Nibedan Panda
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Control and Systems Engineering
- Industrial and Manufacturing Engineering top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Santosh Kumar MajhiAjit Kumar MahapatraBinod Kumar PattanayakRosy PradhanAbhirup KhannaAmiya Kumar RathHitesh MohapatraB. V. Ramana
- Topics
- Metaheuristic Optimization Algorithms Research (13 papers)Advanced Multi-Objective Optimization Algorithms (6 papers)Machine Learning and ELM (6 papers)
In The Last Decade
Nibedan Panda
25 papers receiving 227 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 164
- Computational Theory and Mathematics 41
- Control and Systems Engineering 40
- Industrial and Manufacturing Engineering 33
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Nibedan Panda
This map shows the geographic impact of Nibedan Panda'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 Nibedan Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nibedan Panda more than expected).
Fields of papers citing papers by Nibedan Panda
This network shows the impact of papers produced by Nibedan Panda. 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 Nibedan Panda. The network helps show where Nibedan Panda may publish in the future.
Co-authorship network of co-authors of Nibedan Panda
This figure shows the co-authorship network connecting the top 25 collaborators of Nibedan Panda. A scholar is included among the top collaborators of Nibedan Panda 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 Nibedan Panda. Nibedan Panda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | 30 | |
| 20 | 15 |
About Nibedan Panda
Nibedan Panda is a scholar working on Artificial Intelligence, Neurology and Computational Theory and Mathematics, having authored 28 papers that have together received 233 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Machine Learning and ELM (6 papers). The work is most often cited by research in Artificial Intelligence (164 citations), Industrial and Manufacturing Engineering (33 citations) and Neurology (23 citations). Nibedan Panda has collaborated with scholars based in India, Singapore and Sweden. Frequent co-authors include Santosh Kumar Majhi, Ajit Kumar Mahapatra, Binod Kumar Pattanayak, Rosy Pradhan, Abhirup Khanna, Amiya Kumar Rath, Hitesh Mohapatra, B. V. Ramana, Debabrata Singh and S. Sahu. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and Multimedia Tools and Applications.
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.