Todd Lingren
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.5%
- Electronic Health Records Systems
Papers in
-
- Electronic Health Records Systems 3
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- Topic Modeling 3
- Natural Language Processing Techniques 2
- Co-authors
- Imre Solti (19 shared papers)Megan Kaiser (13 shared papers)Qi Li (10 shared papers)Haijun Zhai (12 shared papers)Yizhao Ni (11 shared papers)Louise Deléger (11 shared papers)Laura Stoutenborough (10 shared papers)John B. Harley (5 shared papers)
- Journals
- Journal of the American Medical Informatics Association (9 papers)BMC Medical Informatics and Decision Making (3 papers)Journal of Medical Internet Research (2 papers)Journal of Biomedical Informatics (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- United StatesHong Kong
In The Last Decade
Todd Lingren
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Health Informatics 44
- Health Information Management 143
- Toxicology 35
- Artificial Intelligence 283
- Geriatrics and Gerontology 26
Countries citing papers authored by Todd Lingren
This map shows the geographic impact of Todd Lingren'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 Todd Lingren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Lingren more than expected).
Fields of papers citing papers by Todd Lingren
This network shows the impact of papers produced by Todd Lingren. 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 Todd Lingren. The network helps show where Todd Lingren may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Lingren, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 245 | |
| 2 | 2015 | 90 | |
| 3 | 2017 | 87 | |
| 4 | 2014 | 78 | |
| 5 | 2014 | 66 | |
| 6 | 2014 | 65 | |
| 7 | 2012 | 60 | |
| 8 | 2013 | 59 | |
| 9 | Building gold standard corpora for medical natural language processing tasks. | 2012 | 55 |
| 10 | 2013 | 52 | |
| 11 | 2014 | 43 | |
| 12 | 2013 | 39 | |
| 13 | 2013 | 38 | |
| 14 | 2020 | 31 | |
| 15 | 2015 | 28 | |
| 16 | 2015 | 27 | |
| 17 | 2013 | 26 | |
| 18 | 2017 | 25 | |
| 19 | 2014 | 23 | |
| 20 | 2012 | 18 |
About Todd Lingren
Todd Lingren is a scholar working on Health Information Management, Artificial Intelligence, Molecular Biology, Epidemiology and Emergency Medical Services, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Electronic Health Records Systems (3 papers), Patient Safety and Medication Errors (2 papers), Biomedical Text Mining and Ontologies (2 papers), Natural Language Processing Techniques (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Obesity, Physical Activity, Diet (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Health Informatics (44 citations), Health Information Management (143 citations), Toxicology (35 citations), Artificial Intelligence (283 citations) and Geriatrics and Gerontology (26 citations). Todd Lingren has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Imre Solti, Megan Kaiser, Qi Li, Haijun Zhai, Yizhao Ni, Louise Deléger, Laura Stoutenborough, John B. Harley, Eric S. Kirkendall and Keith Marsolo. Their work appears in journals such as Journal of the American Medical Informatics Association, BMC Medical Informatics and Decision Making, Journal of Medical Internet Research, Journal of Biomedical Informatics and Frontiers in Genetics.
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.