Taridzo Chomutare
- General Health Professions top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Applied Psychology top 5%
- Artificial Intelligence top 10%
- Health Information Management top 1%
- Co-authors
- Eirik ÅrsandGunnar HartvigsenLuis Fernández-LuquePhuong Dinh NgoNaoe TataraMaryam TayefiFred GodtliebsenAndrius Budrionis
- Topics
- Mobile Health and mHealth Applications (9 papers)Biomedical Text Mining and Ontologies (7 papers)Machine Learning in Healthcare (6 papers)
In The Last Decade
Taridzo Chomutare
36 papers receiving 930 citations
Peers
Comparison fields: 5 of 112
- General Health Professions 514
- Endocrinology, Diabetes and Metabolism 227
- Applied Psychology 149
- Artificial Intelligence 124
- Health Information Management 118
Countries citing papers authored by Taridzo Chomutare
This map shows the geographic impact of Taridzo Chomutare'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 Taridzo Chomutare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taridzo Chomutare more than expected).
Fields of papers citing papers by Taridzo Chomutare
This network shows the impact of papers produced by Taridzo Chomutare. 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 Taridzo Chomutare. The network helps show where Taridzo Chomutare may publish in the future.
Co-authorship network of co-authors of Taridzo Chomutare
This figure shows the co-authorship network connecting the top 25 collaborators of Taridzo Chomutare. A scholar is included among the top collaborators of Taridzo Chomutare 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 Taridzo Chomutare. Taridzo Chomutare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | Using a Large Open Clinical Corpus for Improved ICD-10 Diagnosis Coding. | 1 |
| 9 | 1 | |
| 10 | 74 | |
| 11 | 1 | |
| 12 | 132 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 47 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 24 | |
| 19 | 54 | |
| 20 | 345 |
About Taridzo Chomutare
Taridzo Chomutare is a scholar working on Health Informatics, Health Information Management and Issues, ethics and legal aspects, having authored 39 papers that have together received 969 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (9 papers), Biomedical Text Mining and Ontologies (7 papers) and Machine Learning in Healthcare (6 papers). The work is most often cited by research in Health Informatics (79 citations), Applied Psychology (149 citations) and Health Information Management (118 citations). Taridzo Chomutare has collaborated with scholars based in Norway, Sweden and Finland. Frequent co-authors include Eirik Årsand, Gunnar Hartvigsen, Luis Fernández-Luque, Phuong Dinh Ngo, Naoe Tatara, Maryam Tayefi, Fred Godtliebsen, Andrius Budrionis, Hercules Dalianis and Stein Olav Skrøvseth. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Medical Internet Research and BMC Health Services Research.
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.