Prashant Puniya

632 citations
4 papers · 6 indexed · h-index 2
Topics
Cryptographic Implementations and Security (2 papers)Chaos-based Image/Signal Encryption (2 papers)Cryptography and Data Security (1 paper)
Journals
OPSEARCH
Partner nations
SwitzerlandChinaFrance

In The Last Decade

Prashant Puniya

3 papers receiving 4 citations

Peers

Prashant Puniya
Comparison fields: 5 of 10
  • Computer Vision and Pattern Recognition 3
  • Artificial Intelligence 3
  • Computer Networks and Communications 1
  • Automotive Engineering 1
  • Sociology and Political Science 1
Replace Emanuel Taropa with:
Emanuel Taropa South Korea
Ewan Fleischmann Germany
Tomislav Nad
Chris Mottram United Kingdom
K. K. Kwan United States
Claude Sammut Australia
A. Hasib Cyprus
Y. Cai France
Bob Dröge Netherlands
Mayur Sonawane India
Prashant Puniya relative to Emanuel Taropa South Korea Emanuel Taropa's profile →
Citations per field
00.5×1.5×
Emanuel Taropa · 1×
Citations per year

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

4 of 4 papers shown
#WorkIndexed citations
1
New design criteria for hash functions and block ciphers
2
2
On the relation between the ideal cipher and the random oracle models
2
3 1
4
A new design criteria for hash-functions
1

About Prashant Puniya

Prashant Puniya is a scholar working on Transportation, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 6 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Cryptography and Data Security (1 paper). The work is most often cited by research in Transportation (1 citation), Computer Vision and Pattern Recognition (3 citations) and Industrial and Manufacturing Engineering (1 citation). Prashant Puniya has collaborated with scholars based in Switzerland, China and France. Frequent co-authors include Yevgeniy Dodis, Milind Sohoni, Jugal Garg and Narayan Rangaraj. Their work appears in journals such as OPSEARCH.

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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