Eli T. Brown
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
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- Scientific Computing and Data Management
Papers in
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- Data Visualization and Analytics 8
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- Data Analysis with R 3
- Advanced Text Analysis Techniques 2
- Topic Modeling 2
- Co-authors
- Remco Chang (5 shared papers)Alex Endert (4 shared papers)Jingjing Liu (1 shared paper)Carla E. Brodley (1 shared paper)Erin Solovey (1 shared paper)Daniel Afergan (1 shared paper)Andrew Jenkins (1 shared paper)Robert J.K Jacob (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Journal of Digital Imaging (1 paper)eCommons (Cornell University) (1 paper)Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- United States
In The Last Decade
Eli T. Brown
18 papers receiving 548 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 345
- Information Systems and Management 68
- Human-Computer Interaction 46
- Signal Processing 75
- Artificial Intelligence 192
Countries citing papers authored by Eli T. Brown
This map shows the geographic impact of Eli T. Brown'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 Eli T. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli T. Brown more than expected).
Fields of papers citing papers by Eli T. Brown
This network shows the impact of papers produced by Eli T. Brown. 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 Eli T. Brown. The network helps show where Eli T. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli T. Brown, 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 | 2012 | 146 | |
| 2 | 2014 | 124 | |
| 3 | 2014 | 99 | |
| 4 | 2017 | 65 | |
| 5 | 2016 | 59 | |
| 6 | Digital Research Data Curation: Overview of Issues, Current Activities, and Opportunities for the Cornell University Library | 2008 | 20 |
| 7 | 2018 | 10 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 7 | |
| 10 | An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files | 2017 | 6 |
| 11 | 2020 | 6 | |
| 12 | 2020 | 4 | |
| 13 | 2011 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2021 | 2 | |
| 18 | The activity platform | 2015 | 1 |
About Eli T. Brown
Eli T. Brown is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 18 papers that have together received 570 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Radiology practices and education (4 papers), Data Analysis with R (3 papers), Data Management and Algorithms (3 papers), Data Mining Algorithms and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Text Analysis Techniques (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (345 citations), Information Systems and Management (68 citations), Human-Computer Interaction (46 citations), Signal Processing (75 citations) and Artificial Intelligence (192 citations). Eli T. Brown has collaborated with scholars based in United States. Frequent co-authors include Remco Chang, Alex Endert, Jingjing Liu, Carla E. Brodley, Erin Solovey, Daniel Afergan, Andrew Jenkins, Robert J.K Jacob, Evan M. Peck and Hannah Kim. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Digital Imaging, eCommons (Cornell University) and Knowledge Discovery and Data Mining.
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.