Arunita Das

600 total citations
21 papers, 395 citations indexed

About

Arunita Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Arunita Das has authored 21 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Plant Science. Recurrent topics in Arunita Das's work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Smart Agriculture and AI (5 papers). Arunita Das is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Smart Agriculture and AI (5 papers). Arunita Das collaborates with scholars based in India, Jordan and Mexico. Arunita Das's co-authors include Krishna Gopal Dhal, Swarnajit Ray, Jorge Gálvez, Sanjoy Das, Abdelazim G. Hussien, Rebika Rai, Prabir Kumar Naskar, Tarun Kumar Ghosh, Laith Abualigah and Ruba Abu Khurma and has published in prestigious journals such as Scientific Reports, Knowledge-Based Systems and Neural Computing and Applications.

In The Last Decade

Arunita Das

20 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arunita Das India 11 196 148 47 46 37 21 395
Erick Rodrí­guez-Esparza Mexico 7 131 0.7× 131 0.9× 45 1.0× 46 1.0× 37 1.0× 20 350
Radwa Marzouk Saudi Arabia 14 142 0.7× 131 0.9× 26 0.6× 18 0.4× 28 0.8× 58 478
Seyyid Ahmed Medjahed Algeria 7 175 0.9× 97 0.7× 113 2.4× 25 0.5× 21 0.6× 16 421
Rameswar Debnath Bangladesh 11 130 0.7× 184 1.2× 35 0.7× 13 0.3× 30 0.8× 38 430
Yi Fan China 7 253 1.3× 101 0.7× 41 0.9× 70 1.5× 10 0.3× 14 430
Kangjian Sun China 11 218 1.1× 134 0.9× 53 1.1× 87 1.9× 6 0.2× 17 379
Baljit Singh Khehra India 11 117 0.6× 167 1.1× 59 1.3× 12 0.3× 96 2.6× 40 453
Valentín Osuna-Enciso Mexico 11 162 0.8× 204 1.4× 84 1.8× 64 1.4× 6 0.2× 23 434
Masanori Suganuma Japan 8 379 1.9× 400 2.7× 82 1.7× 31 0.7× 11 0.3× 25 711
Mohamed Ettaouil Morocco 11 214 1.1× 116 0.8× 20 0.4× 13 0.3× 11 0.3× 58 410

Countries citing papers authored by Arunita Das

Since Specialization
Citations

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

Fields of papers citing papers by Arunita Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunita Das

This figure shows the co-authorship network connecting the top 25 collaborators of Arunita Das. A scholar is included among the top collaborators of Arunita 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 Arunita Das. Arunita Das 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.
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.. (2024). Particle Swarm Optimizer Variants for Multi-level Thresholding: Theory, Performance Enhancement and Evaluation. Archives of Computational Methods in Engineering. 31(5). 3115–3150. 7 indexed citations
3.
Dhal, Krishna Gopal, et al.. (2024). A CNN-based model to count the leaves of rosette plants (LC-Net). Scientific Reports. 14(1). 1496–1496. 5 indexed citations
4.
Das, Arunita, et al.. (2024). A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases. Data in Brief. 55. 110763–110763. 1 indexed citations
5.
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
6.
Hussien, Abdelazim G., et al.. (2023). Reptile Search Algorithm: Theory, Variants, Applications, and Performance Evaluation. Archives of Computational Methods in Engineering. 31(1). 521–549. 28 indexed citations
7.
Hussien, Abdelazim G., et al.. (2023). A Comprehensive Survey on Aquila Optimizer. Archives of Computational Methods in Engineering. 30(7). 4449–4476. 46 indexed citations
8.
Dhal, Krishna Gopal, et al.. (2023). Eagle Strategy in Nature-Inspired Optimization: Theory, Analysis, Applications, and Comparative Study. Archives of Computational Methods in Engineering. 31(3). 1213–1232. 15 indexed citations
9.
Das, Arunita, et al.. (2023). A Comprehensive Survey on African Vulture Optimization Algorithm. Archives of Computational Methods in Engineering. 31(3). 1659–1700. 14 indexed citations
10.
Das, Arunita, et al.. (2022). A Comparative Study among Clustering Techniques for Leaf Segmentation in Rosette Plants. Pattern Recognition and Image Analysis. 32(1). 129–141. 4 indexed citations
11.
Ray, Swarnajit, Arunita Das, Krishna Gopal Dhal, Jorge Gálvez, & Prabir Kumar Naskar. (2022). Whale Optimizer-Based Clustering for Breast Histopathology Image Segmentation. International Journal of Swarm Intelligence Research. 13(1). 1–29. 4 indexed citations
12.
Das, Arunita, et al.. (2022). LS-Net: a convolutional neural network for leaf segmentation of rosette plants. Neural Computing and Applications. 34(21). 18511–18524. 13 indexed citations
13.
Das, Arunita, Krishna Gopal Dhal, Swarnajit Ray, Jorge Gálvez, & Sanjoy Das. (2022). Fitness based weighted flower pollination algorithm with mutation strategies for image enhancement. Multimedia Tools and Applications. 81(20). 28955–28986. 6 indexed citations
14.
Dhal, Krishna Gopal, Arunita Das, & Jorge Gálvez. (2021). A Novel Fuzzy Logic-Based Improved Cuckoo Search Algorithm. International Journal of Applied Metaheuristic Computing. 13(1). 1–29. 6 indexed citations
15.
Ray, Swarnajit, et al.. (2021). Cuckoo search with differential evolution mutation and Masi entropy for multi-level image segmentation. Multimedia Tools and Applications. 81(3). 4073–4117. 16 indexed citations
16.
Das, Arunita, et al.. (2021). Leaf Segmentation of Rosette Plants using Rough K-Means in CIELab Color Space. 19–24. 1 indexed citations
17.
Dhal, Krishna Gopal, Arunita Das, Swarnajit Ray, & Jorge Gálvez. (2021). Randomly Attracted Rough Firefly Algorithm for histogram based fuzzy image clustering. Knowledge-Based Systems. 216. 106814–106814. 48 indexed citations
18.
Dhal, Krishna Gopal, Swarnajit Ray, Arunita Das, Jorge Gálvez, & Sanjoy Das. (2019). Fuzzy Multi-level Color Satellite Image Segmentation Using Nature-Inspired Optimizers: A Comparative Study. Journal of the Indian Society of Remote Sensing. 47(8). 1391–1415. 15 indexed citations
19.
Dhal, Krishna Gopal, Arunita Das, Swarnajit Ray, Jorge Gálvez, & Sanjoy Das. (2019). Nature-Inspired Optimization Algorithms and Their Application in Multi-Thresholding Image Segmentation. Archives of Computational Methods in Engineering. 27(3). 855–888. 99 indexed citations
20.
Dhal, Krishna Gopal, et al.. (2019). Measuring the curse of population size over swarm intelligence based algorithms. Evolving Systems. 12(3). 779–826. 19 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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