John F. Hurdle
- Artificial Intelligence top 1%
- Health Information Management top 0.05%
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Surgery top 10%
- Co-authors
- Stéphane M. MeystreGuergana SavovaMatt D. PriceKimberly J. OʼMalleyKaron F. CookCarol M. AshtonJonathan R. NebekerCharlene Weir
- Topics
- Biomedical Text Mining and Ontologies (23 papers)Electronic Health Records Systems (14 papers)Topic Modeling (13 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
John F. Hurdle
73 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 941
- Health Information Management 778
- Molecular Biology 776
- Public Health, Environmental and Occupational Health 540
- Surgery 373
Countries citing papers authored by John F. Hurdle
This map shows the geographic impact of John F. Hurdle'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 John F. Hurdle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John F. Hurdle more than expected).
Fields of papers citing papers by John F. Hurdle
This network shows the impact of papers produced by John F. Hurdle. 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 John F. Hurdle. The network helps show where John F. Hurdle may publish in the future.
Co-authorship network of co-authors of John F. Hurdle
This figure shows the co-authorship network connecting the top 25 collaborators of John F. Hurdle. A scholar is included among the top collaborators of John F. Hurdle 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 John F. Hurdle. John F. Hurdle 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 | 16 | |
| 3 | 6 | |
| 4 | RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. | 3 |
| 5 | 46 | |
| 6 | 7 | |
| 7 | qDIET: toward an automated, self-sustaining knowledge base to facilitate linking point-of-sale grocery items to nutritional content. | 6 |
| 8 | 7 | |
| 9 | 20 | |
| 10 | Linking supermarket sales data to nutritional information: an informatics feasibility study. | 15 |
| 11 | Integrating a Federated Healthcare Data Query Platform With Electronic IRB Information Systems. | 3 |
| 12 | 48 | |
| 13 | 33 | |
| 14 | 57 | |
| 15 | Measuring Diagnoses: ICD Code Accuracybreakdown → | 834 |
| 16 | 265 | |
| 17 | 12 | |
| 18 | 77 | |
| 19 | 165 | |
| 20 | 18 |
About John F. Hurdle
John F. Hurdle is a scholar working on Health Information Management, Transplantation and Toxicology, having authored 73 papers that have together received 3.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (23 papers), Electronic Health Records Systems (14 papers) and Topic Modeling (13 papers). The work is most often cited by research in Health Information Management (778 citations), Transplantation (279 citations) and Health Informatics (85 citations). John F. Hurdle has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Stéphane M. Meystre, Guergana Savova, Matt D. Price, Kimberly J. OʼMalley, Karon F. Cook, Carol M. Ashton, Jonathan R. Nebeker, Charlene Weir, Jennifer Hoffman and Charles L. Bennett. Their work appears in journals such as PLoS ONE, Nature Reviews Genetics 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.