Joel Chan
Impact in
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- Open Source Software Innovations
- Mobile Crowdsensing and Crowdsourcing
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- Creativity in Education and Neuroscience
- Visual and Cognitive Learning Processes
Papers in
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- Advanced Text Analysis Techniques 8
- Natural Language Processing Techniques 6
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- Design Education and Practice 17
- Co-authors
- Christian D. Schunn (15 shared papers)Steven P. Dow (11 shared papers)Jonathan Cagan (6 shared papers)Kenneth Kotovsky (6 shared papers)Katherine Fu (6 shared papers)Kristin L. Wood (4 shared papers)Krzysztof Z. Gajos (4 shared papers)Pao Siangliulue (4 shared papers)
- Journals
- Journal of Mechanical Design (3 papers)Design Studies (3 papers)Cellular and Molecular Life Sciences (3 papers)Proceedings of the ACM on Human-Computer Interaction (2 papers)Journal of Investigative Dermatology (2 papers)
- Partner nations
- United StatesIsraelDenmark
In The Last Decade
Joel Chan
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 146
- Computer Science Applications 221
- Experimental and Cognitive Psychology 485
- Human-Computer Interaction 172
- Management of Technology and Innovation 191
- Mechanical Engineering 595
Countries citing papers authored by Joel Chan
This map shows the geographic impact of Joel Chan'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 Joel Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Chan more than expected).
Fields of papers citing papers by Joel Chan
This network shows the impact of papers produced by Joel Chan. 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 Joel Chan. The network helps show where Joel Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Joel Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 213 | |
| 2 | 2013 | 191 | |
| 3 | 2014 | 95 | |
| 4 | 2015 | 73 | |
| 5 | 2016 | 68 | |
| 6 | 2014 | 62 | |
| 7 | 2016 | 62 | |
| 8 | 2019 | 56 | |
| 9 | 2020 | 53 | |
| 10 | 2012 | 45 | |
| 11 | 2018 | 42 | |
| 12 | 2015 | 39 | |
| 13 | 2017 | 36 | |
| 14 | 2017 | 36 | |
| 15 | 2017 | 31 | |
| 16 | eek and erk, new members of the eph subclass of receptor protein-tyrosine kinases. | 1991 | 30 |
| 17 | 2017 | 28 | |
| 18 | 1974 | 27 | |
| 19 | 2021 | 27 | |
| 20 | 2019 | 25 |
About Joel Chan
Joel Chan is a scholar working on Artificial Intelligence, Mechanical Engineering, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Design Education and Practice (17 papers), Creativity in Education and Neuroscience (15 papers), Data Visualization and Analytics (10 papers), Open Source Software Innovations (10 papers), Advanced Text Analysis Techniques (8 papers), Team Dynamics and Performance (7 papers), Mobile Crowdsensing and Crowdsourcing (7 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Computer Science Applications (221 citations), Experimental and Cognitive Psychology (485 citations), Human-Computer Interaction (172 citations), Management of Technology and Innovation (191 citations) and Mechanical Engineering (595 citations). Joel Chan has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Christian D. Schunn, Steven P. Dow, Jonathan Cagan, Kenneth Kotovsky, Katherine Fu, Kristin L. Wood, Krzysztof Z. Gajos, Pao Siangliulue, Aniket Kittur and Dafna Shahaf. Their work appears in journals such as Journal of Mechanical Design, Design Studies, Cellular and Molecular Life Sciences, Proceedings of the ACM on Human-Computer Interaction and Journal of Investigative Dermatology.
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.