Chris Partridge
Impact in
- Management Information Systems top 10%
- Business Process Modeling and Analysis
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- Fungal and yeast genetics research
- Biochemical and Molecular Research
- Microbial Metabolic Engineering and Bioproduction
- Polyamine Metabolism and Applications
Papers in
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- Semantic Web and Ontologies 16
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- Service-Oriented Architecture and Web Services 8
- Co-authors
- Norman H. Giles (11 shared papers)Mary E. Case (3 shared papers)S. I. Ahmed (2 shared papers)Charles Yanofsky (2 shared papers)David M. Bonner (2 shared papers)Norma J. Nelson (1 shared paper)F.H. Ruddle (3 shared papers)V.A. McKusick (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Cytogenetic and Genome Research (3 papers)American Journal of Botany (2 papers)Genetics (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Chris Partridge
35 papers receiving 532 citations
Peers
Comparison fields: 5 of 108
- Management Information Systems 51
- Molecular Biology 322
- Biochemistry 28
- Genetics 98
- Artificial Intelligence 104
Countries citing papers authored by Chris Partridge
This map shows the geographic impact of Chris Partridge'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 Chris Partridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Partridge more than expected).
Fields of papers citing papers by Chris Partridge
This network shows the impact of papers produced by Chris Partridge. 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 Chris Partridge. The network helps show where Chris Partridge may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Partridge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1967 | 87 | |
| 2 | 1976 | 72 | |
| 3 | 1957 | 66 | |
| 4 | 1967 | 62 | |
| 5 | 1952 | 52 | |
| 6 | 1958 | 38 | |
| 7 | Business Objects: Re-engineering for Re-use | 1996 | 31 |
| 8 | 1975 | 23 | |
| 9 | 2020 | 22 | |
| 10 | 1952 | 20 | |
| 11 | 1953 | 17 | |
| 12 | 2005 | 17 | |
| 13 | The Role of Ontology in Integrating Semantically Heterogeneous Databases | 2002 | 15 |
| 14 | 1960 | 12 | |
| 15 | 2016 | 11 | |
| 16 | 1972 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2009 | 9 | |
| 19 | 1957 | 9 | |
| 20 | 1960 | 8 |
About Chris Partridge
Chris Partridge is a scholar working on Artificial Intelligence, Information Systems, Management Information Systems, Computer Networks and Communications and Molecular Biology, having authored 37 papers that have together received 638 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Service-Oriented Architecture and Web Services (8 papers), Business Process Modeling and Analysis (7 papers), Advanced Database Systems and Queries (6 papers), Microbial Metabolites in Food Biotechnology (3 papers), Data Management and Algorithms (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Management Information Systems (51 citations), Molecular Biology (322 citations), Biochemistry (28 citations), Genetics (98 citations) and Artificial Intelligence (104 citations). Chris Partridge has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Norman H. Giles, Mary E. Case, S. I. Ahmed, Charles Yanofsky, David M. Bonner, Norma J. Nelson, F.H. Ruddle, V.A. McKusick, Dow O. Woodward and Sergio de Cesare. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cytogenetic and Genome Research, American Journal of Botany, Genetics and Biochemical and Biophysical Research Communications.
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.