Deepak Kumar Sharma

3.6k total citations
140 papers, 1.5k citations indexed

About

Deepak Kumar Sharma is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Deepak Kumar Sharma has authored 140 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Computer Networks and Communications, 27 papers in Artificial Intelligence and 27 papers in Electrical and Electronic Engineering. Recurrent topics in Deepak Kumar Sharma's work include Opportunistic and Delay-Tolerant Networks (52 papers), Mobile Ad Hoc Networks (47 papers) and Caching and Content Delivery (33 papers). Deepak Kumar Sharma is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (52 papers), Mobile Ad Hoc Networks (47 papers) and Caching and Content Delivery (33 papers). Deepak Kumar Sharma collaborates with scholars based in India, Canada and United States. Deepak Kumar Sharma's co-authors include Sanjay Kumar Dhurandher, Isaac Woungang, Koyel Datta Gupta, Vidushi Vashishth, Anshuman Chhabra, Joel J. P. C. Rodrigues, Anil Kumar, Deepak Gupta, Divyansh Agarwal and Anhad Mohananey and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Internet of Things Journal and Gait & Posture.

In The Last Decade

Deepak Kumar Sharma

125 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deepak Kumar Sharma India 21 936 286 278 164 131 140 1.5k
Ghufran Ahmed Pakistan 19 653 0.7× 323 1.1× 170 0.6× 207 1.3× 87 0.7× 75 1.1k
Wajdi Alhakami Saudi Arabia 19 416 0.4× 212 0.7× 400 1.4× 313 1.9× 125 1.0× 53 1.2k
Gianni D’Angelo Italy 22 450 0.5× 157 0.5× 529 1.9× 160 1.0× 253 1.9× 48 1.2k
Thompson Stephan India 23 425 0.5× 326 1.1× 303 1.1× 151 0.9× 54 0.4× 71 1.1k
Dhananjay Singh South Korea 18 796 0.9× 525 1.8× 158 0.6× 308 1.9× 86 0.7× 108 1.4k
Ohyun Jo South Korea 14 341 0.4× 417 1.5× 306 1.1× 130 0.8× 82 0.6× 57 1.1k
Fakhri Alam Khan Pakistan 16 485 0.5× 235 0.8× 164 0.6× 228 1.4× 117 0.9× 48 909
Muhammad Arif China 16 394 0.4× 334 1.2× 281 1.0× 180 1.1× 35 0.3× 41 1000
Mohammad Ayoub Khan Saudi Arabia 20 617 0.7× 412 1.4× 337 1.2× 394 2.4× 72 0.5× 67 1.5k
Salekul Islam Bangladesh 20 624 0.7× 165 0.6× 351 1.3× 438 2.7× 103 0.8× 95 1.2k

Countries citing papers authored by Deepak Kumar Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Kumar Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Kumar Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Kumar Sharma. A scholar is included among the top collaborators of Deepak Kumar 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 Deepak Kumar Sharma. Deepak Kumar 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
1.
Sharma, Deepak Kumar, et al.. (2025). Development and characterization of Putranjiva roxburghii with addition of SiO 2 and graphene nanoparticles for using it as a cutting fluid. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 239(11). 4162–4181.
2.
Sharma, Deepak Kumar, et al.. (2024). Exploring the Next Frontier in Wireless Communication: 5G and Beyond for Enhanced Reliability and Low Latency in IoT and Autonomous Technologies. Nanotechnology Perceptions. 676–689. 1 indexed citations
3.
Sharma, Nonita, et al.. (2024). A deep learning-based neural style transfer optimization approach. Intelligent Data Analysis. 29(2). 320–331.
4.
Kumar, Suresh, et al.. (2024). SMART: Secured and Mobility Aware Routing Technique for Opportunistic IoT Network in Smart Cities. Journal of Mobile Multimedia. 335–358. 1 indexed citations
5.
Sharma, Deepak Kumar, et al.. (2024). Critical Review on Metal‐Based Cosmetic Products. Macromolecular Symposia. 413(1). 2 indexed citations
6.
Jain, Satbir, et al.. (2023). RF-BBFT: a random forest based multimedia big data routing technique for social opportunistic IoT networks. Multimedia Tools and Applications. 82(25). 39815–39839. 3 indexed citations
7.
Gupta, Koyel Datta, et al.. (2023). Fuzzy Controller-empowered Autoencoder Framework for anomaly detection in Cyber Physical Systems. Computers & Electrical Engineering. 108. 108685–108685. 3 indexed citations
8.
Dev, Amita, et al.. (2023). Residual networks for text-independent speaker identification: Unleashing the power of residual learning. Journal of Information Security and Applications. 80. 103665–103665. 5 indexed citations
9.
Gupta, Koyel Datta, et al.. (2023). BIDS: Blockchain and Intrusion Detection System Coalition for Securing Internet of Medical Things Networks. IEEE Journal of Biomedical and Health Informatics. 30(1). 7–16. 10 indexed citations
10.
11.
Dev, Amita, et al.. (2023). A Pragmatic Analysis of Machine Translation Techniques for Preserving the Authenticity of the Sanskrit Language. ACM Transactions on Asian and Low-Resource Language Information Processing. 4 indexed citations
12.
Dev, Amita, et al.. (2023). Enhancing Low-Resource Sanskrit-Hindi Translation through Deep Learning with Ayurvedic Text. ACM Transactions on Asian and Low-Resource Language Information Processing. 3 indexed citations
13.
Sharma, Deepak Kumar, et al.. (2023). ACCO: adaptive congestion control protocol for opportunistic networks. International Journal of Wireless and Mobile Computing. 25(3). 258–271.
14.
Dev, Amita, et al.. (2022). Hybridization Based Machine Translations for Low-Resource Language with Language Divergence. ACM Transactions on Asian and Low-Resource Language Information Processing. 2 indexed citations
15.
Gupta, Nitin, et al.. (2022). Trajectory optimization for the UAV assisted data collection in wireless sensor networks. Wireless Networks. 28(4). 1785–1796. 12 indexed citations
16.
Sharma, Deepak Kumar, et al.. (2021). An Opportunistic Approach for Cloud Service-Based IoT Routing Framework Administering Data, Transaction, and Identity Security. IEEE Internet of Things Journal. 9(4). 2505–2512. 11 indexed citations
17.
Gupta, Koyel Datta, et al.. (2021). A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT. Neural Processing Letters. 55(1). 205–228. 35 indexed citations
18.
Sharma, Deepak Kumar, et al.. (2019). Survey Paper on Data Routing Techniques Based on Social Relationship in Opportunistic Networks. SSRN Electronic Journal. 2 indexed citations
19.
Sharma, Deepak Kumar, et al.. (2019). Fuzzy Logic based Clustering Algorithm to Improve DEEC Protocol in Wireless Sensor Networks. 2 indexed citations
20.
Sharma, Deepak Kumar. (2013). Generation Of Hospital Waste: An Awareness Impact on Health and Environmental Protection. SHILAP Revista de lepidopterología. 1 indexed citations

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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