Elena Zheleva
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Information Systems top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Lise GetoorTianshu SunSiva ViswanathanTanya Berger‐WolfTamar GinossarTanya ClementLoretta AuvilCatherine Plaisant
- Topics
- Opinion Dynamics and Social Influence (7 papers)Internet Traffic Analysis and Secure E-voting (6 papers)Privacy-Preserving Technologies in Data (6 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Elena Zheleva
35 papers receiving 756 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 400
- Sociology and Political Science 351
- Information Systems 217
- Statistical and Nonlinear Physics 164
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Elena Zheleva
This map shows the geographic impact of Elena Zheleva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elena Zheleva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Zheleva more than expected).
Fields of papers citing papers by Elena Zheleva
This network shows the impact of papers produced by Elena Zheleva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elena Zheleva. The network helps show where Elena Zheleva may publish in the future.
Co-authorship network of co-authors of Elena Zheleva
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Zheleva. A scholar is included among the top collaborators of Elena Zheleva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elena Zheleva. Elena Zheleva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 40 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 36 | |
| 12 | 45 | |
| 13 | Designing promotion incentive to embrace social sharing: Evidence from field and lab experiments | 2 |
| 14 | 19 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | Incentivized Sharing in Social Networks | 4 |
| 18 | 1 | |
| 19 | 28 | |
| 20 | 72 |
About Elena Zheleva
Elena Zheleva is a scholar working on Management Science and Operations Research, Information Systems and Management and Statistical and Nonlinear Physics, having authored 37 papers that have together received 804 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (164 citations), Artificial Intelligence (400 citations) and Information Systems (217 citations). Elena Zheleva has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Lise Getoor, Tianshu Sun, Siva Viswanathan, Tanya Berger‐Wolf, Tamar Ginossar, Tanya Clement, Loretta Auvil, Catherine Plaisant, Aleksander Kołcz and Ben Shneiderman. Their work appears in journals such as Management Science, MIS Quarterly and Journal of Medical Internet Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.