Shounak Datta

1.0k total citations
21 papers, 756 citations indexed

About

Shounak Datta is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Shounak Datta has authored 21 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Shounak Datta's work include Imbalanced Data Classification Techniques (7 papers), Text and Document Classification Technologies (5 papers) and Electricity Theft Detection Techniques (4 papers). Shounak Datta is often cited by papers focused on Imbalanced Data Classification Techniques (7 papers), Text and Document Classification Technologies (5 papers) and Electricity Theft Detection Techniques (4 papers). Shounak Datta collaborates with scholars based in India, United States and Brazil. Shounak Datta's co-authors include Swagatam Das, B.B. Chaudhuri, Sankha Subhra Mullick, Chiranjib Bhattacharjee, Paramita Bhattacharya, S.A. Parsons, Sibdas Bandyopadhyay, Suman Dutta, Peter Jarvis and Surajit Bhattacharjee and has published in prestigious journals such as Chemical Engineering Journal, Desalination and Pattern Recognition.

In The Last Decade

Shounak Datta

21 papers receiving 734 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 India 13 446 180 101 87 60 21 756
Ibrahim M. El‐Hasnony Egypt 11 263 0.6× 36 0.2× 55 0.5× 20 0.2× 44 0.7× 31 542
Pradeep K. Sinha India 16 171 0.4× 100 0.6× 154 1.5× 51 0.6× 6 0.1× 70 978
Marco Vannucci Italy 15 251 0.6× 86 0.5× 67 0.7× 68 0.8× 16 0.3× 68 775
Malti Bansal India 13 116 0.3× 259 1.4× 47 0.5× 158 1.8× 6 0.1× 54 831
Hongxing Ma China 10 196 0.4× 50 0.3× 139 1.4× 81 0.9× 5 0.1× 18 531
Jesús Maillo Spain 8 325 0.7× 51 0.3× 81 0.8× 19 0.2× 19 0.3× 10 561
Saptarshi Sengupta United States 10 206 0.5× 83 0.5× 70 0.7× 39 0.4× 4 0.1× 29 588
Shawkat Ali Australia 9 298 0.7× 54 0.3× 87 0.9× 23 0.3× 9 0.1× 25 549

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

20 of 20 papers shown
1.
Mariottoni, Eduardo B., Shounak Datta, Alessandro A. Jammal, et al.. (2022). Deep Learning–Assisted Detection of Glaucoma Progression in Spectral-Domain OCT. Ophthalmology Glaucoma. 6(3). 228–238. 25 indexed citations
2.
Mariottoni, Eduardo B., Shounak Datta, David Dov, et al.. (2020). A Deep Learning-Based Mapping of Structure to Function in Glaucoma. Investigative Ophthalmology & Visual Science. 61(7). 3213–3213. 1 indexed citations
3.
Mullick, Sankha Subhra, et al.. (2020). Appropriateness of performance indices for imbalanced data classification: An analysis. Pattern Recognition. 102. 107197–107197. 52 indexed citations
4.
Datta, Shounak, et al.. (2019). Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning. IEEE Transactions on Knowledge and Data Engineering. 32(5). 883–897. 29 indexed citations
5.
Mullick, Sankha Subhra, Shounak Datta, & Swagatam Das. (2018). Adaptive Learning-Based $k$ -Nearest Neighbor Classifiers With Resilience to Class Imbalance. IEEE Transactions on Neural Networks and Learning Systems. 29(11). 5713–5725. 98 indexed citations
6.
Datta, Shounak & Swagatam Das. (2018). Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality. IEEE Transactions on Neural Networks and Learning Systems. 30(5). 1602–1608. 32 indexed citations
7.
Das, Swagatam, Shounak Datta, & B.B. Chaudhuri. (2018). Handling data irregularities in classification: Foundations, trends, and future challenges. Pattern Recognition. 81. 674–693. 162 indexed citations
8.
Datta, Shounak, et al.. (2018). Fast automatic estimation of the number of clusters from the minimum inter-center distance for k-means clustering. Pattern Recognition Letters. 116. 72–79. 27 indexed citations
9.
Datta, Shounak, et al.. (2017). On Boosting, Tug of War, and Lexicographic Programming.. 1 indexed citations
10.
Datta, Shounak, Sankha Subhra Mullick, & Swagatam Das. (2017). Generalized mean based back-propagation of errors for ambiguity resolution. Pattern Recognition Letters. 94. 22–29. 1 indexed citations
11.
Datta, Shounak, et al.. (2016). A feature weighted penalty based dissimilarity measure for k-nearest neighbor classification with missing features. Pattern Recognition Letters. 80. 231–237. 17 indexed citations
12.
Datta, Shounak, Abhiroop Ghosh, Krishnendu Sanyal, & Swagatam Das. (2016). A Radial Boundary Intersection aided interior point method for multi-objective optimization. Information Sciences. 377. 1–16. 21 indexed citations
13.
Datta, Shounak & Swagatam Das. (2015). Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs. Neural Networks. 70. 39–52. 126 indexed citations
14.
Chattopadhyay, Buddhadeb, et al.. (2013). Changes in physicochemical characteristics of wastewater carrying canals after relocation of Calcutta tannery agglomerates within the East Calcutta Wetland ecosystem (a Ramsar site). International Journal of Environmental Studies. 70(2). 203–221. 5 indexed citations
15.
Banerjee, Anwesha, et al.. (2012). Electrooculogram Based Online Control Signal Generation for Wheelchair. 251–255. 9 indexed citations
16.
Dutta, Susmita, S.A. Parsons, Chiranjib Bhattacharjee, et al.. (2009). Studies on adsorption and decolourisation of reactive dye on TiO<SUB align=right>2 surface. International Journal of Environmental Engineering. 2(1/2/3). 202–202. 1 indexed citations
17.
Dutta, Suman, S.A. Parsons, Chiranjib Bhattacharjee, et al.. (2009). Kinetic study of adsorption and photo-decolorization of Reactive Red 198 on TiO2 surface. Chemical Engineering Journal. 155(3). 674–679. 65 indexed citations
18.
Bhattacharjee, Chiranjib, et al.. (2009). Studies on the application of different ANNs to predict permeate flux in rotating disk membrane modules: A case study with MATLAB™. Desalination and Water Treatment. 2(1-3). 170–183. 7 indexed citations
19.
Bhattacharya, Paramita, et al.. (2005). Studies on ultrafiltration of spent sulfite liquor using various membranes for the recovery of lignosulphonates. Desalination. 174(3). 287–297. 50 indexed citations
20.
Pal, Parimal, Shounak Datta, & Pinaki Bhattacharya. (2002). Multi-enzyme immobilization in eco-friendly emulsion liquid membrane reactor—a new approach to membrane formulation. Separation and Purification Technology. 27(2). 145–154. 12 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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