Saroj Kumar Pradhan
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Dayal R. ParhiAnup Kumar PandaPradipta Kumar DasH. S. BeheraSwagatam DasRabindra Kumar BeheraHrudaya Kumar TripathyBijaya Ketan Panigrahi
- Topics
- Robotic Path Planning Algorithms (14 papers)Control and Dynamics of Mobile Robots (7 papers)Metaheuristic Optimization Algorithms Research (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringArtificial Intelligence
- Partner nations
- India
In The Last Decade
Saroj Kumar Pradhan
18 papers receiving 426 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 328
- Control and Systems Engineering 205
- Artificial Intelligence 141
- Aerospace Engineering 105
- Computer Networks and Communications 75
Countries citing papers authored by Saroj Kumar Pradhan
This map shows the geographic impact of Saroj Kumar Pradhan'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 Pradhan 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 Pradhan more than expected).
Fields of papers citing papers by Saroj Kumar Pradhan
This network shows the impact of papers produced by Saroj Kumar Pradhan. 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 Pradhan. The network helps show where Saroj Kumar Pradhan may publish in the future.
Co-authorship network of co-authors of Saroj Kumar Pradhan
This figure shows the co-authorship network connecting the top 25 collaborators of Saroj Kumar Pradhan. A scholar is included among the top collaborators of Saroj Kumar Pradhan 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 Pradhan. Saroj Kumar Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 19 | |
| 5 | 27 | |
| 6 | 113 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 116 | |
| 13 | 26 | |
| 14 | 13 | |
| 15 | 21 | |
| 16 | 33 | |
| 17 | 1 | |
| 18 | 26 |
About Saroj Kumar Pradhan
Saroj Kumar Pradhan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 18 papers that have together received 449 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Control and Dynamics of Mobile Robots (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (328 citations), Control and Systems Engineering (205 citations) and Artificial Intelligence (141 citations). Saroj Kumar Pradhan has collaborated with scholars based in India. Frequent co-authors include Dayal R. Parhi, Anup Kumar Panda, Pradipta Kumar Das, H. S. Behera, Swagatam Das, Rabindra Kumar Behera, Hrudaya Kumar Tripathy, Bijaya Ketan Panigrahi, Tarapada Roy and Rojalina Priyadarshini. Their work appears in journals such as Neurocomputing, Applied Soft Computing and Applied Intelligence.
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.