Suprio Ray

1.6k citations
85 papers · 1.0k · 1 hit paper · h-index 18

Impact in

Papers in

Suprio Ray

74 papers receiving 987 citations

Suprio Ray's Hit Papers

Internet of Things (IoT) security dataset evolution: Challenges and future directions 2023 · 120 citations
1200+1+2Years since publication4080120

Peers

Suprio Ray
Comparison fields: 5 of 84
  • Signal Processing 399
  • Computer Networks and Communications 498
  • Geography, Planning and Development 88
  • Information Systems 291
  • Artificial Intelligence 391
Replace Cheqing Jin with:
Cheqing Jin China
Lu‐An Tang United States
Jae‐Woo Chang South Korea
Antonios Deligiannakis Greece
Sushil K. Prasad United States
Tobias Emrich Germany
Michael Compton Australia
Min-Te Sun United States
Tingjian Ge United States
Hoyoung Jeung Switzerland
Suprio Ray relative to Cheqing Jin China Cheqing Jin's profile →
Citations per field
00.5×10×14×
Cheqing Jin · 1×
Citations per year

Countries citing papers authored by Suprio Ray

Since Specialization
Citations

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

Fields of papers citing papers by Suprio Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suprio Ray, 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 Suprio Ray Line = papers co-authored together Suprio Ray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Internet of Things (IoT) security dataset evolution: Challenges and future directions
Hit paper breakdown →
2023120
2 2023106
3 201751
4 201151
5 200444
6 202042
7 201329
8 202127
9 201926
10 201925
11 201924
12 202224
13 201423
14 202122
15 202321
16 202019
17 201419
18 201219
19 202116
20 202116

About Suprio Ray

Suprio Ray is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Geography, Planning and Development, having authored 85 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Management and Algorithms (36 papers), Advanced Database Systems and Queries (25 papers), Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (10 papers), Geographic Information Systems Studies (9 papers), Cloud Computing and Resource Management (8 papers), Advanced Malware Detection Techniques (8 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Signal Processing (399 citations), Computer Networks and Communications (498 citations), Geography, Planning and Development (88 citations), Information Systems (291 citations) and Artificial Intelligence (391 citations). Suprio Ray has collaborated with scholars based in Canada, China and India. Frequent co-authors include Rongxing Lu, Angela Demke Brown, Bogdan Simion, Pulei Xiong, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Songnian Zhang, Yandong Zheng, Ali A. Ghorbani and Natalia Stakhanova. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Big Data, Internet of Things and Journal of Systems Architecture.

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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