Dorian Chan
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
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- Optimization and Variational Analysis
- Contact Mechanics and Variational Inequalities
Papers in
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- Advanced Optical Sensing Technologies 5
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- Optical measurement and interference techniques 2
- Co-authors
- Jong‐Shi Pang (2 shared papers)Srinivasa G. Narasimhan (4 shared papers)Matthew O’Toole (6 shared papers)Rachel Albert (1 shared paper)Dan B Goldman (1 shared paper)James F. O’Brien (1 shared paper)Tianyuan Zhang (1 shared paper)
- Journals
- Mathematics of Operations Research (1 paper)Mathematical Programming (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United States
In The Last Decade
Dorian Chan
8 papers receiving 413 citations
Peers
Comparison fields: 5 of 53
- Numerical Analysis 150
- Computational Theory and Mathematics 315
- Transportation 98
- Applied Mathematics 74
- Geometry and Topology 38
Countries citing papers authored by Dorian Chan
This map shows the geographic impact of Dorian 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 Dorian Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorian Chan more than expected).
Fields of papers citing papers by Dorian Chan
This network shows the impact of papers produced by Dorian 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 Dorian Chan. The network helps show where Dorian Chan may publish in the future.
Co-authors
The 7 scholars most cited alongside Dorian 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
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 220 | |
| 2 | 1982 | 212 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 8 | |
| 5 | 2018 | 8 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 |
About Dorian Chan
Dorian Chan is a scholar working on Instrumentation, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 9 papers that have together received 463 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (5 papers), Optical measurement and interference techniques (2 papers), Optimization and Variational Analysis (2 papers), Robotics and Sensor-Based Localization (1 paper), Point processes and geometric inequalities (1 paper), Seismic Waves and Analysis (1 paper), Optical Coherence Tomography Applications (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Numerical Analysis (150 citations), Computational Theory and Mathematics (315 citations), Transportation (98 citations), Applied Mathematics (74 citations) and Geometry and Topology (38 citations). Dorian Chan has collaborated with scholars based in United States. Frequent co-authors include Jong‐Shi Pang, Srinivasa G. Narasimhan, Matthew O’Toole, Rachel Albert, Dan B Goldman, James F. O’Brien and Tianyuan Zhang. Their work appears in journals such as Mathematics of Operations Research, Mathematical Programming, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and eScholarship (California Digital Library).
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.