Hitesh Tewari

831 citations
26 papers · 440 indexed · h-index 13
Topics
Cryptography and Data Security (7 papers)Blockchain Technology Applications and Security (7 papers)Advanced Authentication Protocols Security (4 papers)

In The Last Decade

Hitesh Tewari

24 papers receiving 392 citations

Peers

Hitesh Tewari
Comparison fields: 5 of 45
  • Computer Networks and Communications 286
  • Information Systems 188
  • Artificial Intelligence 166
  • Electrical and Electronic Engineering 111
  • Computer Vision and Pattern Recognition 47
Replace José L. Muñoz with:
José L. Muñoz Spain
Taek-Young Youn South Korea
Mohammad M. R. Chowdhury Norway
Vanesa Daza Spain
Eder J. Scheid Switzerland
Giulio Malavolta Germany
Ralf Hauser Switzerland
Vivek Kapoor India
Jen‐Ho Yang Taiwan
Ronald Doku United States
Hitesh Tewari relative to José L. Muñoz Spain José L. Muñoz's profile →
Citations per field
00.5×1.5×2.2×
José L. Muñoz · 1×
Citations per year

Countries citing papers authored by Hitesh Tewari

Since Specialization
Citations

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

Fields of papers citing papers by Hitesh Tewari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitesh Tewari

This figure shows the co-authorship network connecting the top 25 collaborators of Hitesh Tewari. A scholar is included among the top collaborators of Hitesh Tewari 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 Hitesh Tewari. Hitesh Tewari 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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 2
6 28
7 27
8 15
9 19
10 54
11 17
12 1
13 14
14 3
15 54
16 12
17 63
18 12
19
Electronic payment systems for e-commerce
62
20
Reusable Off-line Electronic Cash Using Secret Splitting
9

About Hitesh Tewari

Hitesh Tewari is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 26 papers that have together received 440 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Blockchain Technology Applications and Security (7 papers) and Advanced Authentication Protocols Security (4 papers). The work is most often cited by research in Computer Networks and Communications (286 citations), Information Systems (188 citations) and Artificial Intelligence (166 citations). Hitesh Tewari has collaborated with scholars based in Ireland, India and United Kingdom. Frequent co-authors include Donal O’Mahony, Patroklos Argyroudis, Raman Singh, Maninder Singh, Rajat Verma, Kevin McDonnell, Mohammed Amine Togou, Kapal Dev, Ting Bi and Gabriel‐Miro Muntean. Their work appears in journals such as IEEE Communications Magazine, Knowledge-Based Systems and Computer 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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