). Tree of Science - ToS: A Web-based Tool for Scientific Literature Recommendation. Search Less, Research More! Issues in Science and Technology Librarianship, 100. https://doi.org/10.29173/istl2696 DOI: https://doi.org/10.29173/istl2696
- Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18 (3), 429–472. https://doi.org/10.1177/1094428114562629 DOI: https://doi.org/10.1177/1094428114562629
Downloads
Download data is not yet available.