Ranjeet Kumar Rout
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Molecular Biology
- Co-authors
- Saiyed UmerHari Mohan PandeyChiara PeroMichele NappiVipul SharmaM. TanveerBibhas Chandra DharaSk. Sarif Hassan
- Topics
- Machine Learning in Bioinformatics (15 papers)Face and Expression Recognition (11 papers)Emotion and Mood Recognition (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingExperimental and Cognitive Psychology
- Partner nations
- IndiaUnited KingdomSaudi Arabia
In The Last Decade
Ranjeet Kumar Rout
51 papers receiving 566 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 260
- Experimental and Cognitive Psychology 115
- Artificial Intelligence 113
- Signal Processing 96
- Molecular Biology 75
Countries citing papers authored by Ranjeet Kumar Rout
This map shows the geographic impact of Ranjeet Kumar Rout'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 Ranjeet Kumar Rout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjeet Kumar Rout more than expected).
Fields of papers citing papers by Ranjeet Kumar Rout
This network shows the impact of papers produced by Ranjeet Kumar Rout. 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 Ranjeet Kumar Rout. The network helps show where Ranjeet Kumar Rout may publish in the future.
Co-authorship network of co-authors of Ranjeet Kumar Rout
This figure shows the co-authorship network connecting the top 25 collaborators of Ranjeet Kumar Rout. A scholar is included among the top collaborators of Ranjeet Kumar Rout 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 Ranjeet Kumar Rout. Ranjeet Kumar Rout 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 | 12 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 0 | |
| 6 | 44 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | 19 | |
| 15 | 6 | |
| 16 | 12 | |
| 17 | 25 | |
| 18 | 7 | |
| 19 | 18 | |
| 20 | 55 |
About Ranjeet Kumar Rout
Ranjeet Kumar Rout is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Signal Processing, having authored 62 papers that have together received 591 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (15 papers), Face and Expression Recognition (11 papers) and Emotion and Mood Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Signal Processing (96 citations) and Experimental and Cognitive Psychology (115 citations). Ranjeet Kumar Rout has collaborated with scholars based in India, United Kingdom and Saudi Arabia. Frequent co-authors include Saiyed Umer, Hari Mohan Pandey, Chiara Pero, Michele Nappi, Vipul Sharma, M. Tanveer, Bibhas Chandra Dhara, Sk. Sarif Hassan, Kshira Sagar Sahoo and Muhammad Khurram Khan. Their work appears in journals such as Scientific Reports, BMC Bioinformatics and Neural Networks.
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.