Richard Shin

30 total papers · 811 total citations
12 papers, 199 citations indexed

About

Richard Shin is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Richard Shin has authored 12 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Richard Shin's work include Natural Language Processing Techniques (3 papers), Reinforcement Learning in Robotics (2 papers) and Robot Manipulation and Learning (2 papers). Richard Shin is often cited by papers focused on Natural Language Processing Techniques (3 papers), Reinforcement Learning in Robotics (2 papers) and Robot Manipulation and Learning (2 papers). Richard Shin collaborates with scholars based in United States. Richard Shin's co-authors include Dawn Song, Charles Chen, Emmanouil Antonios Platanios, Dan Klein, Adam Pauls, Jason Eisner, Sam Thomson, Benjamin Van Durme, Subhro Roy and Xin Wang and has published in prestigious journals such as Electromagnetic waves, arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Richard Shin

12 papers receiving 191 citations

Author Peers

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

Author Last Decade Papers Cites
Richard Shin 143 68 66 23 21 12 199
Yi-Qi Hu 116 0.8× 24 0.4× 28 0.4× 26 1.1× 9 0.4× 13 177
Chengtai Cao 202 1.4× 25 0.4× 64 1.0× 5 0.2× 16 0.8× 10 247
Sanghyun Hong 81 0.6× 28 0.4× 34 0.5× 7 0.3× 24 1.1× 17 149
Jonathan Uesato 147 1.0× 24 0.4× 43 0.7× 18 0.8× 18 0.9× 7 169
Peter C. Dillinger 47 0.3× 18 0.3× 24 0.4× 30 1.3× 11 0.5× 12 104
Ximeng Sun 54 0.4× 11 0.2× 83 1.3× 22 1.0× 11 0.5× 11 138
Ziqi Yang 161 1.1× 22 0.3× 37 0.6× 11 0.5× 63 3.0× 10 201
Junyi Li 170 1.2× 29 0.4× 86 1.3× 3 0.1× 10 0.5× 15 256
Manachai Toahchoodee 75 0.5× 71 1.0× 13 0.2× 22 1.0× 17 0.8× 13 151
Nicolas Loriant 102 0.7× 71 1.0× 46 0.7× 22 1.0× 8 0.4× 15 182

Countries citing papers authored by Richard Shin

Since Specialization
Citations

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

Fields of papers citing papers by Richard Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Shin

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