Nibedan Panda

477 total citations
28 papers, 233 citations indexed

About

Nibedan Panda is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Nibedan Panda has authored 28 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 7 papers in Computational Theory and Mathematics. Recurrent topics in Nibedan Panda's work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Machine Learning and ELM (6 papers). Nibedan Panda is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Machine Learning and ELM (6 papers). Nibedan Panda collaborates with scholars based in India, Singapore and Sweden. Nibedan Panda's 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 and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Multimedia Tools and Applications.

In The Last Decade

Nibedan Panda

25 papers receiving 227 citations

Peers

Nibedan Panda
Ghaith Manita Tunisia
Arturo Valdivia Mexico
Ruo-Bin Wang China
Keyvan Golalipour Iran
Qingke Zhang China
Archana Sarangi India
Nazar K. Hussein Iraq
Rui Zhong Japan
Shuhao Yu China
Ghaith Manita Tunisia
Nibedan Panda
Citations per year, relative to Nibedan Panda Nibedan Panda (= 1×) peers Ghaith Manita

Countries citing papers authored by Nibedan Panda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Panda, Nibedan, et al.. (2025). Advancements in Healthcare Medical Imaging through SHO optimized CNN. Procedia Computer Science. 258. 4128–4135. 2 indexed citations
2.
Panda, Nibedan, et al.. (2025). DiagPCNN: Enhancing CNN through Pretrained Model for Brain Tumor Diagnosis. Procedia Computer Science. 258. 2334–2342.
3.
Panda, Nibedan, et al.. (2025). Automated Healthcare Medical Imaging through EOA Optimized Hyperparameter in CNN. Procedia Computer Science. 259. 1106–1114. 1 indexed citations
4.
Panda, Nibedan, et al.. (2025). Improved salp swarm algorithm-driven deep CNN for brain tumor analysis. Scientific Reports. 15(1). 24645–24645.
5.
6.
Mahapatra, Ajit Kumar, Nibedan Panda, & Binod Kumar Pattanayak. (2024). Adaptive dimensional search-based orthogonal experimentation SSA (ADOX-SSA) for training RBF neural network and optimal feature selection. The Journal of Supercomputing. 81(1). 4 indexed citations
7.
Mahapatra, Ajit Kumar, Nibedan Panda, & Binod Kumar Pattanayak. (2024). Quantized Orthogonal Experimentation SSA (QOX-SSA): A Hybrid Technique for Feature Selection (FS) and Neural Network Training. Arabian Journal for Science and Engineering. 50(2). 1025–1056. 6 indexed citations
8.
Mahapatra, Ajit Kumar, et al.. (2024). A fast-flying particle swarm optimization for resolving constrained optimization and feature selection problems. Cluster Computing. 28(2). 5 indexed citations
9.
Ramana, B. V., et al.. (2024). Leveraging LSTM and Multinomial Naive Bayes for Nuanced Textual-Based Sentiment Analysis. SN Computer Science. 5(8). 4 indexed citations
10.
Majhi, Santosh Kumar, et al.. (2023). A MapReduce hybridized spotted hyena optimizer algorithm for travelling salesman problem. International Journal of Information Technology. 15(7). 3873–3887. 2 indexed citations
11.
Mahapatra, Ajit Kumar, Nibedan Panda, & Binod Kumar Pattanayak. (2023). Quantized Salp Swarm Algorithm (QSSA) for optimal feature selection. International Journal of Information Technology. 15(2). 725–734. 14 indexed citations
12.
Mahapatra, Ajit Kumar, Nibedan Panda, & Binod Kumar Pattanayak. (2023). An improved pathfinder algorithm (ASDR-PFA) based on adaptation of search dimensional ratio for solving global optimization problems and optimal feature selection. Progress in Artificial Intelligence. 12(4). 323–348. 5 indexed citations
13.
14.
Sahu, S., et al.. (2023). An Improved Chaotic Grey Wolf Optimization Algorithm (CGWO). International Journal on Recent and Innovation Trends in Computing and Communication. 11(11s). 341–348. 3 indexed citations
15.
Panda, Nibedan, et al.. (2023). Application of deep convolutional neural network for facial appearance recognition. AIP conference proceedings. 2819. 30012–30012. 1 indexed citations
16.
Panda, Nibedan, Santosh Kumar Majhi, & Rosy Pradhan. (2022). A Hybrid Approach of Spotted Hyena Optimization Integrated with Quadratic Approximation for Training Wavelet Neural Network. Arabian Journal for Science and Engineering. 47(8). 10347–10363. 14 indexed citations
17.
Ramana, B. V., et al.. (2022). Supervised Machine Learning Approaches for Medical Data Classification. 1–8. 2 indexed citations
18.
Mahapatra, Ajit Kumar, Nibedan Panda, & Binod Kumar Pattanayak. (2022). Hybrid PSO (SGPSO) with the Incorporation of Discretization Operator for Training RBF Neural Network and Optimal Feature Selection. Arabian Journal for Science and Engineering. 48(8). 9991–10019. 16 indexed citations
19.
Panda, Nibedan & Santosh Kumar Majhi. (2020). Improved spotted hyena optimizer with space transformational search for training pi‐sigma higher order neural network. Computational Intelligence. 36(1). 320–350. 30 indexed citations
20.
Panda, Nibedan, et al.. (2020). Oppositional spotted hyena optimizer with mutation operator for global optimization and application in training wavelet neural network. Journal of Intelligent & Fuzzy Systems. 38(5). 6677–6690. 15 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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