Ellen Schulten
Impact in
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
- Web Data Mining and Analysis
- Management Information Systems top 10%
- Business Process Modeling and Analysis
Papers in
-
- Semantic Web and Ontologies 5
- Text and Document Classification Technologies 2
- Natural Language Processing Techniques 1
-
- Web Data Mining and Analysis 4
- Co-authors
- Dieter Fensel (5 shared papers)Borys Omelayenko (4 shared papers)Ying Ding (3 shared papers)M. Brown (1 shared paper)Ee‐Peng Lim (1 shared paper)Wee Keong Ng (1 shared paper)Nicola Guarino (3 shared papers)Michel Klein (3 shared papers)
- Journals
- IEEE Intelligent Systems (3 papers)Mineralogy and Petrology (1 paper)Data Archiving and Networked Services (DANS) (1 paper)The Florida AI Research Society (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)
- Partner nations
- NetherlandsSouth AfricaUnited States
In The Last Decade
Ellen Schulten
10 papers receiving 204 citations
Peers
Comparison fields: 5 of 43
- Information Systems 161
- Management Information Systems 52
- Artificial Intelligence 170
- Computer Networks and Communications 65
- Management Science and Operations Research 22
Countries citing papers authored by Ellen Schulten
This map shows the geographic impact of Ellen Schulten'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 Ellen Schulten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Schulten more than expected).
Fields of papers citing papers by Ellen Schulten
This network shows the impact of papers produced by Ellen Schulten. 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 Ellen Schulten. The network helps show where Ellen Schulten may publish in the future.
Co-authors
The 19 scholars most cited alongside Ellen Schulten, 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 | 108 | |
| 2 | 2001 | 54 | |
| 3 | 2001 | 29 | |
| 4 | GoldenBullet: Automated Classification of Product Data in E-commerce | 2002 | 22 |
| 5 | 2018 | 14 | |
| 6 | 2002 | 9 | |
| 7 | State of the Art in Content Standards | 2001 | 4 |
| 8 | GoldenBullet in a Nutshell | 2002 | 3 |
| 9 | 2018 | 1 | |
| 10 | Design Approaches in Training and Education: Insights from Practice. | 1997 | 1 |
About Ellen Schulten
Ellen Schulten is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Signal Processing, having authored 10 papers that have together received 245 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Web Data Mining and Analysis (4 papers), Advanced Database Systems and Queries (3 papers), Text and Document Classification Technologies (2 papers), Data Management and Algorithms (1 paper), Biomedical Text Mining and Ontologies (1 paper), Natural Language Processing Techniques (1 paper) and Collaborative Teaching and Inclusion (1 paper). The work is most often cited by research in Information Systems (161 citations), Management Information Systems (52 citations), Artificial Intelligence (170 citations), Computer Networks and Communications (65 citations) and Management Science and Operations Research (22 citations). Ellen Schulten has collaborated with scholars based in Netherlands, South Africa and United States. Frequent co-authors include Dieter Fensel, Borys Omelayenko, Ying Ding, M. Brown, Ee‐Peng Lim, Wee Keong Ng, Nicola Guarino, Michel Klein, Norman Sadeh and Hans Akkermans. Their work appears in journals such as IEEE Intelligent Systems, Mineralogy and Petrology, Data Archiving and Networked Services (DANS), The Florida AI Research Society and Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
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.