Alan Patterson
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Topic Modeling
- Information Systems top 10%
- Information Retrieval and Search Behavior
Papers in
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- Pharmacy and Medical Practices 1
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- Semantic Web and Ontologies 2
- Co-authors
- Natasha F. Noy (2 shared papers)Anshu N. Jain (2 shared papers)Jamie Taylor (2 shared papers)Yuqing Gao (2 shared papers)Mark A. Strand (1 shared paper)Laura C. Palombi (1 shared paper)É. Eschwège (1 shared paper)DOUGLAS L. TAREN (1 shared paper)
- Journals
- Research in Social and Administrative Pharmacy (1 paper)Communications of the ACM (1 paper)Queue (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)PubMed (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Alan Patterson
6 papers receiving 407 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 307
- Information Systems 53
- Pharmacology 18
- Industrial and Manufacturing Engineering 16
- Geography, Planning and Development 11
Countries citing papers authored by Alan Patterson
This map shows the geographic impact of Alan Patterson'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 Alan Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Patterson more than expected).
Fields of papers citing papers by Alan Patterson
This network shows the impact of papers produced by Alan Patterson. 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 Alan Patterson. The network helps show where Alan Patterson may publish in the future.
Co-authors
The 9 scholars most cited alongside Alan Patterson, 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 | 2019 | 242 | |
| 2 | 2019 | 162 | |
| 3 | 2015 | 26 | |
| 4 | Diabetes mellitus and public health in Guadeloupe. | 1990 | 8 |
| 5 | KAP study of secondary school students towards obesity in Jamaica | 1994 | 2 |
| 6 | Leader Evolution: From Technical Expertise to Strategic Leadership | 2014 | 2 |
About Alan Patterson
Alan Patterson is a scholar working on Pharmacology, Artificial Intelligence, Endocrinology, Diabetes and Metabolism, Strategy and Management and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 442 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Obesity, Physical Activity, Diet (1 paper), Leadership and Management in Organizations (1 paper) and Pharmacy and Medical Practices (1 paper). The work is most often cited by research in Artificial Intelligence (307 citations), Information Systems (53 citations), Pharmacology (18 citations), Industrial and Manufacturing Engineering (16 citations) and Geography, Planning and Development (11 citations). Alan Patterson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Natasha F. Noy, Anshu N. Jain, Jamie Taylor, Yuqing Gao, Mark A. Strand, Laura C. Palombi, É. Eschwège, DOUGLAS L. TAREN and P. Kangambega. Their work appears in journals such as Research in Social and Administrative Pharmacy, Communications of the ACM, Queue, CERN Document Server (European Organization for Nuclear Research) and PubMed.
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.