Mayank Sharma

1.2k total citations
50 papers, 590 citations indexed

About

Mayank Sharma is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Mayank Sharma has authored 50 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 21 papers in Electrical and Electronic Engineering and 11 papers in Computational Theory and Mathematics. Recurrent topics in Mayank Sharma's work include Advanced Queuing Theory Analysis (7 papers), Opportunistic and Delay-Tolerant Networks (7 papers) and Advanced Memory and Neural Computing (6 papers). Mayank Sharma is often cited by papers focused on Advanced Queuing Theory Analysis (7 papers), Opportunistic and Delay-Tolerant Networks (7 papers) and Advanced Memory and Neural Computing (6 papers). Mayank Sharma collaborates with scholars based in United States, India and Switzerland. Mayank Sharma's co-authors include Devavrat Shah, Mohsen Bayati, Mark S. Squillante, Balaji Prabhakar, Yingdong Lu, Ranjeet Singh Tomar, Chandra Nair, David A. Goldberg, L. A. Lastras-Montaño and Michele Franceschini and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Smart Grid and IEEE Signal Processing Magazine.

In The Last Decade

Mayank Sharma

48 papers receiving 553 citations

Peers

Mayank Sharma
Comparison fields: 5 of 70
  • Computer Networks and Communications 245
  • Electrical and Electronic Engineering 218
  • Artificial Intelligence 131
  • Management Information Systems 87
  • Computational Theory and Mathematics 78
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Citations per field, relative to Mayank Sharma
Mayank Sharma · 1×
Citations per year, relative to Mayank Sharma
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Countries citing papers authored by Mayank Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Sharma. A scholar is included among the top collaborators of Mayank Sharma 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 Mayank Sharma. Mayank Sharma 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
# Work Indexed citations
1 1
2 2
3 0
4 3
5 10
6 5
7 63
8 8
9 3
10 3
11
Cornered Difference Weighted Mean SAR speckle filter
3
12
FPGA implementations of the hummingbird cryptographic algorithm
1
13
Some common fixed point theorems in fuzzy metric spaces
1
14 9
15 41
16 4
17 17
18 24
19 69
20 17

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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