Dharmendra Sharma

2.9k citations
188 papers · 1.6k · h-index 19

Impact in

Papers in

Dharmendra Sharma

166 papers receiving 1.5k citations

Peers

Dharmendra Sharma
Comparison fields: 5 of 159
  • Behavioral Neuroscience 68
  • Computer Networks and Communications 397
  • Signal Processing 169
  • Information Systems 306
  • Artificial Intelligence 373
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David Bell United Kingdom
Min Liu China
Taewan Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Dharmendra Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Dharmendra Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016118
2 197863
3 201962
4 201460
5 201955
6 201243
7 201141
8 201241
9 201340
10
A Proposed Feature Extraction Method for EEG-based Person Identification
201239
11 197839
12 201830
13 201830
14 201929
15 202428
16 200822
17 200921
18 201219
19 201118
20
Accuracy of Location Identification with Antenna Polarization on RSSI
200918

About Dharmendra Sharma

Dharmendra Sharma is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 188 papers that have together received 1.6k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (24 papers), Security in Wireless Sensor Networks (12 papers), Energy Efficient Wireless Sensor Networks (11 papers), Quantum Computing Algorithms and Architecture (10 papers), EEG and Brain-Computer Interfaces (10 papers), Cryptography and Residue Arithmetic (10 papers), Cryptography and Data Security (9 papers) and Chaos-based Image/Signal Encryption (9 papers). The work is most often cited by research in Behavioral Neuroscience (68 citations), Computer Networks and Communications (397 citations), Signal Processing (169 citations), Information Systems (306 citations) and Artificial Intelligence (373 citations). Dharmendra Sharma has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Dat Tran, Xu Huang, Wanli Ma, Xu Huang, Firdaus E. Udwadia, Rosalie M. Uht, Kumudu S. Munasinghe, Abbas Jamalipour, Pritam Gajkumar Shah and Pritesh Shah. Their work appears in journals such as IEEE Access, Journal of the Association for Information Systems, Ad Hoc Networks, Logic Journal of IGPL and Experimental Biology and Medicine.

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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