Sankha Subhra Mullick

2.0k total citations · 1 hit paper
11 papers, 1.5k citations indexed

About

Sankha Subhra Mullick is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Sankha Subhra Mullick has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Sankha Subhra Mullick's work include Imbalanced Data Classification Techniques (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Evolutionary Algorithms and Applications (3 papers). Sankha Subhra Mullick is often cited by papers focused on Imbalanced Data Classification Techniques (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Evolutionary Algorithms and Applications (3 papers). Sankha Subhra Mullick collaborates with scholars based in India, United States and South Korea. Sankha Subhra Mullick's co-authors include Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Shounak Datta, Ivan Zelinka, Asit Kumar Das, Rammohan Mallipeddi, Arka Ghosh, Shounak Datta and Imon Banerjee and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Sankha Subhra Mullick

11 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recent advances in differential evolution – An updated survey

2016 1.2k citations Swagatam Das, Sankha Subhra Mullick et al. Swarm and Evolutionary Computation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sankha Subhra Mullick India	8	1.0k	567	207	167	163	11	1.5k
Noor H. Awad Jordan	18	1.2k 1.1×	746 1.3×	249 1.2×	114 0.7×	178 1.1×	31	1.6k
Ruochen Liu China	22	787 0.8×	573 1.0×	94 0.5×	220 1.3×	136 0.8×	111	1.7k
Mohamed A. Tawhid Canada	20	760 0.7×	520 0.9×	137 0.7×	104 0.6×	128 0.8×	65	1.3k
Erwie Zahara Taiwan	10	972 1.0×	527 0.9×	201 1.0×	200 1.2×	269 1.7×	16	1.7k
Heqi Wang China	17	900 0.9×	438 0.8×	243 1.2×	225 1.3×	212 1.3×	33	1.6k
Giovanni Iacca Italy	20	1.1k 1.1×	621 1.1×	171 0.8×	146 0.9×	179 1.1×	121	1.7k
Zahra Beheshti Iran	19	828 0.8×	347 0.6×	175 0.8×	148 0.9×	176 1.1×	32	1.3k
Satyasai Jagannath Nanda India	18	823 0.8×	256 0.5×	182 0.9×	241 1.4×	158 1.0×	107	1.4k
Shimpi Singh Jadon India	10	675 0.7×	276 0.5×	244 1.2×	155 0.9×	196 1.2×	21	1.3k

Countries citing papers authored by Sankha Subhra Mullick

Since Specialization

Citations

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

Fields of papers citing papers by Sankha Subhra Mullick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sankha Subhra Mullick. 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 Sankha Subhra Mullick. The network helps show where Sankha Subhra Mullick may publish in the future.

Co-authorship network of co-authors of Sankha Subhra Mullick

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

All Works

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11 of 11 papers shown

Mullick, Sankha Subhra, et al.. (2023). Content Moderation for Evolving Policies using Binary Question Answering. 561–573. 6 indexed citations

Das, Swagatam, Sankha Subhra Mullick, & Ivan Zelinka. (2022). On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges. IEEE Transactions on Artificial Intelligence. 3(6). 973–993. 50 indexed citations

Mullick, Sankha Subhra, et al.. (2022). Do Preprocessing and Class Imbalance Matter to the Deep Image Classifiers for COVID-19 Detection? An Explainable Analysis. IEEE Transactions on Artificial Intelligence. 4(2). 229–241. 6 indexed citations

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

Mullick, Sankha Subhra, et al.. (2020). Appropriateness of performance indices for imbalanced data classification: An analysis. Pattern Recognition. 102. 107197–107197. 52 indexed citations

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

Banerjee, Imon, Sankha Subhra Mullick, & Swagatam Das. (2018). On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier. IEEE Transactions on Fuzzy Systems. 27(6). 1226–1236. 12 indexed citations

Mullick, Sankha Subhra, et al.. (2017). A parameter independent fuzzy weighted k -Nearest neighbor classifier. Pattern Recognition Letters. 101. 80–87. 40 indexed citations

Ghosh, Arka, Swagatam Das, Sankha Subhra Mullick, Rammohan Mallipeddi, & Asit Kumar Das. (2017). A switched parameter differential evolution with optional blending crossover for scalable numerical optimization. Applied Soft Computing. 57. 329–352. 40 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.

Das, Swagatam, Sankha Subhra Mullick, & Ponnuthurai Nagaratnam Suganthan. (2016). Recent advances in differential evolution – An updated survey. Swarm and Evolutionary Computation. 27. 1–30. 1186 indexed citations breakdown →

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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