Satheesh Krishna

2.8k citations
87 papers · 1.7k indexed · 1 hit paper · h-index 22
Topics
Renal cell carcinoma treatment (24 papers)MRI in cancer diagnosis (15 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)
Partner nations
CanadaUnited StatesIndia

In The Last Decade

Satheesh Krishna

74 papers receiving 1.6k citations

Hit Papers

Performance of ChatGPT on a Radiology Board-style Examina...2023202620242025202350100150200250

Peers

Satheesh Krishna
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 897
  • Pulmonary and Respiratory Medicine 707
  • Health Informatics 385
  • Surgery 345
  • Biomedical Engineering 259
Replace Christoph Wald with:
Christoph Wald United States
Domenico Mastrodicasa United States
Matthieu Rutten Netherlands
Patrick Omoumi Switzerland
Andrew Plumb United Kingdom
Eui Jin Hwang South Korea
Alexander Brook United States
Michaela Cellina Italy
Brian C. Allen United States
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Satheesh Krishna relative to Christoph Wald United States Christoph Wald's profile →
Citations per field
00.5×1.7×
Christoph Wald · 1×
Citations per year

Countries citing papers authored by Satheesh Krishna

Since Specialization
Citations

This map shows the geographic impact of Satheesh Krishna'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 Satheesh Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satheesh Krishna more than expected).

Fields of papers citing papers by Satheesh Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satheesh Krishna. 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 Satheesh Krishna. The network helps show where Satheesh Krishna may publish in the future.

Co-authorship network of co-authors of Satheesh Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of Satheesh Krishna. A scholar is included among the top collaborators of Satheesh Krishna 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 Satheesh Krishna. Satheesh Krishna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 32
5 3
6 1
7 1
8 7
9 29
10 10
11 21
12 10
13 6
14 9
15 23
16 14
17 65
18 4
19 2
20 13

About Satheesh Krishna

Satheesh Krishna is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (24 papers), MRI in cancer diagnosis (15 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). The work is most often cited by research in Health Informatics (385 citations), Radiology, Nuclear Medicine and Imaging (897 citations) and Family Practice (56 citations). Satheesh Krishna has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Nicola Schieda, Rajesh Bhayana, Robert Bleakney, Matthew D. F. McInnes, Trevor A. Flood, Fatemeh Zabihollahy, Eranga Ukwatta, Sabarish Narayanasamy, Christopher S. Lim and Robert Lim. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and International Journal of Radiation Oncology*Biology*Physics.

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.

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