Prateep Misra
Impact in
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- Digital Transformation in Industry
- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
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- IoT and Edge/Fog Computing
Papers in
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- IoT and Edge/Fog Computing 3
- Advanced Database Systems and Queries 2
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- Context-Aware Activity Recognition Systems 3
- Co-authors
- Arpan Pal (4 shared papers)Debasish Mishra (2 shared papers)Debashish Chakravarty (2 shared papers)Surjya K. Pal (2 shared papers)Tapas Chakravarty (2 shared papers)Sudip Misra (2 shared papers)M Girish Chandra (1 shared paper)S. Dey (2 shared papers)
In The Last Decade
Prateep Misra
15 papers receiving 316 citations
Peers
Comparison fields: 5 of 59
- Industrial and Manufacturing Engineering 90
- Computer Networks and Communications 75
- Computer Vision and Pattern Recognition 60
- Mechanical Engineering 87
- Management Information Systems 19
Countries citing papers authored by Prateep Misra
This map shows the geographic impact of Prateep Misra'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 Prateep Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prateep Misra more than expected).
Fields of papers citing papers by Prateep Misra
This network shows the impact of papers produced by Prateep Misra. 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 Prateep Misra. The network helps show where Prateep Misra may publish in the future.
Co-authors
The 15 scholars most cited alongside Prateep Misra, 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 | 2020 | 95 | |
| 2 | 2020 | 81 | |
| 3 | 2012 | 37 | |
| 4 | Software Platforms for Internet of Things and M2M | 2013 | 34 |
| 5 | 2012 | 25 | |
| 6 | 2013 | 12 | |
| 7 | 2011 | 10 | |
| 8 | 2013 | 9 | |
| 9 | 2012 | 8 | |
| 10 | Back to Green | 2010 | 5 |
| 11 | 2011 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2010 | 3 | |
| 14 | 2012 | 1 | |
| 15 | Real Time Telecom Revenue Assurance | 2012 | 1 |
| 16 | Domain Recompilation-based Approach towards Hierarchical Task Network Planning with Constraints | 2012 | 0 |
About Prateep Misra
Prateep Misra is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Information Systems, having authored 16 papers that have together received 331 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Data Management and Algorithms (3 papers), IoT and Edge/Fog Computing (3 papers), Semantic Web and Ontologies (3 papers), Advanced Database Systems and Queries (2 papers), Time Series Analysis and Forecasting (2 papers), Green IT and Sustainability (1 paper) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (90 citations), Computer Networks and Communications (75 citations), Computer Vision and Pattern Recognition (60 citations), Mechanical Engineering (87 citations) and Management Information Systems (19 citations). Prateep Misra has collaborated with scholars based in India and Japan. Frequent co-authors include Arpan Pal, Debasish Mishra, Debashish Chakravarty, Surjya K. Pal, Tapas Chakravarty, Sudip Misra, M Girish Chandra, S. Dey, Arijit Mukherjee and Srikanta Pal. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, CIRP journal of manufacturing science and technology and Lecture notes in computer science.
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.