Robert Stevens
Impact in
-
- Scientific Computing and Data Management
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
Papers in
-
- Biomedical Text Mining and Ontologies 4
- Bioinformatics and Genomic Networks 3
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Semantic Web and Ontologies 3
- Co-authors
- Andy Brass (2 shared papers)Carole Goble (3 shared papers)Phillip Lord (2 shared papers)Sean Bechhofer (2 shared papers)Norman W. Paton (2 shared papers)Paul Baker (1 shared paper)Anil Wipat (1 shared paper)Claire Jennings (1 shared paper)
- Journals
- Briefings in Bioinformatics (1 paper)Bioinformatics (1 paper)PubMed (2 papers)Research Explorer (The University of Manchester) (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Robert Stevens
7 papers receiving 512 citations
Peers
Comparison fields: 5 of 71
- Information Systems and Management 57
- Artificial Intelligence 238
- Molecular Biology 393
- Information Systems 74
- Computational Theory and Mathematics 41
Countries citing papers authored by Robert Stevens
This map shows the geographic impact of Robert Stevens'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 Robert Stevens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Stevens more than expected).
Fields of papers citing papers by Robert Stevens
This network shows the impact of papers produced by Robert Stevens. 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 Robert Stevens. The network helps show where Robert Stevens may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Stevens, 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 | 2000 | 230 | |
| 2 | 2002 | 154 | |
| 3 | 1999 | 148 | |
| 4 | Performing in silico experiments on the Grid: a users perspective. | 2003 | 11 |
| 5 | 2004 | 8 | |
| 6 | Proteome Data Integration: Characteristics and Challenges | 2005 | 4 |
| 7 | 2013 | 1 |
About Robert Stevens
Robert Stevens is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Information Systems and Management and Spectroscopy, having authored 7 papers that have together received 556 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers), Semantic Web and Ontologies (3 papers), Scientific Computing and Data Management (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Advanced Database Systems and Queries (1 paper), Distributed and Parallel Computing Systems (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Information Systems and Management (57 citations), Artificial Intelligence (238 citations), Molecular Biology (393 citations), Information Systems (74 citations) and Computational Theory and Mathematics (41 citations). Robert Stevens has collaborated with scholars based in United Kingdom. Frequent co-authors include Andy Brass, Carole Goble, Phillip Lord, Sean Bechhofer, Norman W. Paton, Paul Baker, Anil Wipat, Claire Jennings, Simon H. S. Pearce and Christine Greenhalgh. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, PubMed and Research Explorer (The University of Manchester).
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.