Eli T. Brown
-
- Data Visualization and Analytics 8
- Human-Computer Interaction top 10%
- Signal Processing top 10%
- Data Management and Algorithms 3
- Time Series Analysis and Forecasting 2
- Artificial Intelligence top 10%
- Data Analysis with R 3
- Topic Modeling 2
- Advanced Text Analysis Techniques 2
-
- Radiology practices and education 4
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Remco ChangAlex EndertCarla E. BrodleyJingjing LiuBahador SaketHannah KimEvan M. PeckRichard Souvenir
- Cited by
- Computer Vision and Pattern RecognitionInformation Systems and ManagementHuman-Computer Interaction
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Journal of Digital Imaging (1 paper)eCommons (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Eli T. Brown
18 papers receiving 499 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 329
- Information Systems and Management 67
- Human-Computer Interaction 41
- Signal Processing 71
- Artificial Intelligence 174
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-authorship network
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 | 2024 | 1 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 6 | |
| 5 | 2020 | 3 | |
| 6 | 2019 | 2 | |
| 7 | 2018 | 9 | |
| 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 | 2017 | 62 | |
| 12 | 2016 | 55 | |
| 13 | The activity platform | 2015 | 1 |
| 14 | 2014 | 89 | |
| 15 | 2014 | 104 | |
| 16 | 2012 | 137 | |
| 17 | 2011 | 4 | |
| 18 | Digital Research Data Curation: Overview of Issues, Current Activities, and Opportunities for the Cornell University Library | 2008 | 19 |
About Eli T. Brown
Eli T. Brown is a scholar working on Computational Mathematics, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Management and Conservation, having authored 18 papers that have together received 518 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), Radiomics and Machine Learning in Medical Imaging (2 papers), Topic Modeling (2 papers), Time Series Analysis and Forecasting (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (329 citations), Information Systems and Management (67 citations), Human-Computer Interaction (41 citations), Signal Processing (71 citations) and Artificial Intelligence (174 citations). Eli T. Brown has collaborated with scholars based in United States. Frequent co-authors include Remco Chang, Alex Endert, Carla E. Brodley, Jingjing Liu, Bahador Saket, Hannah Kim, Evan M. Peck, Richard Souvenir, Daniel Afergan and Erin Solovey. 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.