Buddhadeb Pradhan

420 citations
29 papers · 269 · h-index 9

Impact in

Papers in

Buddhadeb Pradhan

27 papers receiving 258 citations

Peers

Buddhadeb Pradhan
Comparison fields: 5 of 55
  • Computer Networks and Communications 130
  • Computer Vision and Pattern Recognition 64
  • Media Technology 23
  • Information Systems 43
  • Transportation 12
Replace Mohammed Al‐Maitah with:
Mohammed Al‐Maitah Saudi Arabia
Sharmi Sankar Oman
Malik Muhammad Saad South Korea
Tiehua Zhang Australia
Ghassan Husnain Pakistan
Manoj Panda India
Prima Kristalina Indonesia
Mona Bakri Hassan Sudan
Belkacem Fergani Algeria
Buddhadeb Pradhan relative to Mohammed Al‐Maitah Saudi Arabia Mohammed Al‐Maitah's profile →
Citations per field
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Citations per year

Countries citing papers authored by Buddhadeb Pradhan

Since Specialization
Citations

This map shows the geographic impact of Buddhadeb Pradhan'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 Buddhadeb Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Buddhadeb Pradhan more than expected).

Fields of papers citing papers by Buddhadeb Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Buddhadeb Pradhan. 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 Buddhadeb Pradhan. The network helps show where Buddhadeb Pradhan may publish in the future.

Co-authors

The 25 scholars most cited alongside Buddhadeb Pradhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Buddhadeb Pradhan Line = papers co-authored together Buddhadeb Pradhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202048
2 202340
3 202030
4 202420
5 202016
6 202014
7 202311
8 20229
9 20189
10 20227
11 20187
12 20196
13 20126
14 20236
15 20255
16 20185
17 20254
18 20214
19 20114
20 20224

About Buddhadeb Pradhan

Buddhadeb Pradhan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 29 papers that have together received 269 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Distributed Control Multi-Agent Systems (6 papers), IoT and Edge/Fog Computing (5 papers), Software-Defined Networks and 5G (4 papers), Smart Parking Systems Research (3 papers), Network Security and Intrusion Detection (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Networks and Communications (130 citations), Computer Vision and Pattern Recognition (64 citations), Media Technology (23 citations), Information Systems (43 citations) and Transportation (12 citations). Buddhadeb Pradhan has collaborated with scholars based in India, Italy and Norway. Frequent co-authors include Diptendu Sinha Roy, K. Hemant Kumar Reddy, Nirmal Baran Hui, Rutvij H. Jhaveri, Francesco Benedetto, Ashish Kr. Luhach, Jatindra Kumar Dash, Sidheswar Routray, Joel J. P. C. Rodrigues and Gautam Srivastava. Their work appears in journals such as Applied Soft Computing, IEEE Transactions on Vehicular Technology, Journal of Systems Architecture, ACM Transactions on Internet Technology and Journal of Computer-Aided Molecular Design.

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.

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