James R. Lee

2.6k citations
55 papers · 1.1k indexed · h-index 17

James R. Lee

52 papers receiving 1.0k citations

Peers

James R. Lee
Comparison fields: 5 of 68
  • Computer Graphics and Computer-Aided Design 198
  • Computational Theory and Mathematics 668
  • Geometry and Topology 169
  • Computational Mathematics 10
  • Discrete Mathematics and Combinatorics 51
Replace Yuri Rabinovich with:
Yuri Rabinovich Israel
Jesús A. De Loera United States
Luca Trevisan United States
Ehud Friedgut Israel
Yury Makarychev United States
Konstantin Makarychev United States
Alex Samorodnitsky Israel
Guy Kindler Israel
Prasad Raghavendra United States
Alain Pajor France
James R. Lee relative to Yuri Rabinovich Israel Yuri Rabinovich's profile →
Citations per field
00.5×3.8×
Yuri Rabinovich · 1×
Citations per year

Countries citing papers authored by James R. Lee

Since Specialization
Citations

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

Fields of papers citing papers by James R. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Lee. 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 James R. Lee. The network helps show where James R. Lee may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20232
4 20233
5 20192
6 20162
7 20146
8
Sparsest cut on quotients of the hypercube
20111
9 201014
10 20101
11 20096
12 200911
13 20066
14 200538
15 200533
16 200432
17 200462
18 20045
19 200322
20 20034

About James R. Lee

James R. Lee is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (29 papers), Advanced Graph Theory Research (27 papers), Computational Geometry and Mesh Generation (19 papers), Markov Chains and Monte Carlo Methods (10 papers), Optimization and Search Problems (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Stochastic processes and statistical mechanics (5 papers) and Geometric Analysis and Curvature Flows (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (198 citations), Computational Theory and Mathematics (668 citations) and Geometry and Topology (169 citations). James R. Lee has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Assaf Naor, Uriel Feige, MohammadTaghi Hajiaghayi, Robert Krauthgamer, Shayan Oveis Gharan, Luca Trevisan, Prasad Raghavendra, Sanjeev Arora, Guy Kortsarz and Anastasios Sidiropoulos. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the ACM and Inventiones mathematicae.

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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