Sankha Subhra Mullick

11 papers and 1.4k indexed citations i.

About

Sankha Subhra Mullick is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sankha Subhra Mullick has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sankha Subhra Mullick’s work include Imbalanced Data Classification Techniques (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Evolutionary Algorithms and Applications (3 papers). Sankha Subhra Mullick is often cited by papers focused on Imbalanced Data Classification Techniques (5 papers), Anomaly Detection Techniques and Applications (4 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, Shounak Datta, Arka Ghosh, Asit Kumar Das and Rammohan Mallipeddi 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

Fields of papers citing papers by Sankha Subhra Mullick

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Sankha Subhra Mullick. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sankha Subhra Mullick may publish in the future.

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).

Rankless by CCL
2025