Mayank Raikwar

526 citations
21 papers · 383 · h-index 7

Impact in

Papers in

Mayank Raikwar

19 papers receiving 360 citations

Peers

Mayank Raikwar
Comparison fields: 5 of 27
  • Information Systems 311
  • Artificial Intelligence 59
  • Computer Networks and Communications 27
  • Management Information Systems 10
  • Food Science 10
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Kaushal Arvindbhai Shah India
Maher Alharby Saudi Arabia
Udit Agarwal India
Ishfaq Ahmad Malik India
Hiroki Watanabe Japan
Kei-Léo Brousmiche France
S. Ganesh Kumar India
Rafael Belchior Portugal
Dijana Stojić Serbia
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Citations per field
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Citations per year

Countries citing papers authored by Mayank Raikwar

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Raikwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Mayank Raikwar, 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 Mayank Raikwar Line = papers co-authored together Mayank Raikwar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018149
2 2019114
3 202228
4 202218
5 201817
6 202213
7 202410
8 20226
9 20246
10 20214
11 20213
12 20223
13 20233
14 20243
15 20212
16 20211
17 20211
18 20231
19 20241
20 20250

About Mayank Raikwar

Mayank Raikwar is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Nuclear Energy and Engineering, having authored 21 papers that have together received 383 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (15 papers), Cryptography and Data Security (10 papers), Chaos-based Image/Signal Encryption (2 papers), Network Security and Intrusion Detection (2 papers), Cloud Data Security Solutions (2 papers), Advanced Authentication Protocols Security (2 papers), Advanced Database Systems and Queries (1 paper) and Cryptographic Implementations and Security (1 paper). The work is most often cited by research in Information Systems (311 citations), Artificial Intelligence (59 citations), Computer Networks and Communications (27 citations), Management Information Systems (10 citations) and Food Science (10 citations). Mayank Raikwar has collaborated with scholars based in Norway, India and Singapore. Frequent co-authors include Danilo Gligoroski, Katina Kralevska, Kwok‐Yan Lam, Anupam Chattopadhyay, Sushmita Ruj, Subhra Mazumdar, Sourav Sen Gupta, Sebastian Müller, Nikita Polyanskii and Debdeep Mukhopadhyay. Their work appears in journals such as IEEE Access, Computers & Electrical Engineering, Journal of Cloud Computing Advances Systems and Applications, Blockchain Research and Applications and Lecture notes in computer science.

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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