Sharad Saxena

1.8k total citations
115 papers, 1.3k citations indexed

About

Sharad Saxena is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Sharad Saxena has authored 115 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 44 papers in Computer Networks and Communications and 21 papers in Hardware and Architecture. Recurrent topics in Sharad Saxena's work include Energy Efficient Wireless Sensor Networks (21 papers), VLSI and Analog Circuit Testing (20 papers) and Integrated Circuits and Semiconductor Failure Analysis (18 papers). Sharad Saxena is often cited by papers focused on Energy Efficient Wireless Sensor Networks (21 papers), VLSI and Analog Circuit Testing (20 papers) and Integrated Circuits and Semiconductor Failure Analysis (18 papers). Sharad Saxena collaborates with scholars based in India, United States and Iran. Sharad Saxena's co-authors include Deepak Mehta, S. Minehane, Robin Hickman, M. Quarantelli, Olu Ashiru, David Banister, J.A. Babcock, Christopher P. Hess, Rajesh Kumar and Singara Singh Kasana and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Electron Devices and IEEE Transactions on Industrial Informatics.

In The Last Decade

Sharad Saxena

102 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharad Saxena India 18 710 362 186 100 95 115 1.3k
Yang Sun China 24 985 1.4× 916 2.5× 67 0.4× 217 2.2× 42 0.4× 88 1.7k
Antonella Longo Italy 15 117 0.2× 250 0.7× 36 0.2× 126 1.3× 77 0.8× 111 844
Håkan Grahn Sweden 14 271 0.4× 426 1.2× 319 1.7× 256 2.6× 14 0.1× 105 1.2k
Ricardo Oliveira Brazil 18 167 0.2× 582 1.6× 102 0.5× 267 2.7× 16 0.2× 120 1.2k
Vera Stavroulaki Greece 15 574 0.8× 876 2.4× 18 0.1× 127 1.3× 40 0.4× 75 1.2k
Franco Davoli Italy 20 1.2k 1.8× 1.7k 4.8× 84 0.5× 100 1.0× 49 0.5× 229 2.2k
Christos Douligeris United States 16 200 0.3× 335 0.9× 18 0.1× 68 0.7× 29 0.3× 92 778
Yasuo Tan Japan 16 343 0.5× 550 1.5× 29 0.2× 153 1.5× 14 0.1× 170 1.1k
Zhao Zhang China 21 265 0.4× 697 1.9× 31 0.2× 285 2.9× 108 1.1× 88 1.4k
Kwanho Kim South Korea 23 690 1.0× 244 0.7× 259 1.4× 328 3.3× 86 0.9× 86 1.3k

Countries citing papers authored by Sharad Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Sharad Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharad Saxena

This figure shows the co-authorship network connecting the top 25 collaborators of Sharad Saxena. A scholar is included among the top collaborators of Sharad Saxena 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 Sharad Saxena. Sharad Saxena 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.
Brożek, Tomasz, et al.. (2025). Stress-Related Local Layout Effects in FinFET Technology and Device Design Sensitivity. IEEE Transactions on Semiconductor Manufacturing. 38(2). 117–125.
2.
Brożek, Tomasz, et al.. (2023). In-Product BTI Aging Sensor for Reliability Screening and Early Detection of Material at Risk. 1–4. 1 indexed citations
3.
Saxena, Sharad, et al.. (2023). NCGTM: A Noncooperative Game-Theoretic Model to Assist IDS in Cloud Environment. IEEE Transactions on Industrial Informatics. 20(3). 3124–3132. 7 indexed citations
4.
Kumar, Rajesh, et al.. (2022). OCTRA‐5G: Osmotic computing based task scheduling and resource allocation framework for 5G. Concurrency and Computation Practice and Experience. 34(28). 3 indexed citations
5.
Mehta, Deepak & Sharad Saxena. (2021). Load‐based node ranked low‐energy adaptive clustering hierarchy: An enhanced energy‐efficient algorithm for cluster head selection in wireless sensor networks. Concurrency and Computation Practice and Experience. 33(21). 2 indexed citations
6.
Kumar, Rajesh, et al.. (2020). Osmotic Computing and Related Challenges: A Survey. 378–383. 9 indexed citations
7.
Saxena, Sharad, et al.. (2017). Triangular Pyramidal Topology to Measure Temporal and Spatial Variations in Shallow River Water Using Ad-hoc Sensors Network.. 39. 1–35. 7 indexed citations
8.
Saxena, Sharad, et al.. (2017). A sustainable multi-parametric sensors network topology for river water quality monitoring. Wireless Networks. 24(8). 3241–3265. 18 indexed citations
9.
Saxena, Sharad, et al.. (2017). Intelligent Resource Inquisition Framework on Internet-of-Things. Computers & Electrical Engineering. 58. 265–281. 15 indexed citations
10.
Li, Yu, Sharad Saxena, Christopher P. Hess, et al.. (2015). Statistical library characterization using belief propagation across multiple technology nodes. Design, Automation, and Test in Europe. 1383–1388. 3 indexed citations
11.
Saxena, Sharad, et al.. (2015). A SURVEY- Academic demolition via internet addiction. International Conference on Computing for Sustainable Global Development. 1769–1774. 1 indexed citations
12.
Chen, Lin, et al.. (2014). Improving Interchanges - Towards Better Multimodal Railway Hubs in the People's Republic of China. Asian Development Bank eBooks. 3 indexed citations
13.
Li, Yu, Sharad Saxena, Christopher P. Hess, et al.. (2014). Efficient performance estimation with very small sample size via physical subspace projection and maximum a posteriori estimation. Design, Automation, and Test in Europe. 226. 5 indexed citations
14.
Zhang, Wangyang, Karthik Balakrishnan, Xin Li, et al.. (2013). Efficient Spatial Pattern Analysis for Variation Decomposition Via Robust Sparse Regression. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations
15.
16.
Sengupta, Anirvan M., et al.. (2005). Application-specific worst case corners using response surfaces and statistical models. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 24(9). 1372–1380. 66 indexed citations
17.
Guardiani, Carlo, et al.. (2002). Analog IP Testing: Diagnosis and Optimization. Design, Automation, and Test in Europe. 192–196. 1 indexed citations
18.
Davis, Jaimie N., et al.. (1998). Yield Prediction Under Non-Standard Data Distributions. TechConnect Briefs. 122–126.
19.
Barna, Gabriel G., Lee M. Loewenstein, Stephanie Watts Butler, et al.. (1994). Sensor integration into plasma etch reactors of a developmental pilot line. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 12(4). 2860–2867. 4 indexed citations
20.
Saxena, Sharad, et al.. (1990). Explaining temporal differences to create useful concepts for evaluating states. National Conference on Artificial Intelligence. 15(1). 882–888. 19 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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