Kris Sankaran

3.8k total citations
25 papers, 537 citations indexed

About

Kris Sankaran is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kris Sankaran has authored 25 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kris Sankaran's work include Gut microbiota and health (6 papers), Data Analysis with R (4 papers) and Gene expression and cancer classification (4 papers). Kris Sankaran is often cited by papers focused on Gut microbiota and health (6 papers), Data Analysis with R (4 papers) and Gene expression and cancer classification (4 papers). Kris Sankaran collaborates with scholars based in United States, Canada and China. Kris Sankaran's co-authors include Susan Holmes, Lijin Chen, Shankuan Zhu, Min Yan, Yuan Ru, Xiaoguang Ma, Mike Baiocchi, Yoshua Bengio, Amanda Hurley and Jie Fu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Virology.

In The Last Decade

Kris Sankaran

25 papers receiving 533 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kris Sankaran United States 10 208 86 70 55 47 25 537
Robert Sherwood United States 15 174 0.8× 48 0.6× 17 0.2× 18 0.3× 64 1.4× 55 736
K. V. Kale India 15 119 0.6× 36 0.4× 119 1.7× 11 0.2× 111 2.4× 96 844
Eduardo Zurek Colombia 11 103 0.5× 21 0.2× 61 0.9× 7 0.1× 56 1.2× 36 479
Yuan Jin China 14 119 0.6× 58 0.7× 66 0.9× 4 0.1× 23 0.5× 25 491
Jun Sasaki Japan 16 87 0.4× 86 1.0× 104 1.5× 12 0.2× 16 0.3× 94 732
Xu Ye China 14 154 0.7× 126 1.5× 30 0.4× 4 0.1× 17 0.4× 68 680
Yongjian Liu China 19 183 0.9× 33 0.4× 6 0.1× 26 0.5× 31 0.7× 45 1.0k
J. v. Braun United States 9 114 0.5× 20 0.2× 11 0.2× 36 0.7× 81 1.7× 10 482

Countries citing papers authored by Kris Sankaran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kris Sankaran

This figure shows the co-authorship network connecting the top 25 collaborators of Kris Sankaran. A scholar is included among the top collaborators of Kris Sankaran 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 Kris Sankaran. Kris Sankaran 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
1.
Sankaran, Kris, et al.. (2024). Semisynthetic simulation for microbiome data analysis. Briefings in Bioinformatics. 26(1). 3 indexed citations
2.
Sankaran, Kris. (2024). Data Science Principles for Interpretable and Explainable AI. Journal of Data Science. 26–52. 1 indexed citations
3.
Thairu, Margaret W., et al.. (2024). Multimedia: multimodal mediation analysis of microbiome data. Microbiology Spectrum. 13(2). e0113124–e0113124. 1 indexed citations
4.
Sankaran, Kris & Pratheepa Jeganathan. (2024). mbtransfer: Microbiome intervention analysis using transfer functions and mirror statistics. PLoS Computational Biology. 20(6). e1012196–e1012196. 2 indexed citations
5.
Sankaran, Siva, Kris Sankaran, & Tung Bui. (2023). Student satisfaction with R vs. Excel in Data Mining and Business Analytics: A Herzberg's motivation‐hygiene theory perspective. Decision Sciences Journal of Innovative Education. 21(2). 68–82. 4 indexed citations
6.
Chevrette, Marc G., et al.. (2022). Microbiome composition modulates secondary metabolism in a multispecies bacterial community. Proceedings of the National Academy of Sciences. 119(42). e2212930119–e2212930119. 73 indexed citations
7.
Sankaran, Kris, et al.. (2022). Interactive Visualization and Representation Analysis Applied to Glacier Segmentation. ISPRS International Journal of Geo-Information. 11(8). 415–415. 1 indexed citations
8.
Fukuyama, Julia, Kris Sankaran, & Laura Symul. (2022). Multiscale analysis of count data through topic alignment. Biostatistics. 24(4). 1045–1065. 4 indexed citations
9.
Cheong, So‐Min, Kris Sankaran, & Hamsa Bastani. (2022). Artificial intelligence for climate change adaptation. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 12(5). 25 indexed citations
10.
Dodd, Jonathan D., et al.. (2021). Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. arXiv (Cornell University). 111–111. 20 indexed citations
11.
Cheng, Yuwei, Jiannan Zhu, Jie Fu, et al.. (2021). FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10933–10942. 85 indexed citations
12.
Sankaran, Kris & Susan Holmes. (2019). Multitable Methods for Microbiome Data Integration. Frontiers in Genetics. 10. 627–627. 23 indexed citations
13.
Yan, Min, Xiaoguang Ma, Kris Sankaran, et al.. (2019). Sex-specific association between gut microbiome and fat distribution. Nature Communications. 10(1). 2408–2408. 81 indexed citations
14.
Sankaran, Kris, et al.. (2019). Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications. Eurographics. 7–11. 7 indexed citations
15.
Deudon, Michel, Freddie Kalaitzis, Zhichao Lin, et al.. (2019). HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion. 5 indexed citations
16.
Sankaran, Kris, et al.. (2019). Hierarchical Importance Weighted Autoencoders. arXiv (Cornell University). 2869–2878. 2 indexed citations
17.
Fukuyama, Julia, Laurie Rumker, Kris Sankaran, et al.. (2017). Multidomain analyses of a longitudinal human microbiome intestinal cleanout perturbation experiment. PLoS Computational Biology. 13(8). e1005706–e1005706. 44 indexed citations
18.
Rhee, Soo‐Yon, Kris Sankaran, Vici Varghese, et al.. (2016). HIV-1 Protease, Reverse Transcriptase, and Integrase Variation. Journal of Virology. 90(13). 6058–6070. 68 indexed citations
19.
Sankaran, Kris & Susan Holmes. (2014). structSSI: Simultaneous and Selective Inference for Grouped or Hierarchically Structured Data. Journal of Statistical Software. 59(13). 1–21. 55 indexed citations
20.
Rahman, M., et al.. (2002). Decision algorithm for selection of high-speed machining, EDM or a combination for the manufacture of injection moulds. International Journal of Production Research. 40(4). 845–872. 9 indexed citations

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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