George Chin

1.1k total citations
50 papers, 608 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 608 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, Andrés Márquez, John Feo, 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 546 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
George Chin United States 14 149 145 144 127 107 50 608
Giovanna Petrone Italy 10 106 0.7× 314 2.2× 189 1.3× 41 0.3× 85 0.8× 36 584
Anna Goy Italy 11 145 1.0× 406 2.8× 228 1.6× 47 0.4× 83 0.8× 36 704
Andreas Geyer-Schulz Germany 11 119 0.8× 113 0.8× 172 1.2× 126 1.0× 172 1.6× 54 727
Alexander J. Quinn United States 11 234 1.6× 156 1.1× 317 2.2× 102 0.8× 75 0.7× 23 1.0k
Telecommunications Board 13 64 0.4× 88 0.6× 71 0.5× 39 0.3× 57 0.5× 26 601
Ludger van Elst Germany 12 100 0.7× 215 1.5× 215 1.5× 146 1.1× 58 0.5× 39 544
Haoqi Zhang United States 17 131 0.9× 164 1.1× 270 1.9× 115 0.9× 86 0.8× 67 939
Delfina Malandrino Italy 19 299 2.0× 260 1.8× 234 1.6× 119 0.9× 36 0.3× 96 1.0k
Pernilla Qvarfordt United States 11 105 0.7× 220 1.5× 119 0.8× 188 1.5× 89 0.8× 29 574
Juan I. Asensio‐Pérez Spain 23 138 0.9× 485 3.3× 254 1.8× 151 1.2× 60 0.6× 125 1.7k

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

20 of 20 papers shown
1.
Chin, George, et al.. (2022). ITeM: Independent temporal motifs to summarize and compare temporal networks. Intelligent Data Analysis. 26(4). 1071–1096. 2 indexed citations
2.
Chin, George, et al.. (2021). The Utility in Conjoint Analysis as a Fast Expert Elicitation Technique. 53. 1–6. 1 indexed citations
3.
Smith, William P., et al.. (2021). Transactional Knowledge Graph Generation To Model Adversarial Activities. 2021 IEEE International Conference on Big Data (Big Data). 57. 2662–2671.
4.
Chin, George, et al.. (2020). A Dynamic Contingency Analysis Visualization Tool. 1–5. 1 indexed citations
5.
Chin, George, et al.. (2020). Evaluation of Alignment: Precision, Recall, Weighting and Limitations. 2513–2519. 6 indexed citations
6.
Chin, George, et al.. (2017). Visual steering and modeling environment for smart grid models and simulations. 1–5. 2 indexed citations
7.
Ngu, Anne H. H., et al.. (2011). Kepler Scientific Workflow Design and Execution with Contexts. 18(3). 133–147. 1 indexed citations
8.
9.
Critchlow, Terence & George Chin. (2011). Supercomputing and Scientific Workflows Gaps and Requirements. 4. 208–211. 3 indexed citations
10.
Schuchardt, Karen, Khushbu Agarwal, Jared Chase, et al.. (2010). Task parallel sensitivity analysis and parameter estimation of groundwater simulations through the SALSSA framework. 1 indexed citations
11.
Chin, George, et al.. (2010). Fault Detection in Distributed Climate Sensor Networks Using Dynamic Bayesian Networks. 50. 121–128. 11 indexed citations
12.
Chin, George, et al.. (2009). Exploring the analytical processes of intelligence analysts. 11–20. 58 indexed citations
13.
Chin, George, et al.. (2008). BioGraphE: high-performance bionetwork analysis using the Biological Graph Environment. BMC Bioinformatics. 9(S6). S6–S6. 13 indexed citations
14.
Wong, Pak Chung, et al.. (2008). A Dynamic Multiscale Magnifying Tool for Exploring Large Sparse Graphs. Information Visualization. 7(2). 105–117. 7 indexed citations
15.
Nieplocha, Jarek, et al.. (2007). Evaluating the potential of multithreaded platforms for irregular scientific computations. 47–58. 30 indexed citations
16.
Chin, George, et al.. (2006). Developing Concept-Based User Interfaces for Scientific Computing. Computer. 39(9). 26–34. 6 indexed citations
17.
Stephan, Eric, et al.. (2004). Synchronized Biological Knowledge and Data Management: A Hybrid Approach. 105–112.
18.
Hoyt, David, et al.. (2004). Expanding your laboratory by accessing collaboratory resources. Analytical and Bioanalytical Chemistry. 378(6). 1408–1410. 1 indexed citations
19.
20.
Chin, George, et al.. (2000). Participatory Workflow Analysis: Unveilling Scientific Research Processes with Physical Scientists. Participatory Design Conference. 30–39. 6 indexed citations

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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