Kirk Roberts
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
Papers in
-
- Topic Modeling 57
- Natural Language Processing Techniques 34
- Machine Learning in Healthcare 18
- Semantic Web and Ontologies 11
- Advanced Text Analysis Techniques 7
-
- Biomedical Text Mining and Ontologies 60
- Co-authors
- Dina Demner‐Fushman (25 shared papers)Sanda M. Harabagiu (20 shared papers)Yuqi Si (10 shared papers)Hua Xu (10 shared papers)Bryan Rink (10 shared papers)William Hersh (11 shared papers)Surabhi Datta (9 shared papers)Jingqi Wang (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (13 papers)Journal of Biomedical Informatics (9 papers)Database (5 papers)Language Resources and Evaluation (5 papers)BMC Medical Informatics and Decision Making (2 papers)
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
Kirk Roberts
129 papers receiving 2.9k citations
Kirk Roberts's Hit Papers
Peers
Comparison fields: 5 of 156
- Health Informatics 147
- Artificial Intelligence 1.6k
- Health Information Management 179
- Neurology 264
- Molecular Biology 778
Countries citing papers authored by Kirk Roberts
This map shows the geographic impact of Kirk Roberts'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 Kirk Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kirk Roberts more than expected).
Fields of papers citing papers by Kirk Roberts
This network shows the impact of papers produced by Kirk Roberts. 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 Kirk Roberts. The network helps show where Kirk Roberts may publish in the future.
Co-authors
The 25 scholars most cited alongside Kirk Roberts, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning in clinical natural language processing: a methodical review Hit paper breakdown → | 2019 | 305 |
| 2 | 2012 | 257 | |
| 3 | 2016 | 205 | |
| 4 | 2019 | 196 | |
| 5 | 2012 | 133 | |
| 6 | 2020 | 129 | |
| 7 | 2011 | 111 | |
| 8 | 2020 | 66 | |
| 9 | Overview of the TREC 2015 Clinical Decision Support Track. | 2015 | 66 |
| 10 | 2020 | 63 | |
| 11 | 2011 | 49 | |
| 12 | 2015 | 49 | |
| 13 | 2021 | 44 | |
| 14 | 2020 | 39 | |
| 15 | 2018 | 38 | |
| 16 | 2020 | 38 | |
| 17 | 2016 | 36 | |
| 18 | 2020 | 34 | |
| 19 | Automatically classifying question types for consumer health questions. | 2014 | 34 |
| 20 | 2020 | 34 |
About Kirk Roberts
Kirk Roberts is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Health Information Management and Computer Vision and Pattern Recognition, having authored 134 papers that have together received 3.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (60 papers), Topic Modeling (57 papers), Natural Language Processing Techniques (34 papers), Machine Learning in Healthcare (18 papers), Semantic Web and Ontologies (11 papers), Advanced Text Analysis Techniques (7 papers), Electronic Health Records Systems (5 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Health Informatics (147 citations), Artificial Intelligence (1.6k citations), Health Information Management (179 citations), Neurology (264 citations) and Molecular Biology (778 citations). Kirk Roberts has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Dina Demner‐Fushman, Sanda M. Harabagiu, Yuqi Si, Hua Xu, Bryan Rink, William Hersh, Surabhi Datta, Jingqi Wang, Sarvesh Soni and Ellen M. Voorhees. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Database, Language Resources and Evaluation and BMC Medical Informatics and Decision Making.
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.