Kipp W. Johnson
- Cardiology and Cardiovascular Medicine top 2%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Health Information Management top 0.1%
- Health Informatics top 0.1%
- Co-authors
- Benjamin S. GlicksbergJoel T. DudleyKhader ShameerRiccardo MiottoChayakrit KrittanawongMohsin AliJessica Torres SotoEuan A. Ashley
- Topics
- Machine Learning in Healthcare (12 papers)Artificial Intelligence in Healthcare (7 papers)Coronary Interventions and Diagnostics (6 papers)
- Journals
- Journal of the American College of CardiologyPLoS ONEApplied and Environmental Microbiology
- Partner nations
- United StatesItalyCanada
In The Last Decade
Kipp W. Johnson
45 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Cardiology and Cardiovascular Medicine 975
- Artificial Intelligence 582
- Radiology, Nuclear Medicine and Imaging 560
- Health Information Management 545
- Health Informatics 494
Countries citing papers authored by Kipp W. Johnson
This map shows the geographic impact of Kipp W. Johnson'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 Kipp W. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kipp W. Johnson more than expected).
Fields of papers citing papers by Kipp W. Johnson
This network shows the impact of papers produced by Kipp W. Johnson. 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 Kipp W. Johnson. The network helps show where Kipp W. Johnson may publish in the future.
Co-authorship network of co-authors of Kipp W. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Kipp W. Johnson. A scholar is included among the top collaborators of Kipp W. Johnson 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 Kipp W. Johnson. Kipp W. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 91 | |
| 5 | 66 | |
| 6 | 12 | |
| 7 | 145 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 81 | |
| 12 | 16 | |
| 13 | 52 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 199 | |
| 17 | 3 | |
| 18 | Artificial Intelligence in Cardiologybreakdown → | 680 |
| 19 | 9 | |
| 20 | 106 |
About Kipp W. Johnson
Kipp W. Johnson is a scholar working on Health Informatics, Health Information Management and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (12 papers), Artificial Intelligence in Healthcare (7 papers) and Coronary Interventions and Diagnostics (6 papers). The work is most often cited by research in Health Informatics (494 citations), Health Information Management (545 citations) and Cardiology and Cardiovascular Medicine (975 citations). Kipp W. Johnson has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Benjamin S. Glicksberg, Joel T. Dudley, Khader Shameer, Riccardo Miotto, Chayakrit Krittanawong, Mohsin Ali, Jessica Torres Soto, Euan A. Ashley, Partho P. Sengupta and Jonathan L. Halperin. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Applied and Environmental Microbiology.
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.