Stephan Greene
Impact in
- Artificial Intelligence top 10%
- Advanced Text Analysis Techniques
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
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- Data Visualization and Analytics 3
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- Advanced Database Systems and Queries 2
- Co-authors
- Philip Resnik (1 shared paper)Ben Shneiderman (3 shared papers)Catherine Plaisant (4 shared papers)Gary Marchionini (2 shared papers)Egemen Tanin (1 shared paper)Anne C. Rose (1 shared paper)Jason Ellis (1 shared paper)
- Journals
- International Journal on Digital Libraries (2 papers)Journal of the American Society for Information Science (2 papers)Digital Repository at the University of Maryland (University of Maryland College Park) (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Stephan Greene
5 papers receiving 250 citations
Peers
Comparison fields: 5 of 47
- Medical Terminology 2
- Artificial Intelligence 148
- Conservation 14
- Library and Information Sciences 6
- General Social Sciences 13
Countries citing papers authored by Stephan Greene
This map shows the geographic impact of Stephan Greene'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 Stephan Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Greene more than expected).
Fields of papers citing papers by Stephan Greene
This network shows the impact of papers produced by Stephan Greene. 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 Stephan Greene. The network helps show where Stephan Greene may publish in the future.
Co-authors
The 7 scholars most cited alongside Stephan Greene, 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 | 102 | |
| 2 | 2000 | 91 | |
| 3 | 2000 | 57 | |
| 4 | 1999 | 24 | |
| 5 | 1997 | 2 | |
| 6 | Life cycle of user interface techniques: The DJJ information system design Process | 1998 | 0 |
About Stephan Greene
Stephan Greene is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 6 papers that have together received 276 indexed citations. Recurring topics across this work include Data Visualization and Analytics (3 papers), Data Management and Algorithms (2 papers), Usability and User Interface Design (2 papers), Advanced Database Systems and Queries (2 papers), Advanced Text Analysis Techniques (1 paper), Semantic Web and Ontologies (1 paper), Personal Information Management and User Behavior (1 paper) and Persona Design and Applications (1 paper). The work is most often cited by research in Medical Terminology (2 citations), Artificial Intelligence (148 citations), Conservation (14 citations), Library and Information Sciences (6 citations) and General Social Sciences (13 citations). Stephan Greene has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Philip Resnik, Ben Shneiderman, Catherine Plaisant, Gary Marchionini, Egemen Tanin, Anne C. Rose and Jason Ellis. Their work appears in journals such as International Journal on Digital Libraries, Journal of the American Society for Information Science and Digital Repository at the University of Maryland (University of Maryland College Park).
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.