Patrick Harrington
Impact in
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 1
-
- Gene expression and cancer classification 1
- Pluripotent Stem Cells Research 1
- Bone Metabolism and Diseases 1
- Co-authors
- Lei Tang (2 shared papers)Lynn Kuo (3 shared papers)Tao Zhu (1 shared paper)Dong‐Guk Shin (2 shared papers)David W. Rowe (2 shared papers)Ivo Kalajzić (2 shared papers)Mark S. Kronenberg (1 shared paper)Tiziana Franceschetti (1 shared paper)
- Journals
- Bone (1 paper)Cataloging & Classification Quarterly (1 paper)IEEE Access (1 paper)Scientific Reports (1 paper)IDEALS (University of Illinois Urbana-Champaign) (1 paper)
- Partner nations
- United StatesChinaHungary
In The Last Decade
Patrick Harrington
8 papers receiving 340 citations
Peers
Comparison fields: 5 of 84
- Orthopedics and Sports Medicine 41
- Information Systems 80
- Rheumatology 44
- Molecular Biology 181
- Oncology 63
Countries citing papers authored by Patrick Harrington
This map shows the geographic impact of Patrick Harrington'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 Patrick Harrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Harrington more than expected).
Fields of papers citing papers by Patrick Harrington
This network shows the impact of papers produced by Patrick Harrington. 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 Patrick Harrington. The network helps show where Patrick Harrington may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Harrington, 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 | 2009 | 213 | |
| 2 | 2014 | 84 | |
| 3 | 2016 | 19 | |
| 4 | 2018 | 18 | |
| 5 | 2009 | 6 | |
| 6 | 2013 | 4 | |
| 7 | 2024 | 2 | |
| 8 | Aligning Author-Supplied Keywords for ETDs with Domain-Specific Controlled Vocabularies | 2017 | 1 |
| 9 | 2017 | 0 |
About Patrick Harrington
Patrick Harrington is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Marketing, having authored 9 papers that have together received 347 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Library Collection Development and Digital Resources (1 paper), Gene expression and cancer classification (1 paper), Pluripotent Stem Cells Research (1 paper), Bone and Dental Protein Studies (1 paper), Bone Metabolism and Diseases (1 paper) and Library Science and Information Systems (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (41 citations), Information Systems (80 citations), Rheumatology (44 citations), Molecular Biology (181 citations) and Oncology (63 citations). Patrick Harrington has collaborated with scholars based in United States, China and Hungary. Frequent co-authors include Lei Tang, Lynn Kuo, Tao Zhu, Dong‐Guk Shin, David W. Rowe, Ivo Kalajzić, Mark S. Kronenberg, Tiziana Franceschetti, Stephen E. Harris and John C. Igwe. Their work appears in journals such as Bone, Cataloging & Classification Quarterly, IEEE Access, Scientific Reports and IDEALS (University of Illinois Urbana-Champaign).
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.