S. C. Sharma

7.6k total citations · 2 hit papers
143 papers, 5.4k citations indexed

About

S. C. Sharma is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, S. C. Sharma has authored 143 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Networks and Communications, 44 papers in Information Systems and 37 papers in Electrical and Electronic Engineering. Recurrent topics in S. C. Sharma's work include IoT and Edge/Fog Computing (28 papers), Cloud Computing and Resource Management (27 papers) and Energy Efficient Wireless Sensor Networks (18 papers). S. C. Sharma is often cited by papers focused on IoT and Edge/Fog Computing (28 papers), Cloud Computing and Resource Management (27 papers) and Energy Efficient Wireless Sensor Networks (18 papers). S. C. Sharma collaborates with scholars based in India, United States and Australia. S. C. Sharma's co-authors include Ruth M. Mickey, Mohit Kumar, Kalka Dubey, Santar Pal Singh, Kuldeep Narayan Tripathi, Tushar Bhardwaj, Prachi Deshpande, Kaushal Kumar, Sateesh K. Peddoju and Ravinder Ahuja and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

S. C. Sharma

134 papers receiving 4.9k citations

Hit Papers

Applied Multivariate Techniques 1997 2026 2006 2016 1997 1997 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. C. Sharma India 26 1.2k 960 603 512 392 143 5.4k
Jun Zhuang United States 40 496 0.4× 852 0.9× 355 0.6× 271 0.5× 662 1.7× 230 5.2k
Mark Hansen United States 41 1.1k 0.9× 351 0.4× 1.1k 1.8× 794 1.6× 1.1k 2.9× 181 8.3k
Shu‐Ching Chen United States 35 829 0.7× 656 0.7× 2.4k 3.9× 268 0.5× 100 0.3× 299 6.8k
Ming Tang China 28 572 0.5× 352 0.4× 854 1.4× 224 0.4× 418 1.1× 86 3.6k
Paulo Cortez Portugal 35 357 0.3× 731 0.8× 2.5k 4.1× 368 0.7× 191 0.5× 185 6.2k
Patrick J. F. Groenen Netherlands 32 253 0.2× 232 0.2× 1.1k 1.8× 300 0.6× 265 0.7× 122 6.4k
Jun Liu China 43 404 0.3× 567 0.6× 2.1k 3.4× 367 0.7× 281 0.7× 455 6.7k
Mark Turner United Kingdom 11 776 0.6× 1.8k 1.9× 807 1.3× 173 0.3× 203 0.5× 22 4.0k
Ramesh Sharda United States 32 286 0.2× 868 0.9× 1.5k 2.6× 205 0.4× 817 2.1× 139 6.7k
Han Yu China 39 924 0.8× 996 1.0× 3.5k 5.8× 581 1.1× 238 0.6× 352 6.8k

Countries citing papers authored by S. C. Sharma

Since Specialization
Citations

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

Fields of papers citing papers by S. C. Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. C. Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of S. C. Sharma. A scholar is included among the top collaborators of S. C. 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 S. C. Sharma. S. C. 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
3.
Arora, Nitin & S. C. Sharma. (2024). A comparative study on facial image retrieval using local patterns. Multimedia Tools and Applications. 83(28). 70637–70692. 2 indexed citations
4.
Kumar, Kaushal, Ajay Kumar, Vinay Kumar, Aditya Jain, & S. C. Sharma. (2024). Band gap and gate dielectric engineered novel Si0.9Ge0.1/InAs junctionless TFET for RFIC applications. Engineering Research Express. 6(3). 35340–35340.
5.
Kumar, Kaushal, Ajay Kumar, Vinay Kumar, & S. C. Sharma. (2023). Band gap and gate underlap engineered novel Si0.2Ge0.8/GaAs JLTFET with dual dielectric gate for improved wireless applications. AEU - International Journal of Electronics and Communications. 166. 154671–154671. 10 indexed citations
6.
Kumar, Kaushal, Ajay Kumar, Vinay Kumar, & S. C. Sharma. (2023). Comparative Investigation of Band Gap and Gate Metal Engineered Novel Si0.2Ge0.8/GaAs Charge Plasma-Based JLTFET for Improved Electrical Performance. Silicon. 15(11). 4689–4702. 12 indexed citations
7.
Kumar, Kaushal, Ajay Kumar, Vinay Kumar, Aditya Jain, & S. C. Sharma. (2023). Ambipolarity Suppression of Band Gap and Gate Dielectric Engineered Novel Si0.2Ge0.8/GaAs JLTFET Using Gate Overlap Technique. Silicon. 15(18). 7837–7854. 8 indexed citations
8.
Kaplun, Dmitrii, et al.. (2023). Optimized MAC Protocol Using Fuzzy-Based Framework for Cognitive Radio AdHoc Networks. IEEE Access. 11. 27506–27518. 3 indexed citations
9.
Arora, Nitin, et al.. (2023). Medical image retrieval using a novel local relative directional edge pattern and Zernike moments. Multimedia Tools and Applications. 82(20). 31737–31757. 5 indexed citations
10.
Arora, Nitin & S. C. Sharma. (2023). ETLBP and ERDLBP descriptors for efficient facial image retrieval in CBIR systems. Multimedia Tools and Applications. 83(4). 9817–9851. 3 indexed citations
11.
Kumar, Kaushal, Preeti Yadav, S. C. Sharma, et al.. (2023). Optimizing RF Parameters in Novel Si1-xGex/GaAs JLTFET Through Ge Mole Fraction Variation. 5. 1–5. 2 indexed citations
12.
Jain, Gourav, Tripti Mahara, S. C. Sharma, & Arun Kumar Sangaiah. (2022). A Cognitive Similarity-Based Measure to Enhance the Performance of Collaborative Filtering-Based Recommendation System. IEEE Transactions on Computational Social Systems. 9(6). 1785–1793. 22 indexed citations
13.
Ahuja, Ravinder & S. C. Sharma. (2021). Exploiting Machine Learning and Feature Selection Algorithms to Predict Instructor Performance in Higher Education. Journal of information science and engineering. 37(5). 993–1009. 8 indexed citations
14.
Sharma, S. C., et al.. (2021). Context aware Routing to Assist Routing Decisions for Quality Improvement in Multi Hop Ad hoc Networks. Defence Science Journal. 71(1). 46–54.
15.
Alarifi, Abdulaziz, Kalka Dubey, Mohammed Amoon, et al.. (2020). Energy-Efficient Hybrid Framework for Green Cloud Computing. IEEE Access. 8. 115356–115369. 36 indexed citations
16.
Arora, Nitin, et al.. (2020). Multi spectral classification and recognition of breast cancer and pneumonia. Polish Journal of Medical Physics And Engineering. 26(1). 1–9. 2 indexed citations
17.
Ahuja, Ravinder, S. C. Sharma, & Maaruf Ali. (2019). A Diabetic Disease Prediction Model Based on Classification Algorithms. SSRN Electronic Journal. 1 indexed citations
18.
Kumar, Mohit & S. C. Sharma. (2016). Priority Aware Longest Job First (PA-LJF) algorithm for utilization of the resource in cloud environment. International Conference on Computing for Sustainable Global Development. 415–420. 10 indexed citations
19.
Sharma, S. C., et al.. (2013). DEPLOYING A PRIVATE CLOUD? GO THROUGH THE ERRORS FIRST. 4 indexed citations
20.
Zutshi, U, et al.. (1990). Kinetic Fate of Potassium Embelate, a Non-Narcotic Centrally Acting Analgesic after Oral and Intravenous Administration. Pharmacology. 40(3). 179–184. 13 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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