Sourish Das

592 total citations
18 papers, 314 citations indexed

About

Sourish Das is a scholar working on Surgery, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Sourish Das has authored 18 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Artificial Intelligence and 3 papers in Global and Planetary Change. Recurrent topics in Sourish Das's work include Advanced Statistical Methods and Models (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Pain Management and Opioid Use (2 papers). Sourish Das is often cited by papers focused on Advanced Statistical Methods and Models (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Pain Management and Opioid Use (2 papers). Sourish Das collaborates with scholars based in United States, India and Australia. Sourish Das's co-authors include Carlos G. Micames, Frank G. Gress, Gurpreet Singh, Dipak K. Dey, Ofer Harel, Henry R. Kranzler, Jonathan Covault, Raymond F. Anton, Lance O. Bauer and Joel Gelernter and has published in prestigious journals such as Gastroenterology, The Journal of the Acoustical Society of America and Statistics in Medicine.

In The Last Decade

Sourish Das

16 papers receiving 301 citations

Peers

Sourish Das
Amanda Grattan Australia
Karen S. Lindeman United States
Valentina Paci Italy
Xinyu Zhao China
César Cabello Brazil
María F. Ramirez United States
Samantha Cox United Kingdom
Xian-Jin Xie United States
Yu-Sheng Lou Taiwan
Rodrigo Pedraza United States
Amanda Grattan Australia
Sourish Das
Citations per year, relative to Sourish Das Sourish Das (= 1×) peers Amanda Grattan

Countries citing papers authored by Sourish Das

Since Specialization
Citations

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

Fields of papers citing papers by Sourish Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourish Das

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

All Works

18 of 18 papers shown
1.
Vasudevan, M., et al.. (2024). Combining Machine Learning techniques and Genetic Algorithm for predicting run times of High Performance Computing jobs. Applied Soft Computing. 165. 112053–112053. 5 indexed citations
2.
Das, Sourish, et al.. (2023). Computational Finance with R.
3.
Yadav, Alka, Sourish Das, K. Shuvo Bakar, & Anirban Chakraborti. (2023). Understanding the complex dynamics of climate change in south-west Australia using Machine Learning. Physica A Statistical Mechanics and its Applications. 627. 129139–129139. 3 indexed citations
4.
Bhatt, Abhay G., Sourish Das, & Rajeeva L. Karandikar. (2020). Normalization of Marks in Multi-Session Examinations. Current Science. 118(1). 34–34. 1 indexed citations
5.
Chakraborti, Anirban, et al.. (2020). Emerging spectra characterization of catastrophic instabilities in complex systems. New Journal of Physics. 22(6). 63043–63043. 4 indexed citations
6.
Das, Sourish, et al.. (2018). Classification and regression using augmented trees. International Journal of Data Science and Analytics. 7(4). 259–276. 3 indexed citations
7.
Mavroidis, Panayiotis, et al.. (2017). PV-0511: Fitting NTCP models to patient reported xerostomia and dysphagia after H & N radiotherapy to 60Gy. Radiotherapy and Oncology. 123. S269–S270.
8.
Das, Sourish, et al.. (2017). A statistical machine learning approach to yield curve forecasting. 1–6. 6 indexed citations
9.
Cuneo, Kyle C., David M. Brizel, Jenny K. Hoang, et al.. (2012). Stereotactic Radiotherapy for Malignancies Involving the Trigeminal and Facial Nerves. Technology in Cancer Research & Treatment. 11(3). 221–228. 3 indexed citations
10.
Das, Sourish & Dipak Dey. (2011). On Dynamic Generalized Linear Models with Applications. Methodology And Computing In Applied Probability. 15(2). 407–421. 5 indexed citations
11.
Das, Sourish, Ofer Harel, Dipak K. Dey, Jonathan Covault, & Henry R. Kranzler. (2010). Analysis of extreme drinking in patients with alcohol dependence using Pareto regression. Statistics in Medicine. 29(11). 1250–1258. 6 indexed citations
12.
Sutinen, Päivi, et al.. (2010). Quantitative test for sensory hand symptoms based on mechanoreceptor-specific vibrotactile thresholds. The Journal of the Acoustical Society of America. 127(2). 1146–1155. 5 indexed citations
13.
14.
Das, Sourish & Dipak K. Dey. (2010). On Bayesian inference for generalized multivariate gamma distribution. Statistics & Probability Letters. 80(19-20). 1492–1499. 12 indexed citations
15.
Das, Sourish. (2008). Generalized linear models and beyond: An innovative approach from Bayesian perspective. International Nursing Review. 64(4). 486–493. 5 indexed citations
16.
17.
Bauer, Lance O., Jonathan Covault, Ofer Harel, et al.. (2007). Variation in GABRA2 Predicts Drinking Behavior in Project MATCH Subjects. Alcoholism Clinical and Experimental Research. 31(11). 1780–1787. 63 indexed citations
18.
Das, Sourish & Dipak K. Dey. (2006). On Bayesian Analysis of Generalized Linear Models Using the Jacobian Technique. The American Statistician. 60(3). 264–268. 7 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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2026