Udi Wieder

20 papers and 288 indexed citations i.

About

Udi Wieder is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Udi Wieder has authored 20 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Udi Wieder’s work include Algorithms and Data Compression (8 papers), Peer-to-Peer Network Technologies (7 papers) and Advanced Data Storage Technologies (6 papers). Udi Wieder is often cited by papers focused on Algorithms and Data Compression (8 papers), Peer-to-Peer Network Technologies (7 papers) and Advanced Data Storage Technologies (6 papers). Udi Wieder collaborates with scholars based in United States, Israel and India. Udi Wieder's co-authors include Michael Mitzenmacher, Moni Naor, Kunal Talwar, Rina Panigrahy‎, Adam Kirsch, Thomas Holenstein, Yuval Peres, James Aspnes, Gil Segev and Nicholas A. Murphy and has published in prestigious journals such as SIAM Journal on Computing, Proceedings of the VLDB Endowment and Random Structures and Algorithms.

In The Last Decade

Co-authorship network of co-authors of Udi Wieder i

Fields of papers citing papers by Udi Wieder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Udi Wieder. 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 Wieder. The network helps show where Udi Wieder may publish in the future.

Countries citing papers authored by Udi Wieder

Since Specialization
Citations

This map shows the geographic impact of Udi Wieder'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 Wieder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udi Wieder more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025