Nikesh Muthukrishnan
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 2
- Radiation Dose and Imaging 1
- Surgery 3
- Co-authors
- Reza Forghani (10 shared papers)Caroline Reinhold (9 shared papers)Behzad Forghani (4 shared papers)Farhad Maleki (6 shared papers)Katie Ovens (3 shared papers)Avishek Chatterjee (2 shared papers)Peter Savadjiev (1 shared paper)Griselda Romero-Sánchez (2 shared papers)
- Journals
- Neuroimaging Clinics of North America (3 papers)Computational and Structural Biotechnology Journal (2 papers)Cancers (1 paper)Scientific Reports (1 paper)Translational Oncology (1 paper)
- Partner nations
- CanadaUnited StatesThailand
In The Last Decade
Nikesh Muthukrishnan
10 papers receiving 434 citations
Peers
Comparison fields: 5 of 122
- Health Informatics 75
- Radiology, Nuclear Medicine and Imaging 259
- Otorhinolaryngology 33
- Artificial Intelligence 96
- Health Information Management 13
Countries citing papers authored by Nikesh Muthukrishnan
This map shows the geographic impact of Nikesh Muthukrishnan'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 Nikesh Muthukrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikesh Muthukrishnan more than expected).
Fields of papers citing papers by Nikesh Muthukrishnan
This network shows the impact of papers produced by Nikesh Muthukrishnan. 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 Nikesh Muthukrishnan. The network helps show where Nikesh Muthukrishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikesh Muthukrishnan, 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 | 2019 | 133 | |
| 2 | 2020 | 100 | |
| 3 | 2020 | 89 | |
| 4 | 2019 | 70 | |
| 5 | 2020 | 20 | |
| 6 | 2021 | 13 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 5 | |
| 10 | 2019 | 2 |
About Nikesh Muthukrishnan
Nikesh Muthukrishnan is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering, Pathology and Forensic Medicine and Health Informatics, having authored 10 papers that have together received 454 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Medical Imaging Techniques and Applications (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Radiation Dose and Imaging (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Informatics (75 citations), Radiology, Nuclear Medicine and Imaging (259 citations), Otorhinolaryngology (33 citations), Artificial Intelligence (96 citations) and Health Information Management (13 citations). Nikesh Muthukrishnan has collaborated with scholars based in Canada, United States and Thailand. Frequent co-authors include Reza Forghani, Caroline Reinhold, Behzad Forghani, Farhad Maleki, Katie Ovens, Avishek Chatterjee, Peter Savadjiev, Griselda Romero-Sánchez, Eugene Yu and Julian L. Wichmann. Their work appears in journals such as Neuroimaging Clinics of North America, Computational and Structural Biotechnology Journal, Cancers, Scientific Reports and Translational Oncology.
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.