Mayank Dave

3.7k citations
166 papers · 2.3k · h-index 27

Impact in

Papers in

Mayank Dave

155 papers receiving 2.1k citations

Peers

Mayank Dave
Comparison fields: 5 of 94
  • Computer Networks and Communications 1.0k
  • Computer Vision and Pattern Recognition 709
  • Signal Processing 333
  • Ocean Engineering 267
  • Artificial Intelligence 480
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Citations per year

Countries citing papers authored by Mayank Dave

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Dave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayank Dave, 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 Dave Line = papers co-authored together Mayank Dave links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015132
2 2014102
3 201990
4 202085
5 201576
6 201475
7
A Review of Various VANET Data Dissemination Protocols
201263
8 201962
9 201759
10 201651
11 201549
12 201548
13 201842
14 201439
15 201936
16 201234
17 202134
18 201733
19 201131
20
Using Gaussian Mixtures for Hindi Speech Recognition System
201131

About Mayank Dave

Mayank Dave is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 166 papers that have together received 2.3k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (39 papers), Mobile Ad Hoc Networks (21 papers), Network Security and Intrusion Detection (19 papers), Opportunistic and Delay-Tolerant Networks (18 papers), Security in Wireless Sensor Networks (18 papers), Advanced Steganography and Watermarking Techniques (17 papers), Chaos-based Image/Signal Encryption (15 papers) and Digital Media Forensic Detection (13 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Computer Vision and Pattern Recognition (709 citations), Signal Processing (333 citations), Ocean Engineering (267 citations) and Artificial Intelligence (480 citations). Mayank Dave has collaborated with scholars based in India, Australia and United Arab Emirates. Frequent co-authors include Anand Mohan, Amit Kumar Singh, Anil Kumar Verma, Nitin Goyal, Virender Ranga, Rajesh Kumar Aggarwal, Basant Kumar, Rakesh Kumar, Bharti Dwivedi and Raj Joshi. Their work appears in journals such as Wireless Personal Communications, International Journal of Speech Technology, Electric Power Systems Research, International Journal of Electrical Power & Energy Systems and Computers & Security.

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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