Pratyusha Rakshit

1.2k total citations
69 papers, 754 citations indexed

About

Pratyusha Rakshit is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Pratyusha Rakshit has authored 69 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 15 papers in Cognitive Neuroscience. Recurrent topics in Pratyusha Rakshit's work include Metaheuristic Optimization Algorithms Research (24 papers), Evolutionary Algorithms and Applications (22 papers) and Advanced Multi-Objective Optimization Algorithms (15 papers). Pratyusha Rakshit is often cited by papers focused on Metaheuristic Optimization Algorithms Research (24 papers), Evolutionary Algorithms and Applications (22 papers) and Advanced Multi-Objective Optimization Algorithms (15 papers). Pratyusha Rakshit collaborates with scholars based in India, United Kingdom and United States. Pratyusha Rakshit's co-authors include Amit Konar, Atulya K. Nagar, Swagatam Das, Lakhmi C. Jain, Lakhmi C. Jain, Anca Ralescu, Sriparna Saha, Anuradha Saha, Eun‐jin Kim and José A. Lozano and has published in prestigious journals such as Scientific Reports, Information Sciences and Artificial Intelligence.

In The Last Decade

Pratyusha Rakshit

65 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pratyusha Rakshit India 13 435 216 163 115 89 69 754
Mohit Jain India 6 522 1.2× 234 1.1× 100 0.6× 132 1.1× 139 1.6× 9 1.0k
Douglas Rodrigues Brazil 14 685 1.6× 131 0.6× 224 1.4× 132 1.1× 98 1.1× 47 1.2k
Indranil Saha India 15 404 0.9× 305 1.4× 253 1.6× 129 1.1× 87 1.0× 50 1.1k
Souvik Kundu United States 19 671 1.5× 376 1.7× 124 0.8× 61 0.5× 73 0.8× 50 986
Anas A. Hadi Egypt 12 990 2.3× 558 2.6× 143 0.9× 120 1.0× 57 0.6× 20 1.4k
Kee-Eung Kim South Korea 16 565 1.3× 94 0.4× 144 0.9× 107 0.9× 115 1.3× 63 941
Kaoru Hirota Japan 16 272 0.6× 77 0.4× 328 2.0× 79 0.7× 39 0.4× 76 827
Anas Fattouh Sweden 13 263 0.6× 168 0.8× 48 0.3× 215 1.9× 62 0.7× 37 694
Bernhard Moser Austria 13 353 0.8× 172 0.8× 119 0.7× 97 0.8× 25 0.3× 58 672
Damian M. Lyons United States 14 373 0.9× 125 0.6× 416 2.6× 195 1.7× 37 0.4× 111 964

Countries citing papers authored by Pratyusha Rakshit

Since Specialization
Citations

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

Fields of papers citing papers by Pratyusha Rakshit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratyusha Rakshit

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

All Works

20 of 20 papers shown
1.
Rakshit, Pratyusha, et al.. (2021). A machine learning approach to predict healthcare cost of breast cancer patients. Scientific Reports. 11(1). 12441–12441. 9 indexed citations
2.
Konar, Amit, et al.. (2019). Mimicking Short-Term Memory in Shape-Reconstruction Task Using an EEG-Induced Type-2 Fuzzy Deep Brain Learning Network. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(4). 571–588. 8 indexed citations
3.
Rakshit, Pratyusha. (2019). Improved differential evolution for noisy optimization. Swarm and Evolutionary Computation. 52. 100628–100628. 14 indexed citations
4.
Rakshit, Pratyusha. (2019). Memory based self-adaptive sampling for noisy multi-objective optimization. Information Sciences. 511. 243–264. 4 indexed citations
5.
Rakshit, Pratyusha, et al.. (2019). Working memory modeling using inverse fuzzy relational approach. Applied Soft Computing. 83. 105591–105591. 5 indexed citations
6.
7.
Konar, Amit, et al.. (2018). Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(3). 245–260. 13 indexed citations
8.
Saha, Sriparna, Pratyusha Rakshit, & Amit Konar. (2018). Ballet E-learning using fuzzy set induced posture recognition by piece-wise linear approximation of connected components. Applied Soft Computing. 65. 554–576. 3 indexed citations
9.
Rakshit, Pratyusha, et al.. (2018). Prediction of Protein Complexes Using an Evolutionary Approach. 1056–1063. 1 indexed citations
10.
Konar, Amit, et al.. (2017). EEG induced working memory performance analysis using inverse fuzzy relational approach. 1–6. 3 indexed citations
11.
Rakshit, Pratyusha, et al.. (2017). Differential evolution induced many objective optimization. 2. 2240–2247. 2 indexed citations
12.
13.
Rakshit, Pratyusha, Amit Konar, & Atulya K. Nagar. (2016). Multi-robot box-pushing in presence of measurement noise. 2. 4926–4933. 2 indexed citations
14.
Rakshit, Pratyusha, Amit Konar, & Swagatam Das. (2016). Noisy evolutionary optimization algorithms – A comprehensive survey. Swarm and Evolutionary Computation. 33. 18–45. 98 indexed citations
15.
Rakshit, Pratyusha & Amit Konar. (2015). Non-dominated Sorting Bee Colony optimization in the presence of noise. Soft Computing. 20(3). 1139–1159. 9 indexed citations
16.
Rakshit, Pratyusha, et al.. (2015). Prediction of protein–protein interaction network using a multi-objective optimization approach. Journal of Bioinformatics and Computational Biology. 14(3). 1650008–1650008. 1 indexed citations
17.
Rakshit, Pratyusha & Amit Konar. (2015). Differential evolution for noisy multiobjective optimization. Artificial Intelligence. 227. 165–189. 22 indexed citations
18.
Rakshit, Pratyusha, et al.. (2013). Muti-objective evolutionary approach of ligand design for protein-ligand docking problem. 42. 237–244. 5 indexed citations
19.
Rakshit, Pratyusha, et al.. (2011). Multi-robot path-planning using artificial bee colony optimization algorithm. 219–224. 76 indexed citations
20.
Rakshit, Pratyusha, et al.. (2011). Navigational Path Planning of MultiRobot using Honey Bee Mating Optimization Algorithm 'HBMO'. International Journal of Computer Applications. 27(11). 1–8. 18 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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