Saroj Kumar Sahoo
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Co-authors
- Apu Kumar SahaSukanta NamaSushmita SharmaSanjoy ChakrabortyMohammad MasdariMarwa M. EmamEssam H. HousseinM. Premkumar
- Topics
- Metaheuristic Optimization Algorithms Research (9 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
In The Last Decade
Saroj Kumar Sahoo
11 papers receiving 398 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 268
- Computational Theory and Mathematics 141
- Computer Vision and Pattern Recognition 60
- Electrical and Electronic Engineering 57
- Control and Systems Engineering 52
Countries citing papers authored by Saroj Kumar Sahoo
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 44 | |
| 4 | 20 | |
| 5 | 24 | |
| 6 | 73 | |
| 7 | 24 | |
| 8 | 24 | |
| 9 | 56 | |
| 10 | 45 | |
| 11 | 71 |
About Saroj Kumar Sahoo
Saroj Kumar Sahoo is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Modeling and Simulation, having authored 11 papers that have together received 400 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (141 citations), Artificial Intelligence (268 citations) and Industrial and Manufacturing Engineering (34 citations). Saroj Kumar Sahoo has collaborated with scholars based in India, Egypt and Australia. Frequent 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 Anas Ratib Alsoud. Their work appears in journals such as Expert Systems with Applications, Neural Computing and Applications and Artificial Intelligence Review.
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.