Shekhar Verma

3.2k total citations
210 papers, 2.1k citations indexed

About

Shekhar Verma is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Shekhar Verma has authored 210 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Computer Networks and Communications, 86 papers in Electrical and Electronic Engineering and 80 papers in Artificial Intelligence. Recurrent topics in Shekhar Verma's work include Energy Efficient Wireless Sensor Networks (42 papers), Vehicular Ad Hoc Networks (VANETs) (40 papers) and Privacy-Preserving Technologies in Data (33 papers). Shekhar Verma is often cited by papers focused on Energy Efficient Wireless Sensor Networks (42 papers), Vehicular Ad Hoc Networks (VANETs) (40 papers) and Privacy-Preserving Technologies in Data (33 papers). Shekhar Verma collaborates with scholars based in India, United States and Australia. Shekhar Verma's co-authors include Geetam Singh Tomar, Brijesh Kumar Chaurasia, S. Venkatesan, Vijay Kumar Yadav, Ranjeet Singh Tomar, Nitish Andola, Manish Kumar, Vinay Rishiwal, S. Venkatesan and Abhishek Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Antimicrobial Agents and Chemotherapy and Expert Systems with Applications.

In The Last Decade

Shekhar Verma

194 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shekhar Verma India	23	1.0k	808	605	444	265	210	2.1k
Ammar Muthanna Russia	26	1.2k 1.2×	771 1.0×	327 0.5×	461 1.0×	265 1.0×	165	2.1k
Feilong Tang China	23	1.3k 1.2×	622 0.8×	480 0.8×	332 0.7×	172 0.6×	161	2.0k
Y. Charlie Hu United States	31	2.3k 2.2×	916 1.1×	325 0.5×	239 0.5×	393 1.5×	85	2.9k
Minglu Li China	22	1.6k 1.5×	718 0.9×	220 0.4×	307 0.7×	147 0.6×	146	2.0k
Xiaojun Wang China	27	613 0.6×	825 1.0×	983 1.6×	453 1.0×	173 0.7×	264	2.3k
Floriano De Rango Italy	29	2.2k 2.1×	1.3k 1.7×	219 0.4×	187 0.4×	243 0.9×	278	3.0k
Shubhani Aggarwal India	18	638 0.6×	663 0.8×	243 0.4×	737 1.7×	535 2.0×	56	2.0k
Shalini Batra India	22	850 0.8×	436 0.5×	616 1.0×	455 1.0×	217 0.8×	74	1.6k
Dan Wu China	33	1.7k 1.7×	1.9k 2.3×	578 1.0×	210 0.5×	309 1.2×	191	3.4k

Countries citing papers authored by Shekhar Verma

Since Specialization

Citations

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

Fields of papers citing papers by Shekhar Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shekhar Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Shekhar Verma. A scholar is included among the top collaborators of Shekhar Verma 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 Shekhar Verma. Shekhar Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Singh, Upendra, et al.. (2024). Meta-DPSTL: meta learning-based differentially private self-taught learning. International Journal of Machine Learning and Cybernetics. 15(9). 4021–4053.

Verma, Shekhar, et al.. (2024). FAM: Adaptive federated meta-learning for MRI data. Pattern Recognition Letters. 186. 205–212. 2 indexed citations

Verma, Shekhar, et al.. (2024). MAC: a meta-learning approach for feature learning and recombination. Pattern Analysis and Applications. 27(2).

Verma, Shekhar, et al.. (2023). Point of Care diagnostics - Using Nanomaterials as detection probes. Research Journal of Pharmacy and Technology. 3483–3488. 1 indexed citations

Yadav, Vijay Kumar, Nitish Andola, Shekhar Verma, & S. Venkatesan. (2022). Anonymous and Linkable Location-Based Services. IEEE Transactions on Vehicular Technology. 71(9). 9397–9409. 15 indexed citations

Singh, Abhishek, et al.. (2021). A rotation based regularization method for semi-supervised learning. Pattern Analysis and Applications. 24(3). 887–905. 1 indexed citations

Andola, Nitish, et al.. (2020). PoEWAL: A lightweight consensus mechanism for blockchain in IoT. Pervasive and Mobile Computing. 69. 101291–101291. 49 indexed citations

Singh, Abhishek, et al.. (2020). Cross-covariance based affinity for graphs. Applied Intelligence. 51(6). 3844–3864. 4 indexed citations

Singh, Vishal Krishna, Manish Kumar, & Shekhar Verma. (2018). Node Scheduling and Compressed Sampling for Event Reporting in WSNs. IEEE Transactions on Network Science and Engineering. 6(3). 418–431. 10 indexed citations

10.

Verma, Shekhar, et al.. (2018). Corona Based Optimal Node Deployment Distribution in Wireless Sensor Networks. Wireless Personal Communications. 102(1). 325–354. 8 indexed citations

11.

Pandey, Nitin, et al.. (2018). FL-HEED: Fuzzy Logic based HEED Protocol for Wireless Sensor Networks. Journal of Emerging Technologies and Innovative Research.

12.

Singh, Vishal Krishna, Manish Kumar, & Shekhar Verma. (2017). Accurate Detection of Important Events in WSNs. IEEE Systems Journal. 13(1). 248–257. 14 indexed citations

13.

Verma, Shekhar, et al.. (2013). A Privacy Preserving Scheme in Wireless Sensor Networks. 1(1). 1–16.

14.

Pandey, Manjusha & Shekhar Verma. (2011). Energy Consumption Patterns for Different Mobility Conditions in WSN. Wireless Sensor Network. 3(12). 378–383. 2 indexed citations

15.

Verma, Shekhar, et al.. (2010). Viability of multivariate cryptosystems for WSN. International Conference for Internet Technology and Secured Transactions. 1–6. 1 indexed citations

16.

Rishiwal, Vinay, et al.. (2009). Power Aware Routing in Ad Hoc Wireless Networks. SHILAP Revista de lepidopterología. 53 indexed citations

17.

Chaurasia, Brijesh Kumar & Shekhar Verma. (2008). Maximizing anonymity of a vehicle through pseudonym updation. 83. 7 indexed citations

18.

Bedi, S. S., et al.. (2008). Secure Digital Image Watermarking Scheme for Copyright Protection and Buyer Fingerprinting. Lecture notes in computer science. 2170(1). 518–522. 1 indexed citations

19.

Sahu, Rajendra, et al.. (2006). Feature selection using Haar wavelet power spectrum. BMC Bioinformatics. 7(1). 432–432. 22 indexed citations

20.

Verma, Shekhar, et al.. (2005). SACA: SCM-based adaptive clustering algorithm. 271–279. 5 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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