Debashis Das

1.2k citations
51 papers · 596 · h-index 13

Impact in

Papers in

Debashis Das

45 papers receiving 583 citations

Peers

Debashis Das
Comparison fields: 5 of 69
  • Information Systems 348
  • Computer Networks and Communications 178
  • Artificial Intelligence 197
  • Health Informatics 6
  • Industrial and Manufacturing Engineering 33
Replace Ouns Bouachir with:
Ouns Bouachir United Arab Emirates
Luís Cruz Netherlands
Rogardt Heldal Sweden
Feras M. Awaysheh Estonia
Feifei Shi China
Dusica Marijan Norway
Nachiket Tapas Italy
Hind Bangui Czechia
Francesco Pascale Italy
Roberto Verdecchia Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Debashis Das

Since Specialization
Citations

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

Fields of papers citing papers by Debashis Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Debashis Das, 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 Debashis Das Line = papers co-authored together Debashis Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201776
2 202449
3 202245
4 202344
5 202340
6 202028
7 202328
8 202226
9 202124
10 202419
11 202219
12 202117
13 202315
14 202211
15 202410
16 202010
17 202010
18 20259
19 20239
20 20239

About Debashis Das

Debashis Das is a scholar working on Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 596 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (32 papers), IoT and Edge/Fog Computing (20 papers), Vehicular Ad Hoc Networks (VANETs) (11 papers), Privacy-Preserving Technologies in Data (7 papers), Digital Transformation in Industry (3 papers), Biometric Identification and Security (3 papers), Software-Defined Networks and 5G (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Information Systems (348 citations), Computer Networks and Communications (178 citations), Artificial Intelligence (197 citations), Health Informatics (6 citations) and Industrial and Manufacturing Engineering (33 citations). Debashis Das has collaborated with scholars based in United States, India and United Arab Emirates. Frequent co-authors include Pushpita Chatterjee, Sourav Banerjee, Uttam Ghosh, Utpal Biswas, Danda B. Rawat, Kousik Dasgupta, Wathiq Mansoor, Mohammed S. Al-Numay, Susanta Mukhopadhyay and Ali Kashif Bashir. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Transactions on Intelligent Transportation Systems, IEEE Consumer Electronics Magazine, Optics & Laser Technology and IEEE Internet of Things Journal.

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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