Electronic Voting Research Papers in Web of Science: A Bibliometric Analysis
DOI:
https://doi.org/10.61841/2e5pq855Keywords:
Electronic Voting, e-Voting, Digital Voting, Bibliometrics, Web of ScienceAbstract
Purpose: The main aim of the paper is to investigate and recognize trends in electronic voting research at an international level.
Design/methodology/approach: Retrieval of the data was from the database of Web of Science on the topic Electronic Voting that covered the period from 1988-2020 to identify useful contributions that have been produced and published in the respective field. A total of 994 data records were retrieved from the database. Several trends predominating in digital voting research, including well-known contributing countries, adopted patterns of authorship, the degree of co-authorship, cross-country co-authorship, prominent sources for research publication, recognition of research in the course of citation trends like average citation per year, top-cited papers, citations received/citations per paper, etc., were discovered by analysis of the data.
Findings: There has been constructive growth in the literature since 1988, as revealed by the analysis. As evident from the analysis, half of the research output was contributed by the five countries—USA, England, China, Spain, and Germany—with a total of 491 journals published. When it comes to the effectiveness of the papers, Denmark leads with a PEI of 4.87. It is followed by Canada with a PEI of 4.60 and Scotland with a PEI of 2.80.
Most of the journals belong to the Computer Science and Political Science categories of Web of Science.
Also, the number of times these papers are cited per year is increasing rapidly for the given duration. This shows there is an increase in research in the field of digital voting. The COVID-19 pandemic can be held accountable for the irregularity in the trend in 2020 that has halted the research in the field. On performing linear regression, it was observed that we can expect positive growth in the number of citations in the coming years.
Downloads
References
1. Gochhait, S. (2011). "Strategic impact of synergy between information technology and business processes on the performance of the companies in India," published in refereed International Journal of Innovation, Management, and Technology, ISSN: 2010-0248, Vol. 2: Issue 4, 2011.
2. Gochhait, S., Tripathy, P.C., Almedia, F.M.D. (2014). “The Role of Innovation and Knowledge Management Impact on the Organizational Performance in a Free Trade Economy," World Review of Science, Technology, and Sustainable Development, ISSN: 1741-2234, 08/2014: 11(2).
3. Harande, Y. I. & Ladan, B. F. (2013). A Bibliometrics Study on E-Learning Literature of Nigeria. Journal of Education and Human Development (Vol. 2). Retrieved from www.aripd.org/jehd
4. Hazarika, T., Goswami, K., & Das, P. (2003). Bibliometric Analysis of Indian Foresters: 1991-2000. Retrieved from http://eprints.rclis.org/5828/
5. Jain, B. (2019, May 21). LokSabha Elections 2019: At 67.1%, 2019 turnout's a record: Election Commission: India News - Times of India. Retrieved June 12, 2020, from https://timesofindia.indiatimes.com/india/at-67-1-2019-turnouts-a-record-electioncommission/articleshow/69419715.cms
6. Mantyla, MV; Graziotin, D; Kuutila, M. (2018). The Evolution of Sentiment Analysis: A Review of Research Topics, Venues, and Top Cited Papers. Retrieved from https://arxiv.org/abs/1612.01556
7. Mattsson, P. (2008). Bibliometrics as a tool for research evaluation, (5), Theeuroscience.
8. Mingers, J. & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2015.04.002
9. Okubo, Y. (1997). Bibliometric Indicators and Analysis of Research Systems: Methods and Examples. OECD Science, Technology, and Industry Working Papers. https://doi.org/http://dx.doi.org/10.1787/208277770603
10. Peralta, R. (2016, May 23). Electronic voting. Retrieved June 12, 2020, from https://www.britannica.com/topic/electronic-voting
11. Savaget, Paulo & Chiarini, Tulio & Evans, Steve. (2018). Empowering political participation through artificial intelligence. Science and Public Policy. 10.1093/scipol/scy064
Downloads
Published
Issue
Section
License
Copyright (c) 2020 AUTHOR
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
