Yonatan Bilu

37 papers receiving 767 citations

Peers

Yonatan Bilu
Comparison fields: 5 of 107
  • Discrete Mathematics and Combinatorics 90
  • Algebra and Number Theory 123
  • Geometry and Topology 184
  • Artificial Intelligence 348
  • Computational Theory and Mathematics 133
Replace Hans Cuypers with:
Hans Cuypers Netherlands
Daniel M. Gordon United States
Stephen Kirkland Canada
M. Cecilia Verri Italy
Winfried Just United States
Mike Develin United States
Joseph A. Gallian United States
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Citations per field
00.5×8.7×
Hans Cuypers · 1×
Citations per year

Countries citing papers authored by Yonatan Bilu

Since Specialization
Citations

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

Fields of papers citing papers by Yonatan Bilu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yonatan Bilu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yonatan Bilu Line = papers co-authored together Yonatan Bilu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202410
4 202328
5 20233
6 20232
7 20233
8 201912
9 20195
10
Context Dependent Claim Detection
2014100
11
Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora
20144
12 200741
13 200628
14 20066
15 200514
16 200546
17 200319
18
Lifts, Discrepancy and Nearly Optimal Spectral Gaps
200325
19 20029
20 2001176

About Yonatan Bilu

Yonatan Bilu is a scholar working on Discrete Mathematics and Combinatorics, General Psychology, Geometry and Topology, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 39 papers that have together received 854 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers), Graph theory and applications (5 papers), Advanced Graph Theory Research (5 papers), Bioinformatics and Genomic Networks (4 papers), Finite Group Theory Research (4 papers), Software Engineering Research (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (90 citations), Algebra and Number Theory (123 citations), Geometry and Topology (184 citations), Artificial Intelligence (348 citations) and Computational Theory and Mathematics (133 citations). Yonatan Bilu has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Paul Voutier, Guillaume Hanrot, Nathan Linial, Naama Barkai, Noam Slonim, Daniel Hershcovich, Ehud Aharoni, Ran Levy, Nati Linial and Itay Tirosh. Their work appears in journals such as Journal of Combinatorial Theory Series B, JAMA Network Open, Combinatorics Probability Computing, Journal of Adolescent Health and COMBINATORICA.

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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