Manoj Kumar Naik
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Rutuparna PandaAjith AbrahamBijaya Ketan PanigrahiMonorama SwainSanjay AgrawalRishi SikkaSumit AgrawalAjit R. Kulkarni
- Topics
- Metaheuristic Optimization Algorithms Research (12 papers)Medical Image Segmentation Techniques (8 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessBiochemical Pharmacology
- Partner nations
- IndiaUnited StatesRussia
In The Last Decade
Manoj Kumar Naik
30 papers receiving 687 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 371
- Computer Vision and Pattern Recognition 245
- Computational Theory and Mathematics 123
- Electrical and Electronic Engineering 95
- Biomedical Engineering 94
Countries citing papers authored by Manoj Kumar Naik
This map shows the geographic impact of Manoj Kumar Naik'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 Manoj Kumar Naik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Kumar Naik more than expected).
Fields of papers citing papers by Manoj Kumar Naik
This network shows the impact of papers produced by Manoj Kumar Naik. 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 Manoj Kumar Naik. The network helps show where Manoj Kumar Naik may publish in the future.
Co-authorship network of co-authors of Manoj Kumar Naik
This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Kumar Naik. A scholar is included among the top collaborators of Manoj Kumar Naik 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 Manoj Kumar Naik. Manoj Kumar Naik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 42 | |
| 11 | 32 | |
| 12 | 75 | |
| 13 | 53 | |
| 14 | 33 | |
| 15 | 54 | |
| 16 | 52 | |
| 17 | 0 | |
| 18 | 48 | |
| 19 | 25 | |
| 20 | 7 |
About Manoj Kumar Naik
Manoj Kumar Naik is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 32 papers that have together received 707 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Medical Image Segmentation Techniques (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (245 citations), Artificial Intelligence (371 citations) and Computational Theory and Mathematics (123 citations). Manoj Kumar Naik has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Rutuparna Panda, Ajith Abraham, Bijaya Ketan Panigrahi, Monorama Swain, Sanjay Agrawal, Rishi Sikka, Sumit Agrawal, Ajit R. Kulkarni, Shilpa Pathak and Atul Joshi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Biochemical Pharmacology.
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.