Jerome Robinson
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
-
- Data Management and Algorithms 3
- Video Coding and Compression Technologies 3
-
- Advanced Database Systems and Queries 5
- Co-authors
- Gary G. Clark (1 shared paper)Duane J. Gubler (1 shared paper)Michel L. Bunning (1 shared paper)Brad J. Biggerstaff (1 shared paper)Stephen H. Waterman (1 shared paper)Julie Rawlings (1 shared paper)Edward B. Hayes (1 shared paper)Paul L. Reiter (1 shared paper)
- Journals
- Electronics Letters (2 papers)Emerging infectious diseases (1 paper)Computer Communications (1 paper)i-Perception (1 paper)
- Partner nations
- United KingdomCanadaMexico
In The Last Decade
Jerome Robinson
8 papers receiving 276 citations
Peers
Comparison fields: 5 of 43
- Modeling and Simulation 67
- Infectious Diseases 177
- Public Health, Environmental and Occupational Health 263
- Ecological Modeling 11
- Health, Toxicology and Mutagenesis 19
Countries citing papers authored by Jerome Robinson
This map shows the geographic impact of Jerome Robinson'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 Jerome Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerome Robinson more than expected).
Fields of papers citing papers by Jerome Robinson
This network shows the impact of papers produced by Jerome Robinson. 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 Jerome Robinson. The network helps show where Jerome Robinson may publish in the future.
Co-authors
The 16 scholars most cited alongside Jerome Robinson, 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 | 2003 | 285 | |
| 2 | 2002 | 4 | |
| 3 | Data Extraction from Web Database Query Result Pages via Tagsets and Integer Sequences. | 2003 | 2 |
| 4 | 2004 | 2 | |
| 5 | 1983 | 2 | |
| 6 | Distributing the Derivation and Maintenance of Subset Descriptor Rules | 2001 | 1 |
| 7 | Semantic Query Optimisation and Rule Graphs. | 1998 | 1 |
| 8 | 1983 | 1 | |
| 9 | 1995 | 1 | |
| 10 | 2002 | 0 |
About Jerome Robinson
Jerome Robinson is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 10 papers that have together received 299 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Data Management and Algorithms (3 papers), Semantic Web and Ontologies (3 papers), Video Coding and Compression Technologies (3 papers), Advanced Image Processing Techniques (2 papers), Advanced Data Compression Techniques (2 papers), Web Data Mining and Analysis (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Modeling and Simulation (67 citations), Infectious Diseases (177 citations), Public Health, Environmental and Occupational Health (263 citations), Ecological Modeling (11 citations) and Health, Toxicology and Mutagenesis (19 citations). Jerome Robinson has collaborated with scholars based in United Kingdom, Canada and Mexico. Frequent co-authors include Gary G. Clark, Duane J. Gubler, Michel L. Bunning, Brad J. Biggerstaff, Stephen H. Waterman, Julie Rawlings, Edward B. Hayes, Paul L. Reiter, Daniel Singer and Bernardo Ramirez. Their work appears in journals such as Electronics Letters, Emerging infectious diseases, Computer Communications and i-Perception.
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.