Stephen G. Eick
Impact in
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- Data Visualization and Analytics
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- Advanced Queuing Theory Analysis
Papers in
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- Data Visualization and Analytics 55
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- Software Engineering Research 5
- Co-authors
- Allan R. Wilks (5 shared papers)William A. Massey (2 shared papers)Ward Whitt (2 shared papers)Graham J. Wills (4 shared papers)Nahum D. Gershon (7 shared papers)Donald A. Berry (1 shared paper)Kenneth C. Cox (4 shared papers)Mei C. Chuah (2 shared papers)
- Journals
- IEEE Computer Graphics and Applications (5 papers)Information Visualization (2 papers)Journal of Computational and Graphical Statistics (2 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Communications of the ACM (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Stephen G. Eick
68 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 1.1k
- Management Information Systems 257
- Information Systems 364
- Software 70
- Statistics and Probability 159
Countries citing papers authored by Stephen G. Eick
This map shows the geographic impact of Stephen G. Eick'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 G. Eick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen G. Eick more than expected).
Fields of papers citing papers by Stephen G. Eick
This network shows the impact of papers produced by Stephen G. Eick. 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 G. Eick. The network helps show where Stephen G. Eick may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen G. Eick, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 316 | |
| 2 | 1993 | 187 | |
| 3 | 1995 | 141 | |
| 4 | 1993 | 136 | |
| 5 | 1992 | 127 | |
| 6 | 1993 | 93 | |
| 7 | 1997 | 90 | |
| 8 | 1998 | 88 | |
| 9 | 1994 | 85 | |
| 10 | 2002 | 66 | |
| 11 | 1995 | 65 | |
| 12 | 1996 | 65 | |
| 13 | 1998 | 61 | |
| 14 | 1995 | 58 | |
| 15 | 1994 | 53 | |
| 16 | 1997 | 50 | |
| 17 | 2000 | 50 | |
| 18 | 1993 | 43 | |
| 19 | 1995 | 38 | |
| 20 | 2001 | 38 |
About Stephen G. Eick
Stephen G. Eick is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Management Information Systems, Software and Management Science and Operations Research, having authored 74 papers that have together received 2.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (55 papers), Software Engineering Research (5 papers), Advanced Queuing Theory Analysis (2 papers), Advanced Bandit Algorithms Research (2 papers), Geographic Information Systems Studies (2 papers), Privacy-Preserving Technologies in Data (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Management Information Systems (257 citations), Information Systems (364 citations), Software (70 citations) and Statistics and Probability (159 citations). Stephen G. Eick has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Allan R. Wilks, William A. Massey, Ward Whitt, Graham J. Wills, Nahum D. Gershon, Donald A. Berry, Kenneth C. Cox, Mei C. Chuah, Alan F. Karr and Stuart K. Card. Their work appears in journals such as IEEE Computer Graphics and Applications, Information Visualization, Journal of Computational and Graphical Statistics, IEEE Transactions on Visualization and Computer Graphics and Communications of the ACM.
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.