John Guttag
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Artificial Intelligence
- Epidemiology
- Co-authors
- Adrian V. DalcaGuha BalakrishnanMert R. SabuncuJenna WiensLaraine WasherDavid C. HooperRobert J. McCaffreyVincent B. Young
- Topics
- Clostridium difficile and Clostridium perfringens research (3 papers)Video Analysis and Summarization (2 papers)Sports Analytics and Performance (2 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- United States
In The Last Decade
John Guttag
9 papers receiving 363 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 168
- Radiology, Nuclear Medicine and Imaging 132
- Biomedical Engineering 81
- Artificial Intelligence 71
- Epidemiology 38
Countries citing papers authored by John Guttag
This map shows the geographic impact of John Guttag'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 Guttag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Guttag more than expected).
Fields of papers citing papers by John Guttag
This network shows the impact of papers produced by John Guttag. 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 Guttag. The network helps show where John Guttag may publish in the future.
Co-authorship network of co-authors of John Guttag
This figure shows the co-authorship network connecting the top 25 collaborators of John Guttag. A scholar is included among the top collaborators of John Guttag 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 Guttag. John Guttag 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 | 3 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 237 | |
| 7 | 89 | |
| 8 | 16 | |
| 9 | Learning Evolving Patient Risk Processes for C. Diff Colonization | 7 |
| 10 | Predicting the Next Pitch | 10 |
| 11 | Abstract 15908: Association of Heart Rate Turbulence, Deceleration Capacity and Morphologic Variability with Sudden Cardiac Death Following Non-ST-Elevation Acute Coronary Syndrome: Results from the MERLIN-TIMI 36 Trial | 0 |
| 12 | 2 |
About John Guttag
John Guttag is a scholar working on Computational Mathematics, Family Practice and Geriatrics and Gerontology, having authored 12 papers that have together received 370 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (3 papers), Video Analysis and Summarization (2 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in Health Informatics (21 citations), Computer Vision and Pattern Recognition (168 citations) and Radiology, Nuclear Medicine and Imaging (132 citations). John Guttag has collaborated with scholars based in United States. Frequent co-authors include Adrian V. Dalca, Guha Balakrishnan, Mert R. Sabuncu, Jenna Wiens, Laraine Washer, David C. Hooper, Robert J. McCaffrey, Vincent B. Young, Krishna Rao and Erica S. Shenoy. Their work appears in journals such as Circulation, PLoS ONE and Medical Image Analysis.
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.