Rinku Dewri

73 total papers · 1.7k total citations
49 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 49 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 14 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, Kalyanmoy Deb, Saptarshi Majumdar 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rinku Dewri 618 591 310 245 152 49 1.2k
Federico Maggi 494 0.8× 529 0.9× 416 1.3× 588 2.4× 124 0.8× 50 1.1k
Dan Geer 446 0.7× 518 0.9× 219 0.7× 199 0.8× 86 0.6× 55 915
Florian Skopik 842 1.4× 684 1.2× 566 1.8× 333 1.4× 100 0.7× 108 1.5k
Roksana Boreli 781 1.3× 316 0.5× 508 1.6× 394 1.6× 164 1.1× 54 1.2k
Bradley Reaves 573 0.9× 480 0.8× 391 1.3× 536 2.2× 119 0.8× 46 1.1k
Joaquín García-Alfaro 439 0.7× 400 0.7× 299 1.0× 111 0.5× 96 0.6× 104 1.0k
Deborah Frincke 492 0.8× 468 0.8× 377 1.2× 273 1.1× 70 0.5× 61 1.1k
Yanbin Sun 551 0.9× 371 0.6× 456 1.5× 210 0.9× 67 0.4× 64 1.1k
Yan Jia 493 0.8× 495 0.8× 469 1.5× 253 1.0× 72 0.5× 67 1.1k
Alessio Merlo 524 0.8× 527 0.9× 305 1.0× 543 2.2× 109 0.7× 94 1.1k

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

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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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