Pranesh Das

431 total citations
13 papers, 273 citations indexed

About

Pranesh Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Pranesh Das has authored 13 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Pranesh Das's work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Clustering Algorithms Research (5 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Pranesh Das is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Advanced Clustering Algorithms Research (5 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Pranesh Das collaborates with scholars based in India, Italy and Australia. Pranesh Das's co-authors include Dushmanta Kumar Das, Pabitra Mohan Khilar, Rajdeep Ghosh, Nabamita Deb, Nidul Sinha, Souvik Phadikar, Ebrahim Ghaderpour, Suyel Namasudra and K. P. Santhosh and has published in prestigious journals such as Applied Soft Computing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Sensors Journal.

In The Last Decade

Pranesh Das

12 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranesh Das India 7 85 59 53 50 37 13 273
Tuomo Sipola Finland 9 104 1.2× 45 0.8× 79 1.5× 18 0.4× 19 0.5× 24 251
Jinbao Li China 11 92 1.1× 63 1.1× 99 1.9× 33 0.7× 10 0.3× 41 350
Veena Desai India 9 61 0.7× 89 1.5× 48 0.9× 63 1.3× 14 0.4× 36 276
Shingchern D. You Taiwan 10 65 0.8× 41 0.7× 56 1.1× 55 1.1× 20 0.5× 57 290
Anmol Gupta India 9 101 1.2× 103 1.7× 60 1.1× 22 0.4× 17 0.5× 22 289
Diego Peteiro-Barral Spain 8 150 1.8× 25 0.4× 55 1.0× 30 0.6× 14 0.4× 15 296
M. Premkumar India 10 100 1.2× 95 1.6× 127 2.4× 55 1.1× 17 0.5× 28 326
Yanan Chen China 10 51 0.6× 28 0.5× 33 0.6× 22 0.4× 40 1.1× 34 279
Rajashri Khanai India 9 72 0.8× 41 0.7× 118 2.2× 77 1.5× 10 0.3× 45 283
Vijay Kumar Bohat India 11 98 1.2× 88 1.5× 38 0.7× 46 0.9× 14 0.4× 18 422

Countries citing papers authored by Pranesh Das

Since Specialization
Citations

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

Fields of papers citing papers by Pranesh Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranesh Das

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

All Works

13 of 13 papers shown
1.
Santhosh, K. P., et al.. (2025). A modified Gray Wolf Optimization algorithm for early detection of Parkinson’s Disease. Biomedical Signal Processing and Control. 109. 108061–108061. 3 indexed citations
2.
Das, Pranesh, et al.. (2025). An automated incremental density-based clustering approach using unsupervised deep learning and multi-objective optimization. Computers & Electrical Engineering. 123. 110109–110109. 2 indexed citations
3.
Das, Pranesh, et al.. (2024). ReFLIP-VAD: Towards Weakly Supervised Video Anomaly Detection via Vision-Language Model. IEEE Transactions on Circuits and Systems for Video Technology. 1–1. 1 indexed citations
4.
Das, Pranesh, et al.. (2023). SCEOMOO: A novel Subspace Clustering approach using Evolutionary algorithm, Off-spring generation and Multi-Objective Optimization. Applied Soft Computing. 139. 110185–110185. 9 indexed citations
5.
Das, Pranesh, et al.. (2023). Statistically aided Binary Multi-Objective Grey Wolf Optimizer: a new feature selection approach for classification. The Journal of Supercomputing. 79(12). 12869–12901. 6 indexed citations
6.
Ghosh, Rajdeep, Souvik Phadikar, Nabamita Deb, et al.. (2023). Automatic Eyeblink and Muscular Artifact Detection and Removal From EEG Signals Using k-Nearest Neighbor Classifier and Long Short-Term Memory Networks. IEEE Sensors Journal. 23(5). 5422–5436. 56 indexed citations
8.
Das, Pranesh, et al.. (2018). A New Class Topper Optimization Algorithm with an Application to Data Clustering. IEEE Transactions on Emerging Topics in Computing. 1–1. 82 indexed citations
9.
Das, Pranesh, et al.. (2018). A modified Bee Colony Optimization (MBCO) and its hybridization with k-means for an application to data clustering. Applied Soft Computing. 70. 590–603. 46 indexed citations
10.
Das, Pranesh, et al.. (2017). PSO, BCO and K-means Based Hybridized Optimization Algorithms for Data Clustering. 1. 252–257. 1 indexed citations
12.
Das, Pranesh & Pabitra Mohan Khilar. (2013). VFT: A virtualization and fault tolerance approach for cloud computing. 473–478. 34 indexed citations
13.
Das, Pranesh & Pabitra Mohan Khilar. (2013). A Randomized Searching Algorithm and its Performance analysis with Binary Search and Linear Search Algorithms. 6 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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