Suprio Ray

1.5k total citations · 1 hit paper
78 papers, 829 citations indexed

About

Suprio Ray is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Suprio Ray has authored 78 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Networks and Communications, 42 papers in Signal Processing and 30 papers in Artificial Intelligence. Recurrent topics in Suprio Ray's work include Data Management and Algorithms (34 papers), Advanced Database Systems and Queries (25 papers) and Privacy-Preserving Technologies in Data (13 papers). Suprio Ray is often cited by papers focused on Data Management and Algorithms (34 papers), Advanced Database Systems and Queries (25 papers) and Privacy-Preserving Technologies in Data (13 papers). Suprio Ray collaborates with scholars based in Canada, China and India. Suprio Ray's co-authors include Rongxing Lu, Angela Demke Brown, Bogdan Simion, Sajjad Dadkhah, Pulei Xiong, Euclides Carlos Pinto Neto, Songnian Zhang, Yandong Zheng, Ali A. Ghorbani and Natalia Stakhanova and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Computer.

In The Last Decade

Suprio Ray

69 papers receiving 805 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Internet of Things (IoT) security dataset evolution: Challenges and future directions

2023 100 citations Barjinder Kaur, Sajjad Dadkhah et al. Internet of Things profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Suprio Ray Canada	17	401	345	338	241	102	78	829
Danh Le-Phuoc Germany	14	497 1.2×	413 1.2×	133 0.4×	297 1.2×	71 0.7×	47	911
Lu‐An Tang United States	14	244 0.6×	202 0.6×	400 1.2×	189 0.8×	42 0.4×	25	775
Ke Deng Australia	18	320 0.8×	230 0.7×	521 1.5×	153 0.6×	122 1.2×	46	1.1k
Kai Zeng China	17	578 1.4×	470 1.4×	405 1.2×	311 1.3×	32 0.3×	55	1.0k
Yang Du China	11	262 0.7×	177 0.5×	286 0.8×	81 0.3×	44 0.4×	58	668
Cheqing Jin China	19	441 1.1×	499 1.4×	455 1.3×	416 1.7×	49 0.5×	73	1.1k
Jie Yuan China	14	737 1.8×	201 0.6×	79 0.2×	414 1.7×	188 1.8×	46	1.0k
Michael Compton Australia	10	330 0.8×	322 0.9×	132 0.4×	222 0.9×	44 0.4×	24	697
Tao Guo China	14	147 0.4×	213 0.6×	288 0.9×	182 0.8×	23 0.2×	66	625
Sushil K. Prasad United States	17	631 1.6×	95 0.3×	193 0.6×	225 0.9×	156 1.5×	112	899

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-authorship network of co-authors of Suprio Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Suprio Ray. A scholar is included among the top collaborators of Suprio Ray 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 Suprio Ray. Suprio Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Güting, Ralf Hartmut, et al.. (2025). Exact Trajectory Similarity Search With N-tree: An Efficient Metric Index for kNN and Range Queries. ACM Transactions on Spatial Algorithms and Systems. 11(1). 1–54.

2.

Zhang, Xiaozheng, et al.. (2025). FunDa: scalable serverless data analytics and in situ query processing. Journal Of Big Data. 12(1). 116–116.

3.

Mishra, Supriya, et al.. (2024). A survey on Persistent Memory indexes: Recent advances, challenges and opportunities. Journal of Systems Architecture. 151. 103140–103140. 1 indexed citations

4.

Ray, Suprio, et al.. (2024). Learned Index Acceleration with FPGAs: A SMART Approach. 71–80.

5.

Ray, Suprio, et al.. (2024). Road traffic accident severity prediction using causal inference and machine learning. 292–300.

6.

Ray, Suprio, et al.. (2024). Rail transit delay forecasting with Causal Machine Learning. 1–10. 1 indexed citations

7.

Dadkhah, Sajjad, et al.. (2023). Security issues in Internet of Vehicles (IoV): A comprehensive survey. Internet of Things. 22. 100809–100809. 85 indexed citations

8.

Ray, Suprio, et al.. (2023). Authenticated Range Querying of Historical Blockchain Healthcare Data Using Authenticated Multi-Version Index. 3(2). 1–31. 1 indexed citations

9.

Stakhanova, Natalia, et al.. (2023). Data Provenance in Security and Privacy. ACM Computing Surveys. 55(14s). 1–35. 15 indexed citations

10.

Zhang, Songnian, et al.. (2023). Traceable and Privacy-Preserving Worker Selection Scheme with Arbitrary Spatial Ranges in MCS. 1548–1553. 1 indexed citations

11.

Kaur, Barjinder, Sajjad Dadkhah, Farzaneh Shoeleh, et al.. (2023). Internet of Things (IoT) security dataset evolution: Challenges and future directions. Internet of Things. 22. 100780–100780. 100 indexed citations breakdown →

12.

Zhang, Songnian, Suprio Ray, Rongxing Lu, et al.. (2022). Toward Privacy-Preserving Aggregate Reverse Skyline Query With Strong Security. IEEE Transactions on Information Forensics and Security. 17. 2538–2552. 12 indexed citations

13.

Ray, Suprio, et al.. (2020). Enabling NUMA-aware Main Memory Spatial Join Processing: An Experimental Study.. Very Large Data Bases. 1–8.

14.

Varghese, Blesson, Philipp Leitner, Suprio Ray, et al.. (2019). Cloud Futurology. Computer. 52(9). 68–77. 22 indexed citations

15.

Bateman, Scott, et al.. (2019). PySnippet: Accelerating Exploratory Data Analysis in Jupyter Notebook through Facilitated Access to Example Code.. EDBT/ICDT Workshops. 5 indexed citations

16.

Varghese, Blesson, et al.. (2019). Research challenges in query processing and data analytics on the edge.. Conference of the Centre for Advanced Studies on Collaborative Research. 317–322. 1 indexed citations

17.

Varghese, Blesson, et al.. (2019). Research Challenges in Query Processing and Data Analytics on the Edge. Research Portal (Queen's University Belfast). 317–322. 3 indexed citations

18.

Filieri, Antonio, Martina Maggio, Konstantinos Angelopoulos, et al.. (2017). Control Strategies for Self-Adaptive Software Systems. ACM Transactions on Autonomous and Adaptive Systems. 11(4). 1–31. 42 indexed citations

19.

Ray, Suprio, et al.. (2014). Supporting Location-Based Services in a Main-Memory Database. 3–12. 17 indexed citations

20.

Ray, Suprio. (2014). Towards High Performance Spatio-temporal Data Management Systems. 19–22. 5 indexed citations

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.

Explore authors with similar magnitude of impact