Arie Ben‐David
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Leon SterlingArik SadehYoh‐Han PaoS. KenigEibe FrankAaron J. ShenharDov DvirMarina Fridin
- Topics
- Imbalanced Data Classification Techniques (10 papers)Data Mining Algorithms and Applications (8 papers)Rough Sets and Fuzzy Logic (8 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- Expert Systems with ApplicationsOrganizational Behavior and Human Decision ProcessesInformation & Management
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
Arie Ben‐David
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 522
- Computational Theory and Mathematics 225
- Information Systems 192
- Management Science and Operations Research 139
- Computer Vision and Pattern Recognition 95
Countries citing papers authored by Arie Ben‐David
This map shows the geographic impact of Arie Ben‐David'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 Arie Ben‐David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arie Ben‐David more than expected).
Fields of papers citing papers by Arie Ben‐David
This network shows the impact of papers produced by Arie Ben‐David. 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 Arie Ben‐David. The network helps show where Arie Ben‐David may publish in the future.
Co-authorship network of co-authors of Arie Ben‐David
This figure shows the co-authorship network connecting the top 25 collaborators of Arie Ben‐David. A scholar is included among the top collaborators of Arie Ben‐David 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 Arie Ben‐David. Arie Ben‐David is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 35 | |
| 3 | 8 | |
| 4 | 17 | |
| 5 | 29 | |
| 6 | 11 | |
| 7 | 83 | |
| 8 | 229 | |
| 9 | 9 | |
| 10 | 53 | |
| 11 | 15 | |
| 12 | 70 | |
| 13 | 0 | |
| 14 | 92 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 52 | |
| 19 | 1 | |
| 20 | 74 |
About Arie Ben‐David
Arie Ben‐David is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (10 papers), Data Mining Algorithms and Applications (8 papers) and Rough Sets and Fuzzy Logic (8 papers). The work is most often cited by research in Artificial Intelligence (522 citations), Computational Theory and Mathematics (225 citations) and Management Science and Operations Research (139 citations). Arie Ben‐David has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Leon Sterling, Arik Sadeh, Yoh‐Han Pao, S. Kenig, Eibe Frank, Aaron J. Shenhar, Dov Dvir, Marina Fridin, Rob Potharst and Michiel van Wezel. Their work appears in journals such as Expert Systems with Applications, Organizational Behavior and Human Decision Processes and Information & Management.
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.