Nima Anari

21 papers receiving 204 citations

Peers

Nima Anari
Comparison fields: 5 of 45
  • Statistics and Probability 54
  • Discrete Mathematics and Combinatorics 21
  • Management Science and Operations Research 71
  • Computer Science Applications 31
  • Computational Theory and Mathematics 65
Replace Sofiya Ostrovska with:
Sofiya Ostrovska Türkiye
Ralph P. Russo United States
Warren Schudy United States
Jean-Marc Vincent France
W. B. Vasantha Kandasamy India
Aldo G. S. Ventre Italy
Paul Dreyer United States
Jack M. Robertson United States
Pieter C. Allaart United States
Peter Vojtáš Czechia
Nima Anari relative to Sofiya Ostrovska Türkiye Sofiya Ostrovska's profile →
Citations per field
00.5×4.2×
Sofiya Ostrovska · 1×
Citations per year

Countries citing papers authored by Nima Anari

Since Specialization
Citations

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

Fields of papers citing papers by Nima Anari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201449
2 201937
3
Equilibrium pricing with positive externalities
201014
4 202213
5 201813
6 201513
7 201712
8 201811
9 20239
10 20178
11
Structured Robust Submodular Maximization: Offline and Online Algorithms
20195
12 20155
13 20243
14
Effective-Resistance-Reducing Flows and Asymmetric TSP.
20143
15 20182
16 20242
17 20232
18 20201
19 20231
20 20211

About Nima Anari

Nima Anari is a scholar working on Computational Theory and Mathematics, Statistics and Probability, Artificial Intelligence, Computer Networks and Communications and Mathematical Physics, having authored 25 papers that have together received 205 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (10 papers), Complexity and Algorithms in Graphs (7 papers), Optimization and Search Problems (5 papers), Graph theory and applications (4 papers), Machine Learning and Algorithms (4 papers), Stochastic processes and statistical mechanics (3 papers), Topological and Geometric Data Analysis (3 papers) and Advanced Graph Theory Research (3 papers). The work is most often cited by research in Statistics and Probability (54 citations), Discrete Mathematics and Combinatorics (21 citations), Management Science and Operations Research (71 citations), Computer Science Applications (31 citations) and Computational Theory and Mathematics (65 citations). Nima Anari has collaborated with scholars based in United States, Iran and Philippines. Frequent co-authors include Shayan Oveis Gharan, Gagan Goel, Afshin Nikzad, Cynthia Vinzant, Kuikui Liu, Mohit Singh, Mohammad Ghodsi, Amin Saberi, Nima Haghpanah and Hamid Mahini. Their work appears in journals such as Operations Research, Annals of Mathematics, Proceedings of the American Mathematical Society, Journal of Combinatorial Optimization and ACM Transactions on Human-Robot Interaction.

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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