Suprio Ray

1.7k citations
87 papers · 1.1k · 1 hit paper · h-index 18

Impact in

Papers in

Suprio Ray

74 papers receiving 1.1k citations

Suprio Ray's Hit Papers

Internet of Things (IoT) security dataset evolution: Challenges and future directions 2023 · 129 citations
1290+1+2Years since publication4080120

Peers

Suprio Ray
Comparison fields: 5 of 83
  • Signal Processing 409
  • Computer Networks and Communications 553
  • Geography, Planning and Development 92
  • Information Systems 342
  • Artificial Intelligence 445
Replace Lu‐An Tang with:
Lu‐An Tang United States
Sushil K. Prasad United States
Cheqing Jin China
Tingjian Ge United States
Antonios Deligiannakis Greece
Haoyuan Li China
Xiao Hang Wang Malaysia
Jie Yuan China
Jeong-Hyon Hwang United States
Shawn R. Jeffery United States
Suprio Ray relative to Lu‐An Tang United States Lu‐An Tang's profile →
Citations per field
00.5×5×10×12.7×
Lu‐An Tang · 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 87 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 →
2023129
2 2023121
3 201561
4 201756
5 201151
6 200446
7 202042
8 202231
9 202128
10 201327
11 201926
12 202326
13 201926
14 201925
15 201423
16 202122
17 201420
18 202020
19 202218
20 201517

About Suprio Ray

Suprio Ray is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Geography, Planning and Development, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (36 papers), Advanced Database Systems and Queries (23 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 Data Mining Algorithms and Applications (7 papers). The work is most often cited by research in Signal Processing (409 citations), Computer Networks and Communications (553 citations), Geography, Planning and Development (92 citations), Information Systems (342 citations) and Artificial Intelligence (445 citations). Suprio Ray has collaborated with scholars based in Canada, China and India. Frequent co-authors include Rongxing Lu, Sajjad Dadkhah, Pulei Xiong, Angela Demke Brown, Euclides Carlos Pinto Neto, Bogdan Simion, Songnian Zhang, Yandong Zheng, Ali Akbar 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 Ocean Engineering.

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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