Anima Pramanik

937 total citations
16 papers, 528 citations indexed

About

Anima Pramanik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Anima Pramanik has authored 16 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Anima Pramanik's work include Video Surveillance and Tracking Methods (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Rough Sets and Fuzzy Logic (3 papers). Anima Pramanik is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Rough Sets and Fuzzy Logic (3 papers). Anima Pramanik collaborates with scholars based in India, United Kingdom and Netherlands. Anima Pramanik's co-authors include J. Maiti, Pabitra Mitra, Sankar K. Pal, Sobhan Sarkar, Genserik Reniers, Harshvardhan, Chawki Djeddi, Phalguni Gupta, Sudip K. Sarker and Indranil Bose and has published in prestigious journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

In The Last Decade

Anima Pramanik

14 papers receiving 512 citations

Peers

Countries citing papers authored by Anima Pramanik

Since Specialization

Citations

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

Fields of papers citing papers by Anima Pramanik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anima Pramanik

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Real-time fall detection on roads using transfer learning-based granulated Bi-LSTM 2025 ·Knowledge-Based Systems ·Anima Pramanik, Sudip K. Sarker, Sobhan Sarkar, Sankar K. Pal	2
2	FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer’s Disease using MRI Scan Images 2024 ·Information Systems Frontiers ·Anima Pramanik, Sudip K. Sarker, Sobhan Sarkar, Indranil Bose	2
3	Video surveillance-based fall detection system using object-level feature thresholding and Z−numbers 2023 ·Knowledge-Based Systems ·Anima Pramanik, Sobhan Sarkar, Sankar K. Pal	5
4	An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis 2022 ·Neural Computing and Applications ·Sobhan Sarkar, (unknown), J. Maiti, Anima Pramanik	7
5	Deep Network-based Slow Feature Analysis for Human Fall Detection 2022 ·Anima Pramanik, (unknown), Sobhan Sarkar, Sankar K. Pal	0
6	Traffic Anomaly Detection and Video Summarization Using Spatio-Temporal Rough Fuzzy Granulation With Z-Numbers 2022 ·IEEE Transactions on Intelligent Transportation Systems ·Anima Pramanik, Sankar K. Pal, J. Maiti, Pabitra Mitra	15
7	Correction to: An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis 2022 ·Neural Computing and Applications ·Sobhan Sarkar, (unknown), (unknown), Anima Pramanik	0
8	An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction 2022 ·Engineering Applications of Artificial Intelligence ·Sobhan Sarkar, Anima Pramanik, J. Maiti	18
9	COVID-19 outbreak: A data-driven optimization model for allocation of patients 2021 ·Computers & Industrial Engineering ·Sobhan Sarkar, Anima Pramanik, J. Maiti, Genserik Reniers	13
10	Deep learning in multi-object detection and tracking: state of the art 2021 ·Applied Intelligence ·Sankar K. Pal, Anima Pramanik, J. Maiti, Pabitra Mitra	185
11	A real-time video surveillance system for traffic pre-events detection 2021 ·Accident Analysis & Prevention ·Anima Pramanik, Sobhan Sarkar, J. Maiti	48
12	Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking 2021 ·IEEE Transactions on Emerging Topics in Computational Intelligence ·Anima Pramanik, Sankar K. Pal, J. Maiti, Pabitra Mitra	101
13	RT-GSOM: Rough tolerance growing self-organizing map 2021 ·Information Sciences ·Anima Pramanik, Sobhan Sarkar, J. Maiti, Pabitra Mitra	15
14	Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data 2020 ·Safety Science ·Sobhan Sarkar, Anima Pramanik, J. Maiti, Genserik Reniers	105
15	Region proposal and object detection using HoG-based CNN feature map 2020 ·Anima Pramanik, Harshvardhan, Chawki Djeddi, Sobhan Sarkar, J. Maiti	7
16	A Novel Feature Extraction-based Human Identification Approach using 2D Ear Biometric 2018 ·Anima Pramanik, (unknown), Sobhan Sarkar, Phalguni Gupta	5

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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