Pallav Kumar Deb

26 papers receiving 364 citations

Peers

Pallav Kumar Deb
Comparison fields: 5 of 59
  • Computer Networks and Communications 199
  • Information Systems 103
  • Artificial Intelligence 144
  • Computer Science Applications 22
  • Health Informatics 5
Replace Md Masum Billah with:
Md Masum Billah Bangladesh
Taochun Wang China
Fayez Alfayez Saudi Arabia
Noman Zahid Pakistan
Xingxing Xiong China
A. Sivasangari India
Arthur Gatouillat United States
Duo Lu United States
Nishat I Mowla South Korea
Bartłomiej Śnieżyński Poland
Pallav Kumar Deb relative to Md Masum Billah Bangladesh Md Masum Billah's profile →
Citations per field
00.5×2.7×
Md Masum Billah · 1×
Citations per year

Countries citing papers authored by Pallav Kumar Deb

Since Specialization
Citations

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

Fields of papers citing papers by Pallav Kumar Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pallav Kumar Deb. 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 Pallav Kumar Deb. The network helps show where Pallav Kumar Deb may publish in the future.

Co-authors

The 14 scholars most cited alongside Pallav Kumar Deb, 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 Pallav Kumar Deb Line = papers co-authored together Pallav Kumar Deb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 202140
3 202235
4 202123
5 202021
6 202017
7 202117
8 202017
9 202016
10 202216
11 202013
12 202110
13 20217
14 20217
15 20237
16 20215
17 20225
18 20225
19 20205
20 20214

About Pallav Kumar Deb

Pallav Kumar Deb is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 370 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (17 papers), Blockchain Technology Applications and Security (6 papers), Context-Aware Activity Recognition Systems (4 papers), Age of Information Optimization (4 papers), Cryptography and Data Security (3 papers), IoT Networks and Protocols (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Computer Networks and Communications (199 citations), Information Systems (103 citations), Artificial Intelligence (144 citations), Computer Science Applications (22 citations) and Health Informatics (5 citations). Pallav Kumar Deb has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Sudip Misra, Anandarup Mukherjee, Chandranath Chatterjee, Surjya K. Pal, Arijit Roy, Chandana Roy, Shiwen Mao, Debasish Mishra, Mayukh Mondal and Debashish Chakravarty. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Industrial Informatics, IEEE Systems Journal and IEEE Transactions on Computers.

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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