Nati Linial
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Discrete Mathematics and Combinatorics top 5%
- Geometry and Topology top 10%
- Computer Networks and Communications
- Co-authors
- Adi ShraibmanAmit DanielyYonatan BiluShai Shalev‐ShwartzShahar MendelsonGideon SchechtmanMichael SaksSébastien Bubeck
- Topics
- Advanced Graph Theory Research (14 papers)Limits and Structures in Graph Theory (13 papers)Complexity and Algorithms in Graphs (8 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputational Theory and MathematicsComputational Mathematics
- Journals
- IEEE Transactions on Information TheoryJournal of Combinatorial Theory Series BIsrael Journal of Mathematics
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Nati Linial
33 papers receiving 321 citations
Peers
Comparison fields: 5 of 44
- Computational Theory and Mathematics 216
- Artificial Intelligence 169
- Discrete Mathematics and Combinatorics 92
- Geometry and Topology 62
- Computer Networks and Communications 52
Countries citing papers authored by Nati Linial
This map shows the geographic impact of Nati Linial'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 Nati Linial with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nati Linial more than expected).
Fields of papers citing papers by Nati Linial
This network shows the impact of papers produced by Nati Linial. 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 Nati Linial. The network helps show where Nati Linial may publish in the future.
Co-authorship network of co-authors of Nati Linial
This figure shows the co-authorship network connecting the top 25 collaborators of Nati Linial. A scholar is included among the top collaborators of Nati Linial 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 Nati Linial. Nati Linial is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 23 | |
| 18 | 26 | |
| 19 | EXPANDERS, EIGENVALUES, AND ALL THAT | 1 |
| 20 | Lifts, Discrepancy and Nearly Optimal Spectral Gaps | 25 |
About Nati Linial
Nati Linial is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Geometry and Topology, having authored 35 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (14 papers), Limits and Structures in Graph Theory (13 papers) and Complexity and Algorithms in Graphs (8 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (92 citations), Computational Theory and Mathematics (216 citations) and Computational Mathematics (8 citations). Nati Linial has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Adi Shraibman, Amit Daniely, Yonatan Bilu, Shai Shalev‐Shwartz, Shahar Mendelson, Gideon Schechtman, Michael Saks, Sébastien Bubeck, Joel Hass and Benny Sudakov. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of Combinatorial Theory Series B and Israel Journal of Mathematics.
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.