Shachar Lovett

2.1k citations
103 papers · 680 indexed · h-index 15

Shachar Lovett

97 papers receiving 608 citations

Peers

Shachar Lovett
Comparison fields: 5 of 49
  • Discrete Mathematics and Combinatorics 151
  • Computational Theory and Mathematics 353
  • Artificial Intelligence 402
  • Algebra and Number Theory 45
  • Numerical Analysis 40
Replace Zeev Dvir with:
Zeev Dvir United States
Alex Samorodnitsky Israel
Amir Yehudayoff Israel
Amir Shpilka Israel
Neeraj Kayal India
Arne Storjohann Canada
Peter Kirschenhofer Austria
Hariharan Narayanan United States
Stasys Jukna Germany
Gilles Villard France
Shachar Lovett relative to Zeev Dvir United States Zeev Dvir's profile →
Citations per field
00.5×3.1×
Zeev Dvir · 1×
Citations per year

Countries citing papers authored by Shachar Lovett

Since Specialization
Citations

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

Fields of papers citing papers by Shachar Lovett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shachar Lovett, 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 Shachar Lovett Line = papers co-authored together Shachar Lovett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2
20221
3
Codes over integers, and the singularity of random matrices with large entries
20201
4
20193
5
20192
6
201911
7
The analytic rank of tensors is subadditive, and its applications
20181
8 20175
9
20173
10
20156
11 201411
12
20135
13
Linear systems over abelian groups.
20110
14
Correlation bounds for poly-size AC 0 circuits with n 1-o(1) symmetric gates
20113
15
20110
16
20118
17
Testing of exponentially large codes, by a new extension to Weil bound for character sums.
20104
18
Explicit lower bound for fooling polynomials by the sum of small-bias generators.
20093
19
200921
20 200825

About Shachar Lovett

Shachar Lovett is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Algebra and Number Theory, having authored 103 papers that have together received 680 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (44 papers), Coding theory and cryptography (34 papers), Limits and Structures in Graph Theory (29 papers), Advanced Graph Theory Research (21 papers), graph theory and CDMA systems (17 papers), Cryptography and Data Security (16 papers), Cooperative Communication and Network Coding (11 papers) and Machine Learning and Algorithms (9 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (151 citations), Computational Theory and Mathematics (353 citations) and Artificial Intelligence (402 citations). Shachar Lovett has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Tali Kaufman, Raghu Meka, Yevgeniy Dodis, Zeev Dvir, Hamed Hatami, Yael Tauman Kalai, Ely Porat, Roy Meshulam, Divesh Aggarwal and Alex Samorodnitsky. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Journal of the ACM.

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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