Shounak Datta

429 total citations
11 papers, 248 citations indexed

About

Shounak Datta is a scholar working on Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Shounak Datta has authored 11 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Computational Theory and Mathematics and 3 papers in Surgery. Recurrent topics in Shounak Datta's work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), Computational Drug Discovery Methods (4 papers) and Hemodynamic Monitoring and Therapy (2 papers). Shounak Datta is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (4 papers), Computational Drug Discovery Methods (4 papers) and Hemodynamic Monitoring and Therapy (2 papers). Shounak Datta collaborates with scholars based in United States, India and Brazil. Shounak Datta's co-authors include Azra Bihorac, Tezcan Ozrazgat‐Baslanti, Parisa Rashidi, Matthew M. Ruppert, Tyler J. Loftus, Vikrant A. Dev, Gilbert R. Upchurch, Mario R. Eden, Benjamin Shickel and Chris Giordano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Surgery.

In The Last Decade

Shounak Datta

11 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shounak Datta United States 8 61 60 58 57 50 11 248
Changhee Lee South Korea 7 45 0.7× 89 1.5× 59 1.0× 21 0.4× 24 0.5× 28 278
Giulia Cogni Italy 7 46 0.8× 145 2.4× 24 0.4× 34 0.6× 25 0.5× 7 412
Byungjin Choi South Korea 10 84 1.4× 40 0.7× 78 1.3× 135 2.4× 20 0.4× 41 357
Fereshteh Razmi United States 2 63 1.0× 275 4.6× 88 1.5× 52 0.9× 78 1.6× 2 516
Francesca Raimondi United Kingdom 7 30 0.5× 140 2.3× 32 0.6× 99 1.7× 43 0.9× 8 371
Thomas Gumbsch Switzerland 4 31 0.5× 127 2.1× 46 0.8× 48 0.8× 36 0.7× 8 270
C. Weng United Kingdom 7 37 0.6× 62 1.0× 28 0.5× 29 0.5× 9 0.2× 11 370
Pajaree Krisanapan United States 12 81 1.3× 117 1.9× 62 1.1× 31 0.5× 202 4.0× 43 467
Yuta Nakamura Japan 10 114 1.9× 78 1.3× 36 0.6× 8 0.1× 125 2.5× 36 318
Flavio Mari Germany 14 24 0.4× 67 1.1× 88 1.5× 72 1.3× 86 1.7× 20 504

Countries citing papers authored by Shounak Datta

Since Specialization
Citations

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

Fields of papers citing papers by Shounak Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shounak Datta

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

All Works

11 of 11 papers shown
1.
Ren, Yuanfang, Tyler J. Loftus, Yanjun Li, et al.. (2022). Physiologic signatures within six hours of hospitalization identify acute illness phenotypes. SHILAP Revista de lepidopterología. 1(10). e0000110–e0000110. 2 indexed citations
2.
Ren, Yuanfang, Tyler J. Loftus, Shounak Datta, et al.. (2022). Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform. JAMA Network Open. 5(5). e2211973–e2211973. 70 indexed citations
3.
Datta, Shounak, Yanjun Li, Matthew M. Ruppert, et al.. (2021). Reinforcement learning in surgery. Surgery. 170(1). 329–332. 31 indexed citations
4.
Filiberto, Amanda C., Tezcan Ozrazgat‐Baslanti, Tyler J. Loftus, et al.. (2021). Optimizing predictive strategies for acute kidney injury after major vascular surgery. Surgery. 170(1). 298–303. 14 indexed citations
5.
Ghosh, Arka, Sankha Subhra Mullick, Shounak Datta, et al.. (2021). A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers. Pattern Recognition. 122. 108279–108279. 31 indexed citations
6.
Datta, Shounak, Tyler J. Loftus, Matthew M. Ruppert, et al.. (2020). Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension. Journal of Surgical Research. 254. 350–363. 25 indexed citations
7.
Mariottoni, Eduardo B., Shounak Datta, David Dov, et al.. (2020). Artificial Intelligence Mapping of Structure to Function in Glaucoma. Translational Vision Science & Technology. 9(2). 19–19. 44 indexed citations
8.
Datta, Shounak, Vikrant A. Dev, & Mario R. Eden. (2019). Developing non-linear rate constant QSPR using decision trees and multi-gene genetic programming. Computers & Chemical Engineering. 127. 150–157. 10 indexed citations
9.
Datta, Shounak. (2019). Machine Learning Algorithms for QSPR/QSAR Predictive Model Development Involving High-Dimensional Data. 1 indexed citations
10.
Datta, Shounak, Vikrant A. Dev, & Mario R. Eden. (2018). Using correlation based adaptive LASSO algorithm to develop QSPR of antitumour agents for DNA–drug binding prediction. Computers & Chemical Engineering. 122. 258–264. 5 indexed citations
11.
Datta, Shounak, Vikrant A. Dev, & Mario R. Eden. (2017). Hybrid genetic algorithm-decision tree approach for rate constant prediction using structures of reactants and solvent for Diels-Alder reaction. Computers & Chemical Engineering. 106. 690–698. 15 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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