G. Yuval

28 total papers · 423 total citations
17 papers, 216 citations indexed

About

G. Yuval is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, G. Yuval has authored 17 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in G. Yuval's work include Digital Image Processing Techniques (3 papers), Cooperative Communication and Network Coding (2 papers) and Parallel Computing and Optimization Techniques (2 papers). G. Yuval is often cited by papers focused on Digital Image Processing Techniques (3 papers), Cooperative Communication and Network Coding (2 papers) and Parallel Computing and Optimization Techniques (2 papers). G. Yuval collaborates with scholars based in Israel, United States and United Kingdom. G. Yuval's co-authors include Vijay V. Vazirani, Kamal Jain, Raymond W. Yeung, Michael Ian Shamos, Atul Adya, John R. Douceur, Josh Benaloh and William J. Bolosky and has published in prestigious journals such as IEEE Transactions on Information Theory, Physics Letters A and BIT Numerical Mathematics.

In The Last Decade

G. Yuval

15 papers receiving 193 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. Yuval 100 72 68 61 53 17 216
Dror Irony 129 1.3× 51 0.7× 72 1.1× 16 0.3× 39 0.7× 11 253
Stefan Schamberger 127 1.3× 47 0.7× 51 0.8× 51 0.8× 13 0.2× 12 202
Telikepalli Kavitha 54 0.5× 46 0.6× 104 1.5× 41 0.7× 28 0.5× 10 197
Darren Strash 72 0.7× 83 1.2× 69 1.0× 15 0.2× 34 0.6× 18 199
Tingxing Dong 120 1.2× 40 0.6× 103 1.5× 12 0.2× 57 1.1× 19 285
L. Snyder 189 1.9× 34 0.5× 43 0.6× 38 0.6× 18 0.3× 16 248
Vipin Kumar 138 1.4× 110 1.5× 64 0.9× 20 0.3× 30 0.6× 19 281
Kiran Kumar Matam 136 1.4× 59 0.8× 28 0.4× 36 0.6× 46 0.9× 12 219
Eden Chlamtáč 85 0.8× 72 1.0× 212 3.1× 21 0.3× 24 0.5× 15 294
David Gillman 66 0.7× 106 1.5× 63 0.9× 20 0.3× 29 0.5× 12 244

Countries citing papers authored by G. Yuval

Since Specialization
Citations

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

Fields of papers citing papers by G. Yuval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Yuval

This figure shows the co-authorship network connecting the top 25 collaborators of G. Yuval. A scholar is included among the top collaborators of G. Yuval 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 G. Yuval. G. Yuval is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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2026