Lee M. Christensen
- Artificial Intelligence top 5%
- Molecular Biology
- Epidemiology
- Health Information Management top 2%
- General Health Professions
- Co-authors
- Peter J. HaugWendy W. ChapmanMarcelo FiszmanBrett R. SouthHanna SuominenDavid MartínezSameer PradhanNoémie Elhadad
- Topics
- Biomedical Text Mining and Ontologies (11 papers)Topic Modeling (10 papers)Natural Language Processing Techniques (6 papers)
- Journals
- Journal of the American Medical Informatics AssociationBMC Health Services ResearchJournal of Biomedical Informatics
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Lee M. Christensen
18 papers receiving 530 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 377
- Molecular Biology 324
- Epidemiology 96
- Health Information Management 83
- General Health Professions 59
Countries citing papers authored by Lee M. Christensen
This map shows the geographic impact of Lee M. Christensen'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 Lee M. Christensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee M. Christensen more than expected).
Fields of papers citing papers by Lee M. Christensen
This network shows the impact of papers produced by Lee M. Christensen. 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 Lee M. Christensen. The network helps show where Lee M. Christensen may publish in the future.
Co-authorship network of co-authors of Lee M. Christensen
This figure shows the co-authorship network connecting the top 25 collaborators of Lee M. Christensen. A scholar is included among the top collaborators of Lee M. Christensen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lee M. Christensen. Lee M. Christensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 27 | |
| 4 | 8 | |
| 5 | 47 | |
| 6 | Annotating Social Determinants of Health and Functional Status Information Using Publicly Accessible Corpora. | 1 |
| 7 | 19 | |
| 8 | Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes. | 4 |
| 9 | 19 | |
| 10 | 105 | |
| 11 | 51 | |
| 12 | Task 1: ShARe/CLEF eHealth evaluation lab 2013 | 27 |
| 13 | Methodology to develop and evaluate a semantic representation for NLP. | 9 |
| 14 | 14 | |
| 15 | 10 | |
| 16 | 108 | |
| 17 | 69 | |
| 18 | A natural language parsing system for encoding admitting diagnoses. | 42 |
About Lee M. Christensen
Lee M. Christensen is a scholar working on Issues, ethics and legal aspects, Artificial Intelligence and General Social Sciences, having authored 18 papers that have together received 564 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Health Information Management (83 citations), Health Informatics (24 citations) and Artificial Intelligence (377 citations). Lee M. Christensen has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Peter J. Haug, Wendy W. Chapman, Marcelo Fiszman, Brett R. South, Hanna Suominen, David Martínez, Sameer Pradhan, Noémie Elhadad, Robert Olszewski and О. А. Иванов. Their work appears in journals such as Journal of the American Medical Informatics Association, BMC Health Services Research and Journal of Biomedical Informatics.
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.