George Chin

87 total papers · 1.1k total citations
50 papers, 605 citations indexed

About

George Chin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, George Chin has authored 50 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 14 papers in Computer Networks and Communications. Recurrent topics in George Chin's work include Scientific Computing and Data Management (14 papers), Distributed and Parallel Computing Systems (10 papers) and Data Visualization and Analytics (9 papers). George Chin is often cited by papers focused on Scientific Computing and Data Management (14 papers), Distributed and Parallel Computing Systems (10 papers) and Data Visualization and Analytics (9 papers). George Chin collaborates with scholars based in United States. George Chin's co-authors include John M. Carroll, Mary Beth Rosson, Dennis C. Neale, Olga Kuchar, Karen Schuchardt, Sutanay Choudhury, John Feo, Andrés Márquez, James D. Myers and David Hoyt and has published in prestigious journals such as Communications of the ACM, BMC Bioinformatics and Computer.

In The Last Decade

George Chin

46 papers receiving 543 citations

Author Peers

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

Author Last Decade Papers Cites
George Chin 148 145 142 128 107 50 605
Giovanna Petrone 105 0.7× 313 2.2× 186 1.3× 41 0.3× 85 0.8× 36 580
Telecommunications Board 68 0.5× 105 0.7× 80 0.6× 41 0.3× 64 0.6× 30 670
Nelson Baloian 91 0.6× 193 1.3× 93 0.7× 134 1.0× 36 0.3× 119 650
Ludger van Elst 100 0.7× 215 1.5× 215 1.5× 146 1.1× 57 0.5× 39 542
Kai A. Olsen 254 1.7× 128 0.9× 151 1.1× 44 0.3× 66 0.6× 46 623
Harald Weinreich 64 0.4× 329 2.3× 123 0.9× 99 0.8× 121 1.1× 15 563
Benedikt Schmidt 64 0.4× 199 1.4× 211 1.5× 50 0.4× 58 0.5× 46 590
Pernilla Qvarfordt 105 0.7× 219 1.5× 118 0.8× 186 1.5× 89 0.8× 29 571
Marino Segnan 109 0.7× 333 2.3× 180 1.3× 39 0.3× 82 0.8× 37 553
Hartmut Obendorf 58 0.4× 279 1.9× 78 0.5× 130 1.0× 122 1.1× 21 504

Countries citing papers authored by George Chin

Since Specialization
Citations

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

Fields of papers citing papers by George Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Chin

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