S.G. Eick
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 1%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 8
- Service-Oriented Architecture and Web Services 1
- Software 4
- Software Reliability and Analysis Research 4
- Software Testing and Debugging Techniques 3
- Co-authors
- T. Ball (2 shared papers)Todd Graves (4 shared papers)Audris Mockus (4 shared papers)Alan F. Karr (4 shared papers)James Stephen Marron (1 shared paper)Mei C. Chuah (1 shared paper)
- Journals
- Computer (2 papers)IEEE Transactions on Software Engineering (2 papers)IEEE Computer Graphics and Applications (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
S.G. Eick
11 papers receiving 824 citations
Peers
Comparison fields: 5 of 55
- Software 337
- Information Systems 748
- Computer Science Applications 137
- Artificial Intelligence 346
- Computer Networks and Communications 234
Countries citing papers authored by S.G. Eick
This map shows the geographic impact of S.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 S.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 S.G. Eick more than expected).
Fields of papers citing papers by S.G. Eick
This network shows the impact of papers produced by S.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 S.G. Eick. The network helps show where S.G. Eick may publish in the future.
Co-authors
The 6 scholars most cited alongside S.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
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 486 | |
| 2 | 1996 | 265 | |
| 3 | 2002 | 87 | |
| 4 | 2002 | 33 | |
| 5 | 2002 | 12 | |
| 6 | 2005 | 7 | |
| 7 | 2002 | 5 | |
| 8 | 1998 | 4 | |
| 9 | 2003 | 4 | |
| 10 | Web-based text visualization | 1998 | 4 |
| 11 | Modeling software changes | 1998 | 1 |
About S.G. Eick
S.G. Eick is a scholar working on Information Systems, Software, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems and Management, having authored 11 papers that have together received 908 indexed citations. Recurring topics across this work include Software Engineering Research (8 papers), Data Visualization and Analytics (5 papers), Software Reliability and Analysis Research (4 papers), Software System Performance and Reliability (3 papers), Software Testing and Debugging Techniques (3 papers), Advanced Software Engineering Methodologies (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Software (337 citations), Information Systems (748 citations), Computer Science Applications (137 citations), Artificial Intelligence (346 citations) and Computer Networks and Communications (234 citations). S.G. Eick has collaborated with scholars based in United States and Germany. Frequent co-authors include T. Ball, Todd Graves, Audris Mockus, Alan F. Karr, James Stephen Marron and Mei C. Chuah. Their work appears in journals such as Computer, IEEE Transactions on Software Engineering and IEEE Computer Graphics and Applications.
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.