Joseph M. Plasek
- Artificial Intelligence top 10%
- Molecular Biology
- Immunology and Allergy top 5%
- Toxicology top 2%
- Health Information Management top 5%
- Co-authors
- Li ZhouDavid W. BatesFrank ChangFoster GossAdrian WongDiane L. SegerMaxim TopazRoberto A. Rocha
- Topics
- Machine Learning in Healthcare (12 papers)Biomedical Text Mining and Ontologies (8 papers)Electronic Health Records Systems (6 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Joseph M. Plasek
38 papers receiving 532 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 127
- Molecular Biology 108
- Immunology and Allergy 90
- Toxicology 81
- Health Information Management 58
Countries citing papers authored by Joseph M. Plasek
This map shows the geographic impact of Joseph M. Plasek'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 Joseph M. Plasek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph M. Plasek more than expected).
Fields of papers citing papers by Joseph M. Plasek
This network shows the impact of papers produced by Joseph M. Plasek. 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 Joseph M. Plasek. The network helps show where Joseph M. Plasek may publish in the future.
Co-authorship network of co-authors of Joseph M. Plasek
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Plasek. A scholar is included among the top collaborators of Joseph M. Plasek 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 Joseph M. Plasek. Joseph M. Plasek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 15 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | 8 | |
| 17 | 77 | |
| 18 | 24 | |
| 19 | 25 | |
| 20 | Poster: A Real-Time Physical Therapy Visualization Strategy to Improve Unsupervised Patient Rehabilitation | 9 |
About Joseph M. Plasek
Joseph M. Plasek is a scholar working on Medical Terminology, Health Information Management and Issues, ethics and legal aspects, having authored 42 papers that have together received 544 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (12 papers), Biomedical Text Mining and Ontologies (8 papers) and Electronic Health Records Systems (6 papers). The work is most often cited by research in Medical Terminology (15 citations), Health Informatics (41 citations) and Toxicology (81 citations). Joseph M. Plasek has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Li Zhou, David W. Bates, Frank Chang, Foster Goss, Adrian Wong, Diane L. Seger, Maxim Topaz, Roberto A. Rocha, Kimberly G. Blumenthal and Chunlei Tang. Their work appears in journals such as American Journal of Epidemiology, Journal of Allergy and Clinical Immunology and IEEE Access.
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.