Ariel D. Procaccia
- Management Science and Operations Research top 2%
- Economics and Econometrics top 5%
- Public Health, Environmental and Occupational Health top 10%
- Artificial Intelligence top 10%
- Transplantation top 5%
- Co-authors
- Tüomas SandholmJohn P. DickersonAvrim BlumNika HaghtalabDavid KurokawaMichal FeldmanMoshe TennenholtzNoga Alon
- Topics
- Auction Theory and Applications (12 papers)Game Theory and Voting Systems (10 papers)Organ Donation and Transplantation (8 papers)
- Partner nations
- United StatesIsraelGreece
In The Last Decade
Ariel D. Procaccia
26 papers receiving 567 citations
Peers
Comparison fields: 5 of 63
- Management Science and Operations Research 297
- Economics and Econometrics 238
- Public Health, Environmental and Occupational Health 160
- Artificial Intelligence 135
- Transplantation 99
Countries citing papers authored by Ariel D. Procaccia
This map shows the geographic impact of Ariel D. Procaccia'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 Ariel D. Procaccia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel D. Procaccia more than expected).
Fields of papers citing papers by Ariel D. Procaccia
This network shows the impact of papers produced by Ariel D. Procaccia. 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 Ariel D. Procaccia. The network helps show where Ariel D. Procaccia may publish in the future.
Co-authorship network of co-authors of Ariel D. Procaccia
This figure shows the co-authorship network connecting the top 25 collaborators of Ariel D. Procaccia. A scholar is included among the top collaborators of Ariel D. Procaccia 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 Ariel D. Procaccia. Ariel D. Procaccia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 23 | |
| 6 | 18 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | Collaborative PAC Learning | 7 |
| 10 | 45 | |
| 11 | Variational Dropout and the Local Reparameterization Trick. | 8 |
| 12 | 8 | |
| 13 | 22 | |
| 14 | 43 | |
| 15 | 15 | |
| 16 | 12 | |
| 17 | 34 | |
| 18 | 49 | |
| 19 | 63 | |
| 20 | 11 |
About Ariel D. Procaccia
Ariel D. Procaccia is a scholar working on Management Science and Operations Research, Transplantation and Artificial Intelligence, having authored 27 papers that have together received 584 indexed citations. Recurring topics across this work include Auction Theory and Applications (12 papers), Game Theory and Voting Systems (10 papers) and Organ Donation and Transplantation (8 papers). The work is most often cited by research in Transplantation (99 citations), Management Science and Operations Research (297 citations) and Economics and Econometrics (238 citations). Ariel D. Procaccia has collaborated with scholars based in United States, Israel and Greece. Frequent co-authors include Tüomas Sandholm, John P. Dickerson, Avrim Blum, Nika Haghtalab, David Kurokawa, Michal Feldman, Moshe Tennenholtz, Noga Alon, Junxing Wang and John K. Lai. Their work appears in journals such as Management Science, Operations Research and Transplantation.
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.