Pranesh Das
Impact in
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- EEG and Brain-Computer Interfaces
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- Metaheuristic Optimization Algorithms Research
- Advanced Clustering Algorithms Research
Papers in
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- Metaheuristic Optimization Algorithms Research 6
- Advanced Clustering Algorithms Research 5
- Data Stream Mining Techniques 1
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- Face and Expression Recognition 2
- Co-authors
- Dushmanta Kumar Das (4 shared papers)Pabitra Mohan Khilar (2 shared papers)Nidul Sinha (2 shared papers)Nabamita Deb (2 shared papers)Souvik Phadikar (2 shared papers)Rajdeep Ghosh (2 shared papers)Ebrahim Ghaderpour (2 shared papers)Suyel Namasudra (1 shared paper)
In The Last Decade
Pranesh Das
12 papers receiving 263 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 59
- Artificial Intelligence 85
- Signal Processing 26
- Computer Networks and Communications 53
- Human-Computer Interaction 10
Countries citing papers authored by Pranesh Das
This map shows the geographic impact of Pranesh Das'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 Pranesh Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranesh Das more than expected).
Fields of papers citing papers by Pranesh Das
This network shows the impact of papers produced by Pranesh Das. 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 Pranesh Das. The network helps show where Pranesh Das may publish in the future.
Co-authors
The 9 scholars most cited alongside Pranesh Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2023 | 56 | |
| 3 | 2018 | 46 | |
| 4 | 2013 | 34 | |
| 5 | 2022 | 27 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 6 | |
| 8 | A Randomized Searching Algorithm and its Performance analysis with Binary Search and Linear Search Algorithms | 2013 | 6 |
| 9 | 2025 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 0 |
About Pranesh Das
Pranesh Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering and Cognitive Neuroscience, having authored 13 papers that have together received 273 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Clustering Algorithms Research (5 papers), Face and Expression Recognition (2 papers), EEG and Brain-Computer Interfaces (2 papers), Artificial Immune Systems Applications (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Data Stream Mining Techniques (1 paper) and Gaze Tracking and Assistive Technology (1 paper). The work is most often cited by research in Cognitive Neuroscience (59 citations), Artificial Intelligence (85 citations), Signal Processing (26 citations), Computer Networks and Communications (53 citations) and Human-Computer Interaction (10 citations). Pranesh Das has collaborated with scholars based in India, Italy and Australia. Frequent co-authors include Dushmanta Kumar Das, Pabitra Mohan Khilar, Nidul Sinha, Nabamita Deb, Souvik Phadikar, Rajdeep Ghosh, Ebrahim Ghaderpour, Suyel Namasudra and K. P. Santhosh. Their work appears in journals such as Applied Soft Computing, Computers & Electrical Engineering, Data in Brief, Biomedical Signal Processing and Control and IEEE Transactions on Emerging Topics in Computing.
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.