Slava Kisilevich
- Transportation top 2%
- Signal Processing top 5%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Co-authors
- Daniel A. KeimFlorian MansmannGennady AndrienkoNatalia AndrienkoLior RokachPeter Michael BakS. WróbelYuval Elovici
- Topics
- Geographic Information Systems Studies (7 papers)Data Management and Algorithms (6 papers)Human Mobility and Location-Based Analysis (6 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringDecision Support SystemsKnowledge and Information Systems
- Partner nations
- GermanyIsraelUnited States
In The Last Decade
Slava Kisilevich
18 papers receiving 592 citations
Peers
Comparison fields: 5 of 79
- Transportation 231
- Signal Processing 170
- Sociology and Political Science 163
- Computer Vision and Pattern Recognition 143
- Artificial Intelligence 136
Countries citing papers authored by Slava Kisilevich
This map shows the geographic impact of Slava Kisilevich'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 Slava Kisilevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Slava Kisilevich more than expected).
Fields of papers citing papers by Slava Kisilevich
This network shows the impact of papers produced by Slava Kisilevich. 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 Slava Kisilevich. The network helps show where Slava Kisilevich may publish in the future.
Co-authorship network of co-authors of Slava Kisilevich
This figure shows the co-authorship network connecting the top 25 collaborators of Slava Kisilevich. A scholar is included among the top collaborators of Slava Kisilevich 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 Slava Kisilevich. Slava Kisilevich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 44 | |
| 3 | 20 | |
| 4 | 34 | |
| 5 | 101 | |
| 6 | 152 | |
| 7 | 63 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 70 | |
| 11 | Towards multi-lingual summarization: A comparative analysis of sentence extraction methods on English and Hebrew corpora | 2 |
| 12 | 19 | |
| 13 | 14 | |
| 14 | 62 | |
| 15 | Demo paper: Analysis of community-contributed space and time-referenced data (example of Panoramio photos) | 3 |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 10 |
About Slava Kisilevich
Slava Kisilevich is a scholar working on Geography, Planning and Development, Transportation and Signal Processing, having authored 18 papers that have together received 640 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (7 papers), Data Management and Algorithms (6 papers) and Human Mobility and Location-Based Analysis (6 papers). The work is most often cited by research in Transportation (231 citations), Geography, Planning and Development (133 citations) and Signal Processing (170 citations). Slava Kisilevich has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Daniel A. Keim, Florian Mansmann, Gennady Andrienko, Natalia Andrienko, Lior Rokach, Peter Michael Bak, S. Wróbel, Yuval Elovici, Piotr Jankowski and Bracha Shapira. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Decision Support Systems and Knowledge and Information Systems.
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.