Nitish Korula

26 papers receiving 479 citations

Peers

Nitish Korula
Comparison fields: 5 of 45
  • Statistical and Nonlinear Physics 141
  • Management Science and Operations Research 124
  • Transportation 66
  • Artificial Intelligence 258
  • Computer Networks and Communications 133
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Xiaorui Sun United States
Atsuyoshi Nakamura Japan
Xiaowei Wu Hong Kong
Bharat Bhasker India
Eren Manavoglu United States
Sainyam Galhotra United States
Silviu Maniu France
Jesús Bernal Spain
Francesco Folino Italy
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Citations per year

Countries citing papers authored by Nitish Korula

Since Specialization
Citations

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

Fields of papers citing papers by Nitish Korula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014174
2 2016119
3 201533
4 201520
5 201620
6 201318
7
201215
8 201215
9 200812
10 20149
11 20158
12 20187
13
Bi-Objective Online Matching and Submodular Allocations
20166
14
Online Stochastic Ad Allocation: Efficiency and Fairness
20105
15 20185
16 20134
17 20144
18 20143
19 20143
20 20082

About Nitish Korula

Nitish Korula is a scholar working on Computer Networks and Communications, Management Science and Operations Research, Computational Theory and Mathematics, Marketing and Statistical and Nonlinear Physics, having authored 26 papers that have together received 491 indexed citations. Recurring topics across this work include Optimization and Search Problems (16 papers), Auction Theory and Applications (10 papers), Complexity and Algorithms in Graphs (9 papers), Advanced Graph Theory Research (8 papers), Consumer Market Behavior and Pricing (5 papers), Advanced Bandit Algorithms Research (4 papers), Complex Network Analysis Techniques (3 papers) and VLSI and FPGA Design Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (141 citations), Management Science and Operations Research (124 citations), Transportation (66 citations), Artificial Intelligence (258 citations) and Computer Networks and Communications (133 citations). Nitish Korula has collaborated with scholars based in United States, Hong Kong and Netherlands. Frequent co-authors include Silvio Lattanzi, Vahab Mirrokni, Augustin Chaintreau, Christopher Riederer, Yunsung Kim, Chandra Chekuri, Hamid Nazerzadeh, Hossein Esfandiari, Zhiyi Huang and Qiqi Yan. Their work appears in journals such as Algorithmica, IEEE Internet Computing, Journal of Graph Theory, ACM SIGMETRICS Performance Evaluation Review and Management Science.

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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