Wendy W. Chapman
- Artificial Intelligence top 0.2%
- Molecular Biology top 2%
- Epidemiology top 2%
- Health Information Management top 0.05%
- General Health Professions top 2%
- Co-authors
- Lucila Ohno‐MachadoPrakash M. NadkarniJohn DowlingGregory F. CooperPaul HanburyWill BridewellBruce G. BuchananClement J. McDonald
- Topics
- Biomedical Text Mining and Ontologies (75 papers)Topic Modeling (54 papers)Natural Language Processing Techniques (33 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyAnnals of Surgery
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Wendy W. Chapman
161 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Artificial Intelligence 3.8k
- Molecular Biology 2.9k
- Epidemiology 1.0k
- Health Information Management 908
- General Health Professions 568
Countries citing papers authored by Wendy W. Chapman
This map shows the geographic impact of Wendy W. Chapman'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 Wendy W. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wendy W. Chapman more than expected).
Fields of papers citing papers by Wendy W. Chapman
This network shows the impact of papers produced by Wendy W. Chapman. 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 Wendy W. Chapman. The network helps show where Wendy W. Chapman may publish in the future.
Co-authorship network of co-authors of Wendy W. Chapman
This figure shows the co-authorship network connecting the top 25 collaborators of Wendy W. Chapman. A scholar is included among the top collaborators of Wendy W. Chapman 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 Wendy W. Chapman. Wendy W. Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | Annotating Social Determinants of Health and Functional Status Information Using Publicly Accessible Corpora. | 1 |
| 6 | 156 | |
| 7 | 19 | |
| 8 | RapTAT: A Tool for Assisted Annotation and Reviewer Training via Online Machine Learning. | 1 |
| 9 | 152 | |
| 10 | Developing a Knowledge Base for Detecting Carotid Stenosis with pyConText. | 2 |
| 11 | A Prototype Tool Set to Support Machine-Assisted Annotation | 29 |
| 12 | Medical diagnosis lost in translation -- Analysis of uncertainty and negation expressions in English and Swedish clinical texts | 9 |
| 13 | Discovering Lexical Instantiations of Clinical Concepts using Web Services, WordNet and Corpus Resources. | 6 |
| 14 | On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts. | 1 |
| 15 | A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records. | 12 |
| 16 | Developing an application ontology for mining free text clinical reports: The extended syndromic surveillance ontology | 7 |
| 17 | A Review of Journal Policies for Sharing Research Data | 42 |
| 18 | Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic Winter Games. | 28 |
| 19 | Creating a Software Tool for the Clinical Researcher -- the IPS System | 2 |
| 20 | Using Decision Tree Classifiers to Confirm Pneumonia Diagnosis | 1 |
About Wendy W. Chapman
Wendy W. Chapman is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 167 papers that have together received 7.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (75 papers), Topic Modeling (54 papers) and Natural Language Processing Techniques (33 papers). The work is most often cited by research in Health Informatics (445 citations), Health Information Management (908 citations) and Artificial Intelligence (3.8k citations). Wendy W. Chapman has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Lucila Ohno‐Machado, Prakash M. Nadkarni, John Dowling, Gregory F. Cooper, Paul Hanbury, Will Bridewell, Bruce G. Buchanan, Clement J. McDonald, Dina Demner‐Fushman and Peter J. Haug. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Annals of Surgery.
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.