Saroj Kumar Sahoo

541 total citations
11 papers, 400 citations indexed

About

Saroj Kumar Sahoo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Saroj Kumar Sahoo has authored 11 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 3 papers in Control and Systems Engineering. Recurrent topics in Saroj Kumar Sahoo's work include Metaheuristic Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (3 papers). Saroj Kumar Sahoo is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (3 papers). Saroj Kumar Sahoo collaborates with scholars based in India, Egypt and Australia. Saroj Kumar Sahoo's co-authors include Apu Kumar Saha, Sukanta Nama, Sushmita Sharma, Sanjoy Chakraborty, Mohammad Masdari, Marwa M. Emam, Essam H. Houssein, M. Premkumar, Absalom E. Ezugwu and Belal Abuhaija and has published in prestigious journals such as Expert Systems with Applications, Neural Computing and Applications and Artificial Intelligence Review.

In The Last Decade

Saroj Kumar Sahoo

11 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saroj Kumar Sahoo India 10 268 141 60 57 52 11 400
Bernardo Morales-Castañeda Mexico 10 400 1.5× 216 1.5× 76 1.3× 51 0.9× 47 0.9× 22 580
Dongdong Yang China 11 310 1.2× 182 1.3× 46 0.8× 60 1.1× 59 1.1× 23 484
Binping Zhao China 5 190 0.7× 79 0.6× 57 0.9× 46 0.8× 56 1.1× 6 356
Lingjie Li China 12 247 0.9× 131 0.9× 41 0.7× 41 0.7× 55 1.1× 33 418
Mei-qing An China 10 310 1.2× 139 1.0× 50 0.8× 49 0.9× 66 1.3× 13 442
Sait Ali Uymaz Türkiye 9 283 1.1× 140 1.0× 59 1.0× 46 0.8× 28 0.5× 17 424
Vladimir Stanovov Russia 13 364 1.4× 229 1.6× 30 0.5× 81 1.4× 56 1.1× 66 605
Ahmet Babalık Türkiye 7 191 0.7× 114 0.8× 31 0.5× 43 0.8× 37 0.7× 17 321
Yinan Guo China 10 332 1.2× 119 0.8× 114 1.9× 46 0.8× 95 1.8× 40 546

Countries citing papers authored by Saroj Kumar Sahoo

Since Specialization
Citations

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

Fields of papers citing papers by Saroj Kumar Sahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saroj Kumar Sahoo. 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 Saroj Kumar Sahoo. The network helps show where Saroj Kumar Sahoo may publish in the future.

Co-authorship network of co-authors of Saroj Kumar Sahoo

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

All Works

11 of 11 papers shown
1.
Sharma, Sushmita, Apu Kumar Saha, Sanjoy Chakraborty, Suman Deb, & Saroj Kumar Sahoo. (2024). Quadratic and Lagrange interpolation-based butterfly optimization algorithm for numerical optimization and engineering design problem. Soft Computing. 29(1). 157–194. 1 indexed citations
2.
Sahoo, Saroj Kumar, et al.. (2024). An arithmetic and geometric mean-based multi-objective moth-flame optimization algorithm. Cluster Computing. 27(5). 6527–6561. 18 indexed citations
3.
Sahoo, Saroj Kumar, Essam H. Houssein, M. Premkumar, Apu Kumar Saha, & Marwa M. Emam. (2023). Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation. Expert Systems with Applications. 227. 120367–120367. 44 indexed citations
4.
Sahoo, Saroj Kumar, Sushmita Sharma, & Apu Kumar Saha. (2023). A Novel Variant of Moth Flame Optimizer for Higher Dimensional Optimization Problems. Journal of Bionic Engineering. 20(5). 2389–2415. 24 indexed citations
5.
Sahoo, Saroj Kumar, et al.. (2023). Multi-objective quasi-reflection learning and weight strategy-based moth flame optimization algorithm. Neural Computing and Applications. 36(8). 4229–4261. 20 indexed citations
6.
Chakraborty, Sanjoy, et al.. (2022). Comparative Performance Analysis of Differential Evolution Variants on Engineering Design Problems. Journal of Bionic Engineering. 19(4). 1140–1160. 24 indexed citations
7.
Sahoo, Saroj Kumar, Apu Kumar Saha, Sushmita Sharma, Seyedali Mirjalili, & Sanjoy Chakraborty. (2022). An enhanced moth flame optimization with mutualism scheme for function optimization. Soft Computing. 26(6). 2855–2882. 24 indexed citations
8.
Sharma, Sushmita, Sanjoy Chakraborty, Apu Kumar Saha, Sukanta Nama, & Saroj Kumar Sahoo. (2022). mLBOA: A Modified Butterfly Optimization Algorithm with Lagrange Interpolation for Global Optimization. Journal of Bionic Engineering. 19(4). 1161–1176. 73 indexed citations
9.
Sahoo, Saroj Kumar & Apu Kumar Saha. (2022). A Hybrid Moth Flame Optimization Algorithm for Global Optimization. Journal of Bionic Engineering. 19(5). 1522–1543. 56 indexed citations
10.
Sahoo, Saroj Kumar, Apu Kumar Saha, Absalom E. Ezugwu, et al.. (2022). Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications. Archives of Computational Methods in Engineering. 30(1). 391–426. 45 indexed citations
11.
Sahoo, Saroj Kumar, Apu Kumar Saha, Sukanta Nama, & Mohammad Masdari. (2022). An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy. Artificial Intelligence Review. 56(4). 2811–2869. 71 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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