Udi Weinsberg
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 10%
- Signal Processing top 5%
- Co-authors
- Nina TaftStratis IoannidisDan BonehValeria NikolaenkoMarc JóyeYuval ShavittSmriti BhagatAnmol Sheth
- Topics
- Peer-to-Peer Network Technologies (16 papers)Recommender Systems and Techniques (11 papers)Caching and Content Delivery (9 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsComputer NetworksKnowledge and Information Systems
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Udi Weinsberg
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 747
- Information Systems 380
- Computer Networks and Communications 303
- Sociology and Political Science 146
- Signal Processing 108
Countries citing papers authored by Udi Weinsberg
This map shows the geographic impact of Udi Weinsberg'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 Udi Weinsberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udi Weinsberg more than expected).
Fields of papers citing papers by Udi Weinsberg
This network shows the impact of papers produced by Udi Weinsberg. 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 Udi Weinsberg. The network helps show where Udi Weinsberg may publish in the future.
Co-authorship network of co-authors of Udi Weinsberg
This figure shows the co-authorship network connecting the top 25 collaborators of Udi Weinsberg. A scholar is included among the top collaborators of Udi Weinsberg 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 Udi Weinsberg. Udi Weinsberg 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 | 14 | |
| 3 | 5 | |
| 4 | 51 | |
| 5 | Learning Diffusion using Hyperparameters | 11 |
| 6 | 5 | |
| 7 | 64 | |
| 8 | 7 | |
| 9 | 40 | |
| 10 | 102 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | Estimating peer similarity using distance of shared files | 13 |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 32 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 6 |
About Udi Weinsberg
Udi Weinsberg is a scholar working on Computer Networks and Communications, Information Systems and Statistical and Nonlinear Physics, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (16 papers), Recommender Systems and Techniques (11 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Artificial Intelligence (747 citations), Information Systems (380 citations) and Computer Science Applications (74 citations). Udi Weinsberg has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Nina Taft, Stratis Ioannidis, Dan Boneh, Valeria Nikolaenko, Marc Jóye, Yuval Shavitt, Smriti Bhagat, Anmol Sheth, Xinyu Xing and Wei Meng. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Computer Networks 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.