Rinku Dewri

1.7k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

Rinku Dewri is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Rinku Dewri has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 15 papers in Sociology and Political Science. Recurrent topics in Rinku Dewri's work include Privacy-Preserving Technologies in Data (21 papers), Privacy, Security, and Data Protection (14 papers) and Mobile Crowdsensing and Crowdsourcing (12 papers). Rinku Dewri is often cited by papers focused on Privacy-Preserving Technologies in Data (21 papers), Privacy, Security, and Data Protection (14 papers) and Mobile Crowdsensing and Crowdsourcing (12 papers). Rinku Dewri collaborates with scholars based in United States, India and Saudi Arabia. Rinku Dewri's co-authors include Indrajit Ray, Nayot Poolsappasit, Darrell Whitley, Ramakrishna Thurimella, Indrakshi Ray, Nirupam Chakraborti, Kishalay Mitra, Saptarshi Majumdar, Kalyanmoy Deb and Sanjay Rajopadhye and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Science and Computer.

In The Last Decade

Rinku Dewri

47 papers receiving 1.1k citations

Hit Papers

Dynamic Security Risk Man... 2011 2026 2016 2021 2011 100 200 300 400
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.

  1. Dynamic Security Risk Management Using Bayesian Attack Graphs
    2011 418 citations Rinku Dewri, Indrajit Ray et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rinku Dewri United States 16 620 595 310 245 153 50 1.2k
Sajjan G. Shiva United States 18 978 1.6× 669 1.1× 521 1.7× 400 1.6× 55 0.4× 106 1.6k
Xiaohong Li China 17 471 0.8× 498 0.8× 415 1.3× 286 1.2× 45 0.3× 120 1.2k
Joaquín García-Alfaro France 16 430 0.7× 376 0.6× 282 0.9× 107 0.4× 82 0.5× 103 975
Yanbin Sun China 16 557 0.9× 376 0.6× 461 1.5× 211 0.9× 65 0.4× 65 1.2k
Emmanouil Panaousis United Kingdom 21 741 1.2× 540 0.9× 441 1.4× 305 1.2× 83 0.5× 80 1.4k
Xinyu Xing United States 22 732 1.2× 742 1.2× 942 3.0× 750 3.1× 107 0.7× 103 1.9k
Muhammad Rizwan Asghar New Zealand 19 693 1.1× 446 0.7× 666 2.1× 241 1.0× 89 0.6× 86 1.5k
Shingo Yamaguchi Japan 14 545 0.9× 526 0.9× 388 1.3× 252 1.0× 46 0.3× 186 1.2k
Massimiliano Rak Italy 21 1.0k 1.7× 1.1k 1.9× 331 1.1× 171 0.7× 90 0.6× 139 1.5k
Mazeiar Salehie Canada 14 710 1.1× 763 1.3× 913 2.9× 69 0.3× 53 0.3× 35 1.3k

Countries citing papers authored by Rinku Dewri

Since Specialization
Citations

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

Fields of papers citing papers by Rinku Dewri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rinku Dewri

This figure shows the co-authorship network connecting the top 25 collaborators of Rinku Dewri. A scholar is included among the top collaborators of Rinku Dewri 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 Rinku Dewri. Rinku Dewri 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
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Dewri, Rinku, et al.. (2023). A survey of anomaly detection methods for power grids. International Journal of Information Security. 22(6). 1799–1832. 8 indexed citations
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Dewri, Rinku, et al.. (2023). Evolution of Composition, Readability, and Structure of Privacy Policies over Two Decades. Proceedings on Privacy Enhancing Technologies. 2023(3). 138–153. 8 indexed citations
6.
Barman‐Adhikari, Anamika, et al.. (2022). Substance use and sentiment and topical tendencies: a study using social media conversations of youth experiencing homelessness. Information Technology and People. 36(6). 2515–2542. 1 indexed citations
7.
Das, Sanchari, et al.. (2022). Privacy and Security Evaluation of Mobile Payment Applications Through User-Generated Reviews. 159–173. 3 indexed citations
8.
Dewri, Rinku, et al.. (2017). Location Privacy for Rank-based Geo-Query Systems. SHILAP Revista de lepidopterología. 2017(4). 77–96. 7 indexed citations
9.
Thurimella, Ramakrishna, et al.. (2017). A graph traversal attack on Bloom filter-based medical data aggregation. 4(4). 217–217. 6 indexed citations
10.
Andrews, Anneliese, et al.. (2016). A case study of black box fail-safe testing in web applications. Journal of Systems and Software. 131. 146–167. 9 indexed citations
11.
Dewri, Rinku, Toan C. Ong, & Ramakrishna Thurimella. (2016). Linking Health Records for Federated Query Processing. SHILAP Revista de lepidopterología. 2016(3). 4–23. 4 indexed citations
12.
Dewri, Rinku, et al.. (2016). Private Retrieval of POI Details in Top-K Queries. IEEE Transactions on Mobile Computing. 16(9). 2611–2624. 7 indexed citations
13.
Salehi, Mohsen Amini, Jay Smith, Anthony A. Maciejewski, et al.. (2016). Stochastic-based robust dynamic resource allocation for independent tasks in a heterogeneous computing system. Journal of Parallel and Distributed Computing. 97. 96–111. 23 indexed citations
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Dewri, Rinku, et al.. (2011). Exploring privacy versus data quality trade-offs in anonymization techniques using multi-objective optimization. Journal of Computer Security. 19(5). 935–974. 3 indexed citations
16.
Dewri, Rinku, Indrakshi Ray, Indrajit Ray, & Darrell Whitley. (2010). Real time stochastic scheduling in broadcast systems with decentralized data storage. Real-Time Systems. 45(3). 143–175. 1 indexed citations
17.
Dewri, Rinku, Indrakshi Ray, Indrajit Ray, & Darrell Whitley. (2008). Optimizing on-demand data broadcast scheduling in pervasive environments. 1 indexed citations
18.
Dewri, Rinku, Darrell Whitley, Indrakshi Ray, & Indrajit Ray. (2008). Evolution strategy based optimization of on-demand dependent data broadcast scheduling. 1699–1700. 1 indexed citations
19.
Dewri, Rinku, et al.. (2007). Towards Optimal Multi-level Tiling for Stencil Computations. 1–10. 32 indexed citations
20.
Deb, Kalyanmoy, Kishalay Mitra, Rinku Dewri, & Saptarshi Majumdar. (2004). Towards a better understanding of the epoxy-polymerization process using multi-objective evolutionary computation. Chemical Engineering Science. 59(20). 4261–4277. 62 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.

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