Kris Sankaran
Impact in
- Virology top 10%
- HIV Research and Treatment
- Health Informatics top 10%
Papers in
-
- Gut microbiota and health 6
- Gene expression and cancer classification 4
- Metabolomics and Mass Spectrometry Studies 3
- Bioinformatics and Genomic Networks 3
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- Data Analysis with R 4
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Susan Holmes (6 shared papers)Yuan Ru (1 shared paper)Shankuan Zhu (1 shared paper)Mike Baiocchi (1 shared paper)Xiaoguang Ma (1 shared paper)Lijin Chen (1 shared paper)Min Yan (1 shared paper)Julia Fukuyama (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Annual Review of Statistics and Its Application (1 paper)Nature Communications (1 paper)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Kris Sankaran
25 papers receiving 533 citations
Peers
Comparison fields: 5 of 146
- Virology 55
- Health Informatics 13
- Infectious Diseases 86
- Biological Psychiatry 11
- Computer Vision and Pattern Recognition 70
Countries citing papers authored by Kris Sankaran
This map shows the geographic impact of Kris Sankaran'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 Kris Sankaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris Sankaran more than expected).
Fields of papers citing papers by Kris Sankaran
This network shows the impact of papers produced by Kris Sankaran. 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 Kris Sankaran. The network helps show where Kris Sankaran may publish in the future.
Co-authors
The 25 scholars most cited alongside Kris Sankaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2019 | 81 | |
| 3 | 2022 | 73 | |
| 4 | 2016 | 68 | |
| 5 | 2014 | 55 | |
| 6 | 2017 | 44 | |
| 7 | 2022 | 25 | |
| 8 | 2019 | 23 | |
| 9 | 2021 | 20 | |
| 10 | 2002 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2019 | 7 | |
| 13 | HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion | 2019 | 5 |
| 14 | 2022 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2019 | 2 |
About Kris Sankaran
Kris Sankaran is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases and Ocean Engineering, having authored 25 papers that have together received 537 indexed citations. Recurring topics across this work include Gut microbiota and health (6 papers), Data Analysis with R (4 papers), Gene expression and cancer classification (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Bioinformatics and Genomic Networks (3 papers), Data Visualization and Analytics (3 papers), Online Learning and Analytics (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Virology (55 citations), Health Informatics (13 citations), Infectious Diseases (86 citations), Biological Psychiatry (11 citations) and Computer Vision and Pattern Recognition (70 citations). Kris Sankaran has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Susan Holmes, Yuan Ru, Shankuan Zhu, Mike Baiocchi, Xiaoguang Ma, Lijin Chen, Min Yan, Julia Fukuyama, Yimin Liu and Chris S. Thomas. Their work appears in journals such as PLoS Computational Biology, Annual Review of Statistics and Its Application, Nature Communications, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.