Richard Peng

186 total papers · 3.5k total citations
56 papers, 1.0k citations indexed

About

Richard Peng is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Richard Peng has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Theory and Mathematics, 18 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Richard Peng's work include Complexity and Algorithms in Graphs (28 papers), Advanced Graph Theory Research (14 papers) and Sparse and Compressive Sensing Techniques (9 papers). Richard Peng is often cited by papers focused on Complexity and Algorithms in Graphs (28 papers), Advanced Graph Theory Research (14 papers) and Sparse and Compressive Sensing Techniques (9 papers). Richard Peng collaborates with scholars based in United States, Canada and Puerto Rico. Richard Peng's co-authors include Gary L. Miller, Ioannis Koutis, Shen Xu, Charalampos E. Tsourakakis, Michael B. Cohen, Rasmus Kyng, Jakub Pachocki, Sushant Sachdeva, Kanat Tangwongsan and Michael Mitzenmacher and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and SIAM Journal on Computing.

In The Last Decade

Richard Peng

53 papers receiving 982 citations

Author Peers

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

Author						Papers	Cites
Richard Peng	546	436	270	193	174	56	1.0k
Nikhil Srivastava	412 0.8×	354 0.8×	190 0.7×	141 0.7×	171 1.0×	34	1.1k
Yuri Rabinovich	631 1.2×	264 0.6×	325 1.2×	171 0.9×	44 0.3×	38	1.2k
Konstantin Makarychev	555 1.0×	354 0.8×	428 1.6×	108 0.6×	68 0.4×	67	1.2k
James R. Lee	671 1.2×	191 0.4×	254 0.9×	93 0.5×	80 0.5×	55	1.1k
František Matúš	267 0.5×	290 0.7×	163 0.6×	134 0.7×	120 0.7×	49	795
Yin Tat Lee	367 0.7×	331 0.8×	208 0.8×	84 0.4×	42 0.2×	46	807
David Steurer	713 1.3×	388 0.9×	264 1.0×	45 0.2×	54 0.3×	47	1.1k
Nisheeth K. Vishnoi	431 0.8×	385 0.9×	139 0.5×	87 0.5×	81 0.5×	75	970
Ravindran Kannan	337 0.6×	327 0.8×	94 0.3×	130 0.7×	52 0.3×	28	846
Josef Leydold	302 0.6×	239 0.5×	116 0.4×	107 0.6×	133 0.8×	54	950

Countries citing papers authored by Richard Peng

Since Specialization

Citations

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

Fields of papers citing papers by Richard Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Peng. A scholar is included among the top collaborators of Richard Peng 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 Richard Peng. Richard Peng 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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