Pasin Manurangsi

1.1k citations
47 papers · 252 indexed · h-index 8
Topics
Complexity and Algorithms in Graphs (22 papers)Game Theory and Voting Systems (18 papers)Advanced Graph Theory Research (13 papers)
Journals
SHILAP Revista de lepidopterologíaArtificial IntelligenceJournal of the ACM

In The Last Decade

Pasin Manurangsi

42 papers receiving 241 citations

Peers

Pasin Manurangsi
Comparison fields: 5 of 45
  • Computational Theory and Mathematics 105
  • Economics and Econometrics 92
  • Management Science and Operations Research 77
  • Artificial Intelligence 63
  • Computer Networks and Communications 49
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Ami Paz Israel
Eric Balkanski United States
Ildikó Schlotter Hungary
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Countries citing papers authored by Pasin Manurangsi

Since Specialization
Citations

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

Fields of papers citing papers by Pasin Manurangsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasin Manurangsi

This figure shows the co-authorship network connecting the top 25 collaborators of Pasin Manurangsi. A scholar is included among the top collaborators of Pasin Manurangsi 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 Pasin Manurangsi. Pasin Manurangsi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 3
6 3
7
User-Level Differentially Private Learning via Correlated Sampling
3
8 4
9 14
10 1
11 1
12
Differentially Private Clustering: Tight Approximation Ratios
2
13 2
14 1
15 14
16 6
17 6
18 4
19 6
20 1

About Pasin Manurangsi

Pasin Manurangsi is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Management Science and Operations Research, having authored 47 papers that have together received 252 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (22 papers), Game Theory and Voting Systems (18 papers) and Advanced Graph Theory Research (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (25 citations), Computational Theory and Mathematics (105 citations) and Management Science and Operations Research (77 citations). Pasin Manurangsi has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Warut Suksompong, Xiaohui Bei, Ravi Kumar, Bundit Laekhanukit, Rajesh Chitnis, Andreas Emil Feldmann, Piotr Faliszewski, Adrià Gascón, Parinya Chalermsook and Aravindan Vijayaraghavan. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence 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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