Keith Paarporn

75 total papers · 578 total citations
26 papers, 334 citations indexed

About

Keith Paarporn is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, Keith Paarporn has authored 26 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 6 papers in Statistical and Nonlinear Physics and 6 papers in Economics and Econometrics. Recurrent topics in Keith Paarporn's work include Game Theory and Applications (10 papers), Opinion Dynamics and Social Influence (6 papers) and Infrastructure Resilience and Vulnerability Analysis (5 papers). Keith Paarporn is often cited by papers focused on Game Theory and Applications (10 papers), Opinion Dynamics and Social Influence (6 papers) and Infrastructure Resilience and Vulnerability Analysis (5 papers). Keith Paarporn collaborates with scholars based in United States, Saudi Arabia and Netherlands. Keith Paarporn's co-authors include Ceyhun Eksin, Joshua S. Weitz, William C. Ratcliff, Sam P. Brown, Jason R. Marden, Alfredo García, Mahnoosh Alizadeh, Jeff S. Shamma, Magnus Egerstedt and Philip N. Brown and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Automatic Control and Journal of Theoretical Biology.

In The Last Decade

Keith Paarporn

20 papers receiving 319 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Keith Paarporn	198	142	120	83	59	26	334
Md. Rajib Arefin	189 1.0×	113 0.8×	154 1.3×	166 2.0×	65 1.1×	22	364
Maja Duh	149 0.8×	78 0.5×	59 0.5×	45 0.5×	114 1.9×	12	327
Joung-Hun Lee	269 1.4×	97 0.7×	79 0.7×	17 0.2×	77 1.3×	10	392
Weiran Cai	103 0.5×	46 0.3×	78 0.7×	49 0.6×	170 2.9×	22	361
Dun Han	151 0.8×	63 0.4×	90 0.8×	123 1.5×	167 2.8×	34	401
Zhao Song	251 1.3×	109 0.8×	79 0.7×	11 0.1×	69 1.2×	34	381
P.H.T. Schimit	67 0.3×	56 0.4×	120 1.0×	125 1.5×	74 1.3×	31	307
Yue Zhang	35 0.2×	56 0.4×	99 0.8×	57 0.7×	25 0.4×	25	293
Ning Ning Chung	73 0.4×	27 0.2×	35 0.3×	32 0.4×	100 1.7×	27	295
Yohsuke Murase	146 0.7×	45 0.3×	13 0.1×	21 0.3×	136 2.3×	31	397

Countries citing papers authored by Keith Paarporn

Since Specialization

Citations

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

Fields of papers citing papers by Keith Paarporn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Paarporn

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

All Works

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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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