Richard Peng

50 papers and 749 indexed citations i.

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 50 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Theory and Mathematics, 17 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Richard Peng’s work include Combinatorial Optimization and Complexity Theory (25 papers), Markov Chains and Monte Carlo Methods (11 papers) and Advanced Graph Theory Research (9 papers). Richard Peng is often cited by papers focused on Combinatorial Optimization and Complexity Theory (25 papers), Markov Chains and Monte Carlo Methods (11 papers) and Advanced Graph Theory Research (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, Michael B. Cohen, Sushant Sachdeva, Yin Tat Lee, Rasmus Kyng, Charalampos E. Tsourakakis, Adrian Vladu and Jonathan A. Kelner and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and Inflammatory Bowel Diseases.

In The Last Decade

Co-authorship network of co-authors of Richard Peng i

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.

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).

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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