Manoj Panda
Impact in
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- Wireless Networks and Protocols
- Mobile Ad Hoc Networks
- Network Traffic and Congestion Control
- Opportunistic and Delay-Tolerant Networks
- IoT and Edge/Fog Computing
- Transportation top 10%
Papers in
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- Wireless Networks and Protocols 13
- Mobile Ad Hoc Networks 13
- Opportunistic and Delay-Tolerant Networks 6
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- Advanced Wireless Network Optimization 10
- Co-authors
- Hai L. Vu (12 shared papers)Shiva Raj Pokhrel (4 shared papers)Anurag Kumar (9 shared papers)Michel Mandjes (2 shared papers)R Gandhiraj (8 shared papers)Eitan Altman (5 shared papers)Dong Ngoduy (3 shared papers)Arshad Ali (4 shared papers)
In The Last Decade
Manoj Panda
57 papers receiving 468 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 275
- Transportation 41
- Automotive Engineering 52
- Electrical and Electronic Engineering 231
- Control and Systems Engineering 69
Countries citing papers authored by Manoj Panda
This map shows the geographic impact of Manoj 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 Manoj Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Panda more than expected).
Fields of papers citing papers by Manoj Panda
This network shows the impact of papers produced by Manoj 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 Manoj Panda. The network helps show where Manoj Panda may publish in the future.
Co-authors
The 25 scholars most cited alongside Manoj Panda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 38 | |
| 2 | 2017 | 29 | |
| 3 | 2021 | 26 | |
| 4 | 2017 | 25 | |
| 5 | 2017 | 23 | |
| 6 | 2010 | 20 | |
| 7 | 2014 | 19 | |
| 8 | 2010 | 17 | |
| 9 | 2016 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2005 | 15 | |
| 12 | 2014 | 13 | |
| 13 | 2009 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2017 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2013 | 11 | |
| 18 | 2021 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2023 | 8 |
About Manoj Panda
Manoj Panda is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Control and Systems Engineering, Building and Construction and Automotive Engineering, having authored 63 papers that have together received 477 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (13 papers), Mobile Ad Hoc Networks (13 papers), Advanced Wireless Network Optimization (10 papers), Traffic Prediction and Management Techniques (9 papers), Autonomous Vehicle Technology and Safety (8 papers), Traffic control and management (8 papers), Transportation Planning and Optimization (7 papers) and Opportunistic and Delay-Tolerant Networks (6 papers). The work is most often cited by research in Computer Networks and Communications (275 citations), Transportation (41 citations), Automotive Engineering (52 citations), Electrical and Electronic Engineering (231 citations) and Control and Systems Engineering (69 citations). Manoj Panda has collaborated with scholars based in India, Australia and France. Frequent co-authors include Hai L. Vu, Shiva Raj Pokhrel, Anurag Kumar, Michel Mandjes, R Gandhiraj, Eitan Altman, Dong Ngoduy, Arshad Ali, Tijani Chahed and Vishnu Navda. Their work appears in journals such as IEEE Transactions on Mobile Computing, Transportation Research Part B Methodological, Ad Hoc Networks, Computer Networks and Transportation Research Part C Emerging Technologies.
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.