Stephen Rudolph
Impact in
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- Data Visualization and Analytics
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- Geographic Information Systems Studies
Papers in
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- Data-Driven Disease Surveillance 6
- Influenza Virus Research Studies 1
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- Data Visualization and Analytics 3
- Co-authors
- David S. Ebert (7 shared papers)Ross Maciejewski (6 shared papers)Ryan Hafen (4 shared papers)William S. Cleveland (4 shared papers)Shaun J. Grannis (3 shared papers)Mourad Ouzzani (2 shared papers)Mostafa Yakout (1 shared paper)Margaret Mitchell (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)IEEE Computer Graphics and Applications (1 paper)Journal of Visual Languages & Computing (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen Rudolph
7 papers receiving 282 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 177
- Geography, Planning and Development 38
- Transportation 41
- Signal Processing 59
- Ecological Modeling 22
Countries citing papers authored by Stephen Rudolph
This map shows the geographic impact of Stephen Rudolph'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 Stephen Rudolph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Rudolph more than expected).
Fields of papers citing papers by Stephen Rudolph
This network shows the impact of papers produced by Stephen Rudolph. 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 Stephen Rudolph. The network helps show where Stephen Rudolph may publish in the future.
Co-authors
The 15 scholars most cited alongside Stephen Rudolph, 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 | 2009 | 111 | |
| 2 | 2010 | 58 | |
| 3 | 2011 | 50 | |
| 4 | 2009 | 40 | |
| 5 | 2008 | 19 | |
| 6 | 2009 | 16 | |
| 7 | 2010 | 4 | |
| 8 | 2020 | 0 |
About Stephen Rudolph
Stephen Rudolph is a scholar working on Epidemiology, Computer Vision and Pattern Recognition, Artificial Intelligence, Ecological Modeling and Modeling and Simulation, having authored 8 papers that have together received 298 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (6 papers), Data Visualization and Analytics (3 papers), Anomaly Detection Techniques and Applications (2 papers), Species Distribution and Climate Change (2 papers), COVID-19 epidemiological studies (2 papers), Housing Market and Economics (1 paper), Influenza Virus Research Studies (1 paper) and Geographic Information Systems Studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (177 citations), Geography, Planning and Development (38 citations), Transportation (41 citations), Signal Processing (59 citations) and Ecological Modeling (22 citations). Stephen Rudolph has collaborated with scholars based in United States. Frequent co-authors include David S. Ebert, Ross Maciejewski, Ryan Hafen, William S. Cleveland, Shaun J. Grannis, Mourad Ouzzani, Mostafa Yakout, Margaret Mitchell, Courtney D. Corley and Michael Wade. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Journal of Visual Languages & Computing and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.