Prashant Puniya

632 total citations
4 papers, 6 citations indexed

About

Prashant Puniya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Prashant Puniya has authored 4 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Strategy and Management. Recurrent topics in Prashant Puniya's work include Cryptographic Implementations and Security (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Cryptography and Data Security (1 paper). Prashant Puniya is often cited by papers focused on Cryptographic Implementations and Security (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Cryptography and Data Security (1 paper). Prashant Puniya collaborates with scholars based in Switzerland, China and France. Prashant Puniya's co-authors include Yevgeniy Dodis, Milind Sohoni, Jugal Garg and Narayan Rangaraj and has published in prestigious journals such as OPSEARCH.

In The Last Decade

Prashant Puniya

3 papers receiving 4 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prashant Puniya Switzerland	2	3	3	1	1	1	4	6
Emanuel Taropa South Korea	1	3 1.0×	4 1.3×				2	4
Ewan Fleischmann Germany	2	3 1.0×	4 1.3×	1 1.0×			3	4
Tomislav Nad	2	3 1.0×	4 1.3×				4	4
Chris Mottram United Kingdom	2	2 0.7×	3 1.0×	1 1.0×			4	9
Claude Sammut Australia	1	3 1.0×	3 1.0×				2	7
K. K. Kwan United States	2	3 1.0×	2 0.7×				2	7
A. Hasib Cyprus	2	2 0.7×	2 0.7×				3	4
Bob Dröge Netherlands	2	3 1.0×	4 1.3×	1 1.0×		1 1.0×	3	6
Y. Cai France	2	2 0.7×	2 0.7×	1 1.0×			3	6
Mayur Sonawane India	2	3 1.0×	2 0.7×		1 1.0×		5	5

Countries citing papers authored by Prashant Puniya

Since Specialization

Citations

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

Fields of papers citing papers by Prashant Puniya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Puniya

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

All Works

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4 of 4 papers shown

1.

Dodis, Yevgeniy & Prashant Puniya. (2007). New design criteria for hash functions and block ciphers. 2 indexed citations

2.

Dodis, Yevgeniy & Prashant Puniya. (2006). On the relation between the ideal cipher and the random oracle models. 2 indexed citations

3.

Rangaraj, Narayan, Milind Sohoni, Prashant Puniya, & Jugal Garg. (2006). Rake linking for suburban train services. OPSEARCH. 43(2). 103–116. 1 indexed citations

4.

Dodis, Yevgeniy, et al.. (2005). A new design criteria for hash-functions. 1 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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