Steven Bedrick
Impact in
- Health Informatics top 5%
Papers in
-
- Topic Modeling 15
- Text Readability and Simplification 8
- Natural Language Processing Techniques 6
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- Biomedical Text Mining and Ontologies 18
- Co-authors
- William Hersh (18 shared papers)Kyle Gorman (5 shared papers)Jayashree Kalpathy–Cramer (8 shared papers)Dina Demner‐Fushman (5 shared papers)Henning Müller (4 shared papers)Alba García Seco de Herrera (2 shared papers)Kirk Roberts (6 shared papers)Ellen M. Voorhees (4 shared papers)
- Journals
- Autism (3 papers)Journal of Speech Language and Hearing Research (3 papers)Neurosurgery (2 papers)Journal of the American Medical Informatics Association (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Steven Bedrick
60 papers receiving 912 citations
Peers
Comparison fields: 5 of 120
- Health Informatics 25
- Health Information Management 68
- Artificial Intelligence 406
- Computer Vision and Pattern Recognition 181
- Emergency Medicine 70
Countries citing papers authored by Steven Bedrick
This map shows the geographic impact of Steven Bedrick'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 Steven Bedrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Bedrick more than expected).
Fields of papers citing papers by Steven Bedrick
This network shows the impact of papers produced by Steven Bedrick. 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 Steven Bedrick. The network helps show where Steven Bedrick may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Bedrick, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 104 | |
| 2 | 2014 | 77 | |
| 3 | 2020 | 64 | |
| 4 | 2020 | 63 | |
| 5 | 2002 | 61 | |
| 6 | 2019 | 56 | |
| 7 | Overview of the CLEF 2011 Medical Image Classification and Retrieval Tasks. | 2011 | 49 |
| 8 | 2021 | 49 | |
| 9 | Overview of the CLEF 2010 medical image retrieval track | 2010 | 43 |
| 10 | Barriers to retrieving patient information from electronic health record data: failure analysis from the TREC Medical Records Track. | 2012 | 34 |
| 11 | 2020 | 33 | |
| 12 | 2018 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2017 | 20 | |
| 15 | 2015 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2016 | 16 | |
| 19 | Overview of the TREC 2017 Precision Medicine Track. | 2017 | 16 |
| 20 | Overview of the TREC 2019 Precision Medicine Track. | 2019 | 14 |
About Steven Bedrick
Steven Bedrick is a scholar working on Artificial Intelligence, Molecular Biology, Cognitive Neuroscience, General Health Professions and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 978 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (18 papers), Topic Modeling (15 papers), Neurobiology of Language and Bilingualism (9 papers), Text Readability and Simplification (8 papers), Autism Spectrum Disorder Research (8 papers), Image Retrieval and Classification Techniques (7 papers), Language Development and Disorders (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Health Informatics (25 citations), Health Information Management (68 citations), Artificial Intelligence (406 citations), Computer Vision and Pattern Recognition (181 citations) and Emergency Medicine (70 citations). Steven Bedrick has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include William Hersh, Kyle Gorman, Jayashree Kalpathy–Cramer, Dina Demner‐Fushman, Henning Müller, Alba García Seco de Herrera, Kirk Roberts, Ellen M. Voorhees, Kimberly M. Ray and Michael V. Danilchik. Their work appears in journals such as Autism, Journal of Speech Language and Hearing Research, Neurosurgery, Journal of the American Medical Informatics Association and Scientific Reports.
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.