Chris Bryan
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Human-Computer Interaction top 10%
Papers in
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- Data Visualization and Analytics 17
- Multimodal Machine Learning Applications 2
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- Data Analysis with R 3
- Advanced Text Analysis Techniques 3
- Natural Language Processing Techniques 2
- Co-authors
- Kwan‐Liu Ma (12 shared papers)Kwan-Liu Ma (2 shared papers)Jonathan Woodring (1 shared paper)Jennifer L. Freeman (4 shared papers)Chongli Yuan (4 shared papers)Oscar F. Sánchez (4 shared papers)Li Lin (4 shared papers)Senthil Chandrasegaran (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (12 papers)Computer Graphics Forum (3 papers)Environmental Pollution (2 papers)Visual Informatics (1 paper)IEEE Computer Graphics and Applications (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chris Bryan
37 papers receiving 564 citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 274
- Human-Computer Interaction 36
- Artificial Intelligence 162
- Information Systems and Management 31
- Health Informatics 5
Countries citing papers authored by Chris Bryan
This map shows the geographic impact of Chris Bryan'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 Chris Bryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Bryan more than expected).
Fields of papers citing papers by Chris Bryan
This network shows the impact of papers produced by Chris Bryan. 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 Chris Bryan. The network helps show where Chris Bryan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Bryan, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 78 | |
| 2 | 2019 | 49 | |
| 3 | 2018 | 45 | |
| 4 | 2019 | 38 | |
| 5 | 2021 | 35 | |
| 6 | 2018 | 32 | |
| 7 | 2022 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2018 | 26 | |
| 10 | 2020 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2022 | 15 | |
| 14 | 2015 | 14 | |
| 15 | A Systemic Approach to Elevating Teacher Leadership. | 2016 | 13 |
| 16 | 2020 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2010 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2018 | 8 |
About Chris Bryan
Chris Bryan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics and Human-Computer Interaction, having authored 41 papers that have together received 581 indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Complex Network Analysis Techniques (4 papers), Virtual Reality Applications and Impacts (3 papers), Data Analysis with R (3 papers), Advanced Text Analysis Techniques (3 papers), Multimedia Communication and Technology (2 papers), Natural Language Processing Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (274 citations), Human-Computer Interaction (36 citations), Artificial Intelligence (162 citations), Information Systems and Management (31 citations) and Health Informatics (5 citations). Chris Bryan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kwan‐Liu Ma, Kwan-Liu Ma, Jonathan Woodring, Jennifer L. Freeman, Chongli Yuan, Oscar F. Sánchez, Li Lin, Senthil Chandrasegaran, Jian Zhao and Bum Chul Kwon. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Environmental Pollution, Visual Informatics and IEEE Computer Graphics and Applications.
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.