Main Article Content
The field of ‘Statistics and Probability’ has expanded its scope over the last few decades and have become an integral part of many fields with continuously increasing demand. This manuscript aimed for at a bibliometric analysis and comparison of all published documents during 2015 – 2019, from journals in the study topic category of ‘Statistics and Probability’ for Q4 Impact Factor (IF) journals and Emerging Source Citation Index (ESCI) of Web of Science (WoS). Sources with incomplete data for study timeframe were excluded and 31 sources from Q4 IF and 32 from ESCI journals were selected yielding 12808 and 4294 documents respectively. After data extraction from WoS, the bibliometric analysis at; source, author and document levels, were performed using “Bibliometrix” R-package. Q4-IF sources produced around 3 times more documents than ESCI sources. Articles were the main document type for both categories. China and USA were leading countries for Q4-IF while India, USA and Korea were dominant among ESCI documents. Two authors, namely, ‘Cordeiro GM’ and ‘Alizadeh M’ were among the 10 most productive authors in both categories. Sources “Communications in Statistics-Theory and Methods” and “Korean Journal of Applied Statistics” were leading contributors for Q4-IF and ESCI category respectively. For both categories, mainly similar trends were observed for keywords and topic coverage. In both Q4-IF and ESCI journals ‘Maximum likelihood’ and ‘Ordered statistics’ were observed to be most predominant keywords. A consistent publication trend with few similarities was observed in terms of documents production over the years for these two categories.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- Abramo, G., & D’Angelo, C. A. (2011). Evaluating research: from informed peer review to bibliometrics. Scientometrics, 87(3), 499-514. DOI: https://doi.org/10.1007/s11192-011-0352-7
- Anderlucci, L., Montanari, A., & Viroli, C. (2019). The Importance of Being Clustered: Uncluttering the Trends of Statistics from 1970 to 2015. Statistical Science, 34(2), 280-300. DOI: https://doi.org/10.1214/18-STS686
- Aria, M., & Cuccurullo, C. J. J. o. i. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. 11(4), 959-975. DOI: https://doi.org/10.1016/j.joi.2017.08.007
- Butt, N. S., Malik, A. A. & Shahbaz, M. Q. (2021). Bibliometric Analysis of Statistics Journals Indexed in Web of Science under Emerging Source Citation Index SAGE Open, 11(1) 1-8. DOI: https://doi.org/10.1177/2158244020988870 DOI: https://doi.org/10.1177/2158244020988870
- De Battisti, F., Ferrara, A., & Salini, S. (2015). A decade of research in statistics: A topic model approach. Scientometrics, 103(2), 413-433. DOI: https://doi.org/10.1007/s11192-015-1554-1
- Donoho, D. (2017). 50 years of data science. Journal of Computational and Graphical Statistics, 26(4), 745-766. DOI: https://doi.org/10.1080/10618600.2017.1384734
- Drummond, G. B., & Tom, B. D. (2011). Statistics, probability, significance, likelihood: words mean what we define them to mean. Advances in physiology education, 35(4), 361-364. DOI: https://doi.org/10.1152/advan.00060.2011
- Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152. DOI: https://doi.org/10.1007/s11192-006-0144-7
- ESCI-WoS. (2015). Emerging Sources Citation Index (ESCI), ISI Web of Knowledge by Clarivate Analytics (formerly known as Thomson Reuters). https://clarivate.com/webofsciencegroup/solutions/webofscience-esci/
- Eto, H. (2000). Bibliometric distance between methodology and application in statistics. Scientometrics, 48(1), 85-97. DOI: https://doi.org/10.1023/A:1005684419288
- Harzing, A.-W. (2010). The publish or perish book: Tarma Software Research Pty Limited.
- Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National academy of Sciences, 102(46), 16569-16572. DOI: https://doi.org/10.1073/pnas.0507655102
- Hossain, M. M. (2020). Current status of global research on novel coronavirus disease (Covid-19): A bibliometric analysis and knowledge mapping. Available at SSRN 3547824. DOI: https://doi.org/10.2139/ssrn.3547824
- Jelercic, S., Lingard, H., Spiegel, W., Pichlhöfer, O., & Maier, M. (2010). Assessment of publication output in the field of general practice and family medicine and by general practitioners and general practice institutions. Family practice, 27(5), 582-589. DOI: https://doi.org/10.1093/fampra/cmq032
- Merigó, J. M., & Yang, J.-B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48. DOI: https://doi.org/10.1016/j.omega.2016.12.004
- MJL-WoS. Master Journal List (MJL), Web of Science Group. Retrieved 11.02.2020 https://mjl.clarivate.com/search-results
- Ronda-Pupo, G. A., Díaz-Contreras, C., Ronda-Velázquez, G., & Ronda-Pupo, J. C. (2015). The role of academic collaboration in the impact of Latin-American research on management. Scientometrics, 102(2), 1435-1454. DOI: https://doi.org/10.1007/s11192-014-1486-1
- Ryan, T. P., & Woodall, W. H. (2005). The most-cited statistical papers. Journal of Applied Statistics, 32(5), 461-474. DOI: https://doi.org/10.1080/02664760500079373
- Secchi, P. (2018). On the role of statistics in the era of big data: A call for a debate. Statistics & Probability Letters, 136, 10-14. DOI: https://doi.org/10.1016/j.spl.2018.02.041
- Shieh, J. C. (2010). The integration system for librarians' bibliomining. The Electronic Library. DOI: https://doi.org/10.1108/02640471011081988
- Shukla, A. K., Muhuri, P. K., & Abraham, A. (2020). A bibliometric analysis and cutting-edge overview on fuzzy techniques in Big Data. Engineering Applications of Artificial Intelligence, 92, 103625. DOI: https://doi.org/10.1016/j.engappai.2020.103625
- Stigler, S. M. (1994). Citation patterns in the journals of statistics and probability. Statistical Science, 94-108. DOI: https://doi.org/10.1214/ss/1177010655
- Varin, C., Cattelan, M., & Firth, D. (2016). Statistical modelling of citation exchange between statistics journals. Journal of the Royal Statistical Society. Series A,(Statistics in Society), 179(1), 1. DOI: https://doi.org/10.1111/rssa.12124
- Vílchez-Román, C. (2014). Bibliometric factors associated with h-index of Peruvian researchers with publications indexed on Web of Science and Scopus databases. TransInformação, 26(2), 143-154. DOI: https://doi.org/10.1590/0103-37862014000200004
- WoS. Clarivate Analytics (Formerly Thomson Reuters), Web of Science. Retrieved from https://clarivate.com/webofsciencegroup/solutions/web-of-science/
- Yi, H., Ao, X., & Ho, Y.-S. (2008). Use of citation per publication as an indicator to evaluate pentachlorophenol research. Scientometrics, 75(1), 67-80. DOI: https://doi.org/10.1007/s11192-007-1849-y
- Yu, D., & He, X. (2020). A bibliometric study for DEA applied to energy efficiency: Trends and future challenges. Applied Energy, 268, 115048. DOI: https://doi.org/10.1016/j.apenergy.2020.115048
- Yu, D., Xu, Z., Pedrycz, W., & Wang, W. (2017). Information Sciences 1968–2016: a retrospective analysis with text mining and bibliometric. Information Sciences, 418, 619-634. DOI: https://doi.org/10.1016/j.ins.2017.08.031