Yonatan Bilu

40 papers receiving 883 citations

Peers

Yonatan Bilu
Comparison fields: 5 of 102
  • Discrete Mathematics and Combinatorics 95
  • Algebra and Number Theory 130
  • Geometry and Topology 194
  • Artificial Intelligence 430
  • Computational Theory and Mathematics 150
Replace Hans Cuypers with:
Hans Cuypers Netherlands
Bruno Leclerc France
David Joyner United States
Mike Develin United States
Eric Kuo United States
Daniel J. Velleman United States
Winfried Just United States
Richard Rasala United States
Michael C. McCord United States
Joseph A. Gallian United States
Yonatan Bilu relative to Hans Cuypers Netherlands Hans Cuypers's profile →
Citations per field
00.5×9.8×
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

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001186
2 2017119
3
Context Dependent Claim Detection
2014115
4 200687
5 200549
6 200743
7 202330
8
Lifts, Discrepancy and Nearly Optimal Spectral Gaps
200330
9 200629
10 202026
11 201225
12 199724
13 200320
14 201619
15 201519
16 200514
17 201914
18 201912
19 200211
20 202410

About Yonatan Bilu

Yonatan Bilu is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Information Systems, having authored 42 papers that have together received 984 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers), Graph theory and applications (5 papers), Advanced Graph Theory Research (5 papers), Bioinformatics and Genomic Networks (5 papers), Finite Group Theory Research (4 papers), Software Engineering Research (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (95 citations), Algebra and Number Theory (130 citations), Geometry and Topology (194 citations), Artificial Intelligence (430 citations) and Computational Theory and Mathematics (150 citations). Yonatan Bilu has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Guillaume Hanrot, Paul Voutier, Nathan Linial, Noam Slonim, Naama Barkai, Daniel Hershcovich, Ehud Aharoni, Ran Levy, Nati Linial and Yufang Hou. Their work appears in journals such as Journal of Combinatorial Theory Series B, Combinatorics Probability Computing, JAMA Network Open, Journal of the American Medical Informatics Association and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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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