Jacqueline Chen
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 5%
Papers in
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- Scientific Computing and Data Management 6
- Co-authors
- Nicola De StefanoMark JenkinsonPaul M. MatthewsYongyue ZhangAntonio FedericoStephen M. SmithHemanth KollaScott Klasky
- Journals
- Journal of Visualized Experiments (2 papers)Scientific Reports (1 paper)Acta Neuropathologica Communications (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)American Journal of Preventive Medicine (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jacqueline Chen
49 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Pathology and Forensic Medicine 877
- Neurology 271
- Neurology 448
- Radiology, Nuclear Medicine and Imaging 658
- Hardware and Architecture 171
Countries citing papers authored by Jacqueline Chen
This map shows the geographic impact of Jacqueline Chen'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 Jacqueline Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline Chen more than expected).
Fields of papers citing papers by Jacqueline Chen
This network shows the impact of papers produced by Jacqueline Chen. 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 Jacqueline Chen. The network helps show where Jacqueline Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacqueline Chen, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 15 | |
| 15 | 2018 | 102 | |
| 16 | 2015 | 18 | |
| 17 | 2014 | 42 | |
| 18 | 2013 | 131 | |
| 19 | Using bitmap index for interactive exploration of large datasets | 2003 | 1 |
| 20 | 2001 | 157 |
About Jacqueline Chen
Jacqueline Chen is a scholar working on Information Systems and Management, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Neurology and Neurology, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (10 papers), Scientific Computing and Data Management (6 papers), Distributed and Parallel Computing Systems (6 papers), Multiple Sclerosis Research Studies (4 papers), Neurological disorders and treatments (4 papers), Physical Activity and Health (4 papers), Mobile Health and mHealth Applications (4 papers) and Obesity, Physical Activity, Diet (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (877 citations), Neurology (271 citations), Neurology (448 citations), Radiology, Nuclear Medicine and Imaging (658 citations) and Hardware and Architecture (171 citations). Jacqueline Chen has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Nicola De Stefano, Mark Jenkinson, Paul M. Matthews, Yongyue Zhang, Antonio Federico, Stephen M. Smith, Hemanth Kolla, Scott Klasky, Manish Parashar and Douglas L. Arnold. Their work appears in journals such as Journal of Visualized Experiments, Scientific Reports, Acta Neuropathologica Communications, IEEE Transactions on Visualization and Computer Graphics and American Journal of Preventive Medicine.
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.