Alan Patterson
Impact in
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- Data Quality and Management
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
- Topic Modeling
Papers in
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- Semantic Web and Ontologies 2
- Advanced Graph Neural Networks 1
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- Data Quality and Management 2
- Co-authors
- Yuqing Gao (2 shared papers)Natasha Noy (2 shared papers)Jamie Taylor (2 shared papers)Anshu Jain (2 shared papers)Mark Strand (1 shared paper)Laura Palombi (1 shared paper)Douglas Taren (1 shared paper)
- Journals
- Queue (1 paper)Communications of the ACM (1 paper)Research in Social and Administrative Pharmacy (1 paper)CERN Bulletin (1 paper)PubMed (1 paper)
- Partner nations
- United StatesIsraelIreland
In The Last Decade
Alan Patterson
6 papers receiving 302 citations
Peers
Comparison fields: 5 of 79
- Management Science and Operations Research 85
- Artificial Intelligence 216
- Geriatrics and Gerontology 14
- Applied Microbiology and Biotechnology 7
- Information Systems 50
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 7 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 | 172 | |
| 2 | 2019 | 111 | |
| 3 | 2015 | 24 | |
| 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 Artificial Intelligence, Management Science and Operations Research, General Health Professions, Information Systems and Geriatrics and Gerontology, having authored 6 papers that have together received 319 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (2 papers), Data Quality and Management (2 papers), Health Policy Implementation Science (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper), Health Sciences Research and Education (1 paper), Advanced Graph Neural Networks (1 paper), Global Public Health Policies and Epidemiology (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Management Science and Operations Research (85 citations), Artificial Intelligence (216 citations), Geriatrics and Gerontology (14 citations), Applied Microbiology and Biotechnology (7 citations) and Information Systems (50 citations). Alan Patterson has collaborated with scholars based in United States, Israel and Ireland. Frequent co-authors include Yuqing Gao, Natasha Noy, Jamie Taylor, Anshu Jain, Mark Strand, Laura Palombi and Douglas Taren. Their work appears in journals such as Queue, Communications of the ACM, Research in Social and Administrative Pharmacy, CERN Bulletin 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.