James Masanz
Impact in
- Health Information Management top 0.5%
- Electronic Health Records Systems
- Health Informatics top 5%
Papers in
-
- Topic Modeling 11
- Natural Language Processing Techniques 8
- Semantic Web and Ontologies 2
- Text Readability and Simplification 1
-
- Biomedical Text Mining and Ontologies 10
- Co-authors
- Guergana Savova (3 shared papers)Christopher G. Chute (3 shared papers)Philip V. Ogren (3 shared papers)Sunghwan Sohn (2 shared papers)Jiaping Zheng (1 shared paper)Guergana Savova (5 shared papers)Stephen Wu (5 shared papers)Piet C. de Groen (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Journal of Biomedical Semantics (1 paper)Journal of Biomedical Informatics (1 paper)PLoS ONE (1 paper)Text REtrieval Conference (1 paper)
- Partner nations
- United States
In The Last Decade
James Masanz
13 papers receiving 1.8k citations
James Masanz's Hit Papers
Peers
Comparison fields: 5 of 102
- Health Information Management 158
- Health Informatics 48
- Artificial Intelligence 1.0k
- Molecular Biology 963
- Toxicology 36
Countries citing papers authored by James Masanz
This map shows the geographic impact of James Masanz'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 James Masanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Masanz more than expected).
Fields of papers citing papers by James Masanz
This network shows the impact of papers produced by James Masanz. 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 James Masanz. The network helps show where James Masanz may publish in the future.
Co-authors
The 25 scholars most cited alongside James Masanz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications Hit paper breakdown → | 2010 | 1455 |
| 2 | 2008 | 149 | |
| 3 | 2014 | 82 | |
| 4 | The MiPACQ clinical question answering system. | 2011 | 56 |
| 5 | Towards temporal relation discovery from the clinical narrative. | 2009 | 51 |
| 6 | 2013 | 33 | |
| 7 | 2000 | 25 | |
| 8 | 2008 | 18 | |
| 9 | Classification of medication status change in clinical narratives. | 2010 | 14 |
| 10 | Open Source Clinical NLP - More than Any Single System. | 2014 | 12 |
| 11 | 2010 | 11 | |
| 12 | Three Questions About Clinical Information Retrieval. | 2012 | 2 |
| 13 | Negation's Not Solved: Reconsidering Negation Annotation and Evaluation. | 2013 | 1 |
About James Masanz
James Masanz is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing and Infectious Diseases, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Biomedical Text Mining and Ontologies (10 papers), Natural Language Processing Techniques (8 papers), Semantic Web and Ontologies (2 papers), Text Readability and Simplification (1 paper), Video Analysis and Summarization (1 paper), Video Coding and Compression Technologies (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Health Information Management (158 citations), Health Informatics (48 citations), Artificial Intelligence (1.0k citations), Molecular Biology (963 citations) and Toxicology (36 citations). James Masanz has collaborated with scholars based in United States. Frequent co-authors include Guergana Savova, Christopher G. Chute, Philip V. Ogren, Sunghwan Sohn, Jiaping Zheng, Guergana Savova, Stephen Wu, Piet C. de Groen, James Martin and Martha Palmer. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Semantics, Journal of Biomedical Informatics, PLoS ONE and Text REtrieval Conference.
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.