Deepraj Chowdhury

765 total citations
25 papers, 458 citations indexed

About

Deepraj Chowdhury is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Deepraj Chowdhury has authored 25 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Deepraj Chowdhury's work include IoT and Edge/Fog Computing (9 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (3 papers). Deepraj Chowdhury is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (3 papers). Deepraj Chowdhury collaborates with scholars based in India, United Kingdom and Denmark. Deepraj Chowdhury's co-authors include Sukhpal Singh Gill, Steve Uhlig, Minxian Xu, Muhammed Golec, Shreshth Tuli, Ashutosh Dhar Dwivedi, Rajkumar Buyya, Rajesh Arya, Mohit Kumar and Marloes Peeters and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Deepraj Chowdhury

24 papers receiving 432 citations

Peers

Deepraj Chowdhury
Comparison fields: 5 of 76
  • Computer Networks and Communications 245
  • Information Systems 184
  • Artificial Intelligence 147
  • Computer Vision and Pattern Recognition 62
  • Radiology, Nuclear Medicine and Imaging 55
Replace Muhammed Golec with:
Muhammed Golec United Kingdom
R. Lakshmana Kumar India
Pethuru Raj Chelliah India
Manmath Narayan Sahoo India
Sujit Bebortta India
Md Masum Billah Bangladesh
T. Prem Jacob India
Arulmurugan Ramu India
Raja Masadeh Jordan
Ramazan Terzi Türkiye
Muhammed Golec United Kingdom View profile →
Citations per field, relative to Deepraj Chowdhury
Deepraj Chowdhury · 1×
Citations per year, relative to Deepraj Chowdhury
Deepraj Chowdhury · 1×

Countries citing papers authored by Deepraj Chowdhury

Since Specialization
Citations

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

Fields of papers citing papers by Deepraj Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepraj Chowdhury

This figure shows the co-authorship network connecting the top 25 collaborators of Deepraj Chowdhury. A scholar is included among the top collaborators of Deepraj Chowdhury based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepraj Chowdhury. Deepraj Chowdhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 10
3 4
4 16
5 3
6 16
7 2
8 2
9 3
10 12
11 11
12 13
13 25
14 2
15 5
16 12
17 91
18 2
19 62
20 1

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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