Yoad Lewenberg
- Information Systems top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Economics and Econometrics
- Co-authors
- Yoram BachrachJeffrey S. RosenscheinYonatan SompolinskyAviv ZoharOmer LevSvitlana VolkovaAntonio CriminisiYair Zick
- Topics
- Auction Theory and Applications (6 papers)Game Theory and Voting Systems (5 papers)Game Theory and Applications (3 papers)
- Journals
- IEEE Intelligent SystemsApollo (University of Cambridge)arXiv (Cornell University)
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Yoad Lewenberg
16 papers receiving 207 citations
Peers
Comparison fields: 5 of 39
- Information Systems 126
- Artificial Intelligence 66
- Management Science and Operations Research 47
- Computer Networks and Communications 44
- Economics and Econometrics 40
Countries citing papers authored by Yoad Lewenberg
This map shows the geographic impact of Yoad Lewenberg'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 Yoad Lewenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoad Lewenberg more than expected).
Fields of papers citing papers by Yoad Lewenberg
This network shows the impact of papers produced by Yoad Lewenberg. 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 Yoad Lewenberg. The network helps show where Yoad Lewenberg may publish in the future.
Co-authorship network of co-authors of Yoad Lewenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Yoad Lewenberg. A scholar is included among the top collaborators of Yoad Lewenberg 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 Yoad Lewenberg. Yoad Lewenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | Political dimensionality estimation using a probabilistic graphical model | 4 |
| 10 | 1 | |
| 11 | Misrepresentation in district voting | 14 |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 127 | |
| 18 | 15 |
About Yoad Lewenberg
Yoad Lewenberg is a scholar working on Management Science and Operations Research, Safety Research and General Social Sciences, having authored 18 papers that have together received 213 indexed citations. Recurring topics across this work include Auction Theory and Applications (6 papers), Game Theory and Voting Systems (5 papers) and Game Theory and Applications (3 papers). The work is most often cited by research in Information Systems (126 citations), Management Science and Operations Research (47 citations) and Artificial Intelligence (66 citations). Yoad Lewenberg has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Yoram Bachrach, Jeffrey S. Rosenschein, Yonatan Sompolinsky, Aviv Zohar, Omer Lev, Svitlana Volkova, Antonio Criminisi, Yair Zick, Ulrich Paquet and Lucas Bordeaux. Their work appears in journals such as IEEE Intelligent Systems, Apollo (University of Cambridge) and arXiv (Cornell University).
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.