Buddhadeb Pradhan

23 papers receiving 203 citations

Peers

Buddhadeb Pradhan
Comparison fields: 5 of 48
  • Computer Networks and Communications 94
  • Computer Vision and Pattern Recognition 52
  • Media Technology 16
  • Medical Laboratory Technology 2
  • Information Systems 31
Replace Malik Muhammad Saad with:
Malik Muhammad Saad South Korea
T. S. B. Sudarshan India
Mungyu Bae South Korea
Ali Alnoman Canada
Arunkumar Thangavelu India
Sohaib Bin Altaf Khattak Saudi Arabia
Zhishu Shen Japan
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202045
2 202332
3 202029
4 202420
5 202011
6 202010
7 20226
8 20186
9 20195
10 20255
11 20125
12 20235
13 20254
14 20214
15 20224
16 20114
17 20184
18 20243
19 20233
20 20223

About Buddhadeb Pradhan

Buddhadeb Pradhan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 24 papers that have together received 213 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), IoT and Edge/Fog Computing (4 papers), Software-Defined Networks and 5G (4 papers), Distributed Control Multi-Agent Systems (4 papers), Smart Parking Systems Research (2 papers), Advanced MIMO Systems Optimization (2 papers), Islanding Detection in Power Systems (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Networks and Communications (94 citations), Computer Vision and Pattern Recognition (52 citations), Media Technology (16 citations), Medical Laboratory Technology (2 citations) and Information Systems (31 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, Ashish Kr. Luhach, Rutvij H. Jhaveri, Francesco Benedetto, Jatindra Kumar Dash, Joel J. P. C. Rodrigues, Sidheswar Routray and Gautam Srivastava. Their work appears in journals such as Applied Soft Computing, ACM Transactions on Sensor Networks, ACM Transactions on Internet Technology, Multimedia Tools and Applications and International Journal of Machining and Machinability of Materials.

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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