Stephen G. Eick

3.2k citations
75 papers · 2.1k indexed · h-index 25

Stephen G. Eick

71 papers receiving 1.9k citations

Peers

Stephen G. Eick
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 921
  • Management Information Systems 286
  • Software 121
  • Statistics and Probability 203
  • Signal Processing 253
Replace Benjamin W. Wah with:
Benjamin W. Wah United States
Gary Kochenberger United States
Mark Last Israel
Daniel Golovin United States
K. Selçuk Candan United States
Aaron Roth United States
Kam‐Fai Wong Hong Kong
Vijay V. Raghavan United States
Murat Kantarcıoğlu United States
Marc Najork United States
Stephen G. Eick relative to Benjamin W. Wah United States Benjamin W. Wah's profile →
Citations per field
00.5×4.7×
Benjamin W. Wah · 1×
Citations per year

Countries citing papers authored by Stephen G. Eick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Stephen G. Eick Line = papers co-authored together Stephen G. Eick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20061
2 200511
3 20027
4 200132
5 200024
6 19991
7 19981
8 19978
9 199775
10 1995129
11 1995262
12 199550
13 199445
14 199428
15 199377
16 199341
17 199211
18 19916
19 198821
20 198811

About Stephen G. Eick

Stephen G. Eick is a scholar working on Computer Vision and Pattern Recognition, Software, Signal Processing, Human-Computer Interaction and Computer Networks and Communications, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (41 papers), Video Analysis and Summarization (11 papers), Multimedia Communication and Technology (10 papers), Software Engineering Research (8 papers), Complex Network Analysis Techniques (7 papers), Advanced Text Analysis Techniques (7 papers), Data Management and Algorithms (6 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (921 citations), Management Information Systems (286 citations), Software (121 citations), Statistics and Probability (203 citations) and Signal Processing (253 citations). Stephen G. Eick has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include William A. Massey, Ward Whitt, Richard A. Becker, Allan R. Wilks, Graham Wills, Nahum Gershon, Donald A. Berry, Kenneth C. Cox, Mei C. Chuah and Stuart Card. Their work appears in journals such as IEEE Computer Graphics and Applications, Journal of Computational and Graphical Statistics, IEEE Transactions on Visualization and Computer Graphics, Information Visualization 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026