Ran Wolff
Impact in
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- Peer-to-Peer Network Technologies
- Energy Efficient Wireless Sensor Networks
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Data Stream Mining Techniques 8
- Privacy-Preserving Technologies in Data 8
- Cryptography and Data Security 7
- Algorithms and Data Compression 7
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- Data Mining Algorithms and Applications 13
- Co-authors
- Assaf Schuster (21 shared papers)H. Kargupta (3 shared papers)Chris Giannella (3 shared papers)Kanishka Bhaduri (5 shared papers)Arik Friedman (2 shared papers)Souptik Datta (1 shared paper)Joel W. Branch (1 shared paper)Bolesław K. Szymański (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (3 papers)Statistical Analysis and Data Mining The ASA Data Science Journal (2 papers)IEEE Internet Computing (1 paper)The Journal of Philosophy (1 paper)The VLDB Journal (1 paper)
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Ran Wolff
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 486
- Signal Processing 227
- Artificial Intelligence 658
- Information Systems 407
- Computational Theory and Mathematics 137
Countries citing papers authored by Ran Wolff
This map shows the geographic impact of Ran Wolff'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 Ran Wolff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Wolff more than expected).
Fields of papers citing papers by Ran Wolff
This network shows the impact of papers produced by Ran Wolff. 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 Ran Wolff. The network helps show where Ran Wolff may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Wolff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 167 | |
| 2 | 2006 | 160 | |
| 3 | 2007 | 84 | |
| 4 | 2004 | 75 | |
| 5 | 2001 | 68 | |
| 6 | 2004 | 56 | |
| 7 | 2008 | 45 | |
| 8 | 2004 | 44 | |
| 9 | 2008 | 42 | |
| 10 | 2005 | 31 | |
| 11 | 2006 | 30 | |
| 12 | 2004 | 29 | |
| 13 | 2005 | 28 | |
| 14 | 2006 | 27 | |
| 15 | 2004 | 26 | |
| 16 | 2004 | 22 | |
| 17 | 2006 | 22 | |
| 18 | 2016 | 21 | |
| 19 | 2004 | 19 | |
| 20 | 2006 | 19 |
About Ran Wolff
Ran Wolff is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computational Theory and Mathematics and Signal Processing, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Data Stream Mining Techniques (8 papers), Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (7 papers), Algorithms and Data Compression (7 papers), Rough Sets and Fuzzy Logic (7 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (486 citations), Signal Processing (227 citations), Artificial Intelligence (658 citations), Information Systems (407 citations) and Computational Theory and Mathematics (137 citations). Ran Wolff has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Assaf Schuster, H. Kargupta, Chris Giannella, Kanishka Bhaduri, Arik Friedman, Souptik Datta, Joel W. Branch, Bolesław K. Szymański, Hillol Kargupta and Yitzhak Birk. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Statistical Analysis and Data Mining The ASA Data Science Journal, IEEE Internet Computing, The Journal of Philosophy and The VLDB Journal.
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.