Yogendra Shah

1.1k citations
20 papers · 763 indexed · h-index 9

Yogendra Shah

18 papers receiving 722 citations

Peers

Yogendra Shah
Comparison fields: 5 of 39
  • Computer Vision and Pattern Recognition 347
  • Computer Networks and Communications 332
  • Electrical and Electronic Engineering 594
  • Artificial Intelligence 257
  • Signal Processing 55
Replace Sriram N. Premnath with:
Sriram N. Premnath United States
Mike Clark United States
Paul Yu United States
Runfa Liao China
Robert Morelos-Zaragoza United States
Miodrag J. Mihaljević Serbia
Chen-Mou Cheng Taiwan
P. Bergamo Italy
Spyros S. Magliveras United States
Liang Zhou China
Yogendra Shah relative to Sriram N. Premnath United States Sriram N. Premnath's profile →
Citations per field
00.5×1.5×
Sriram N. Premnath · 1×
Citations per year

Countries citing papers authored by Yogendra Shah

Since Specialization
Citations

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

Fields of papers citing papers by Yogendra Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Yogendra Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yogendra Shah Line = papers co-authored together Yogendra Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20192
2 20184
3 20181
4 201643
5 201511
6 20134
7 20131
8 20130
9 20124
10 20112
11 20113
12
Trusted Computing enhanced OpenID
201011
13 2010300
14 20104
15 201065
16 201036
17 20104
18 200986
19 200744
20 2006138

About Yogendra Shah

Yogendra Shah is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 20 papers that have together received 763 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (7 papers), Chaos-based Image/Signal Encryption (6 papers), Advanced Authentication Protocols Security (5 papers), Access Control and Trust (5 papers), Security and Verification in Computing (5 papers), IPv6, Mobility, Handover, Networks, Security (4 papers), Cloud Data Security Solutions (3 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (347 citations), Computer Networks and Communications (332 citations), Electrical and Electronic Engineering (594 citations), Artificial Intelligence (257 citations) and Signal Processing (55 citations). Yogendra Shah has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Chunxuan Ye, Wade Trappe, Narayan B. Mandayam, Alex Reznik, Suhas Mathur, Alexander Reznik, Andreas Schmidt, Ayman A. AbdelHamid, Rajat Mukherjee and Akbar Rahman. Their work appears in journals such as IEEE Vehicular Technology Magazine, IEEE Wireless Communications, Computers & Security, IEEE Access and Journal of Communications and Networks.

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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