Rebika Rai

427 total citations
15 papers, 271 citations indexed

About

Rebika Rai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Rebika Rai has authored 15 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Media Technology. Recurrent topics in Rebika Rai's work include Metaheuristic Optimization Algorithms Research (11 papers), Evolutionary Algorithms and Applications (4 papers) and Medical Image Segmentation Techniques (3 papers). Rebika Rai is often cited by papers focused on Metaheuristic Optimization Algorithms Research (11 papers), Evolutionary Algorithms and Applications (4 papers) and Medical Image Segmentation Techniques (3 papers). Rebika Rai collaborates with scholars based in India, Singapore and Jordan. Rebika Rai's co-authors include Krishna Gopal Dhal, Arunita Das, Swarnajit Ray, Arunita Das, Tarun Kumar Ghosh, Ratika Pradhan, M. K. Ghose, Essam H. Houssein and Ruba Abu Khurma and has published in prestigious journals such as Neural Computing and Applications, Multimedia Tools and Applications and Archives of Computational Methods in Engineering.

In The Last Decade

Rebika Rai

12 papers receiving 265 citations

Peers

Rebika Rai
Rebika Rai
Citations per year, relative to Rebika Rai Rebika Rai (= 1×) peers Weimin Huang

Countries citing papers authored by Rebika Rai

Since Specialization
Citations

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

Fields of papers citing papers by Rebika Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebika Rai

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

All Works

15 of 15 papers shown
1.
Das, Arunita, et al.. (2025). Artificial hummingbird algorithm: Theory, variants, analysis, applications, and performance evaluation. Computer Science Review. 56. 100727–100727. 3 indexed citations
2.
Das, Arunita, et al.. (2025). Metaheuristic Algorithms Since 2020: Development, Taxonomy, Analysis, and Applications. Archives of Computational Methods in Engineering.
3.
Rai, Rebika, Krishna Gopal Dhal, Arunita Das, & Swarnajit Ray. (2023). An Inclusive Survey on Marine Predators Algorithm: Variants and Applications. Archives of Computational Methods in Engineering. 30(5). 3133–3172. 30 indexed citations
4.
Dhal, Krishna Gopal, et al.. (2023). A Comprehensive Survey on Arithmetic Optimization Algorithm. Archives of Computational Methods in Engineering. 30(5). 3379–3404. 45 indexed citations
5.
Dhal, Krishna Gopal, Swarnajit Ray, Rebika Rai, & Arunita Das. (2023). Archimedes Optimizer: Theory, Analysis, Improvements, and Applications. Archives of Computational Methods in Engineering. 30(4). 2543–2578. 19 indexed citations
6.
Dhal, Krishna Gopal, et al.. (2023). Chaotic fitness-dependent quasi-reflected Aquila optimizer for superpixel based white blood cell segmentation. Neural Computing and Applications. 35(21). 15315–15332. 13 indexed citations
7.
Rai, Rebika & Krishna Gopal Dhal. (2023). Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications. Archives of Computational Methods in Engineering. 30(6). 3791–3844. 25 indexed citations
8.
Rai, Rebika, et al.. (2023). A survey on recent trends in deep learning for nucleus segmentation from histopathology images. Evolving Systems. 15(1). 203–248. 44 indexed citations
9.
Dhal, Krishna Gopal, et al.. (2023). Fuzzy C-Means for image segmentation: challenges and solutions. Multimedia Tools and Applications. 83(9). 27935–27971. 4 indexed citations
10.
Rai, Rebika, Arunita Das, & Krishna Gopal Dhal. (2022). Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review. Evolving Systems. 13(6). 889–945. 46 indexed citations
11.
Rai, Rebika, Arunita Das, Swarnajit Ray, & Krishna Gopal Dhal. (2022). Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding. Archives of Computational Methods in Engineering. 29(7). 5313–5352. 30 indexed citations
12.
Dhal, Krishna Gopal, Arunita Das, Swarnajit Ray, Rebika Rai, & Tarun Kumar Ghosh. (2022). Archimedes optimizer-based fast and robust fuzzy clustering for noisy image segmentation. The Journal of Supercomputing. 79(4). 3691–3730. 8 indexed citations
13.
Rai, Rebika & Ratika Pradhan. (2013). Ant based Swarm Computing Techniques for Edge Detection of Images- A Brief Survey. 2 indexed citations
14.
Rai, Rebika, Ratika Pradhan, & M. K. Ghose. (2013). AASC: Advanced Ant Based Swarm Computing for Detection of Edges in Imagery.
15.
Rai, Rebika, Ratika Pradhan, & M. K. Ghose. (2012). Ant Based Swarm Computing for Image Classification - A Brief Survey. 17–21. 2 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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