Sankha Subhra Mullick

2.0k citations

11 papers · 1.5k indexed · 1 hit paper · h-index 8

Artificial Intelligence top 1%
Computational Theory and Mathematics top 1%
Electrical and Electronic Engineering
Computer Vision and Pattern Recognition top 5%
Control and Systems Engineering top 5%

Co-authors: Swagatam Das Ponnuthurai Nagaratnam Suganthan Shounak Datta Ivan Zelinka Arka Ghosh Rammohan Mallipeddi Asit Kumar Das Imon Banerjee
Topics: Imbalanced Data Classification Techniques (4 papers)Metaheuristic Optimization Algorithms Research (3 papers)Evolutionary Algorithms and Applications (3 papers)
Cited by: Computational Theory and Mathematics Artificial Intelligence Computer Vision and Pattern Recognition
Journals: Pattern Recognition IEEE Transactions on Fuzzy Systems IEEE Transactions on Neural Networks and Learning Systems
Partner nations: India United States South Korea

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

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

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

#	Work	Indexed citations
1	Content Moderation for Evolving Policies using Binary Question Answering 2023 ·Sankha Subhra Mullick,(unknown),(unknown),(unknown),(unknown),(unknown)	6
2	On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges 2022 ·IEEE Transactions on Artificial Intelligence ·Swagatam Das,Sankha Subhra Mullick,Ivan Zelinka	50
3	Do Preprocessing and Class Imbalance Matter to the Deep Image Classifiers for COVID-19 Detection? An Explainable Analysis 2022 ·IEEE Transactions on Artificial Intelligence ·(unknown),(unknown),Sankha Subhra Mullick,Swagatam Das	6
4	A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers 2021 ·Pattern Recognition ·Arka Ghosh,Sankha Subhra Mullick,Shounak Datta,Swagatam Das,Asit Kumar Das,Rammohan Mallipeddi	31
5	Appropriateness of performance indices for imbalanced data classification: An analysis 2020 ·Pattern Recognition ·Sankha Subhra Mullick,Shounak Datta,(unknown),Swagatam Das	52
6	Adaptive Learning-Based $k$ -Nearest Neighbor Classifiers With Resilience to Class Imbalance 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Sankha Subhra Mullick,Shounak Datta,Swagatam Das	98
7	On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier 2018 ·IEEE Transactions on Fuzzy Systems ·Imon Banerjee,Sankha Subhra Mullick,Swagatam Das	12
8	A switched parameter differential evolution with optional blending crossover for scalable numerical optimization 2017 ·Applied Soft Computing ·Arka Ghosh,Swagatam Das,Sankha Subhra Mullick,Rammohan Mallipeddi,Asit Kumar Das	40
9	Generalized mean based back-propagation of errors for ambiguity resolution 2017 ·Pattern Recognition Letters ·Shounak Datta,Sankha Subhra Mullick,Swagatam Das	1
10	A parameter independent fuzzy weighted k -Nearest neighbor classifier 2017 ·Pattern Recognition Letters ·(unknown),(unknown),Sankha Subhra Mullick,Swagatam Das	40
11	Recent advances in differential evolution – An updated surveybreakdown → 2016 ·Swarm and Evolutionary Computation ·Swagatam Das,Sankha Subhra Mullick,Ponnuthurai Nagaratnam Suganthan	1186

About Sankha Subhra Mullick

Sankha Subhra Mullick is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (567 citations), Artificial Intelligence (1.0k citations) and Computer Vision and Pattern Recognition (167 citations). Sankha Subhra Mullick has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Shounak Datta, Ivan Zelinka, Arka Ghosh, Rammohan Mallipeddi, Asit Kumar Das, Shounak Datta and Imon Banerjee. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Learning Systems.

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.

Explore authors with similar magnitude of impact