Mrigank Sharad

1.1k total citations
57 papers, 731 citations indexed

About

Mrigank Sharad is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Mrigank Sharad has authored 57 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Electrical and Electronic Engineering, 26 papers in Atomic and Molecular Physics, and Optics and 11 papers in Artificial Intelligence. Recurrent topics in Mrigank Sharad's work include Advanced Memory and Neural Computing (27 papers), Magnetic properties of thin films (20 papers) and Quantum and electron transport phenomena (17 papers). Mrigank Sharad is often cited by papers focused on Advanced Memory and Neural Computing (27 papers), Magnetic properties of thin films (20 papers) and Quantum and electron transport phenomena (17 papers). Mrigank Sharad collaborates with scholars based in United States, India and Singapore. Mrigank Sharad's co-authors include Kaushik Roy, Deliang Fan, Georgios Panagopoulos, Charles Augustine, Anand Raghunathan, Rangharajan Venkatesan, Karthik Yogendra, Abhronil Sengupta, Indrajit Chakrabarti and Xuanyao Fong and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Mrigank Sharad

55 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mrigank Sharad United States 13 641 249 186 91 77 57 731
M.J. Avedillo Spain 14 717 1.1× 102 0.4× 200 1.1× 54 0.6× 64 0.8× 114 830
William A. Borders Japan 8 548 0.9× 293 1.2× 357 1.9× 57 0.6× 36 0.5× 19 794
Advait Madhavan United States 12 383 0.6× 85 0.3× 144 0.8× 50 0.5× 37 0.5× 37 483
Amogh Agrawal United States 15 673 1.0× 54 0.2× 136 0.7× 60 0.7× 38 0.5× 32 774
Georgios Panagopoulos United States 14 633 1.0× 282 1.1× 69 0.4× 61 0.7× 18 0.2× 32 694
Ahmed Zeeshan Pervaiz United States 6 317 0.5× 164 0.7× 246 1.3× 51 0.6× 29 0.4× 10 508
Irina Kataeva Japan 13 645 1.0× 132 0.5× 150 0.8× 33 0.4× 95 1.2× 25 740
Indranil Chakraborty United States 15 680 1.1× 52 0.2× 202 1.1× 52 0.6× 91 1.2× 36 815
Joseph S. Friedman United States 17 591 0.9× 275 1.1× 227 1.2× 37 0.4× 27 0.4× 68 723
Christopher H. Bennett United States 18 916 1.4× 187 0.8× 309 1.7× 31 0.3× 78 1.0× 59 1.0k

Countries citing papers authored by Mrigank Sharad

Since Specialization
Citations

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

Fields of papers citing papers by Mrigank Sharad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mrigank Sharad

This figure shows the co-authorship network connecting the top 25 collaborators of Mrigank Sharad. A scholar is included among the top collaborators of Mrigank Sharad 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 Mrigank Sharad. Mrigank Sharad 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.
Chakrabarti, Indrajit, et al.. (2021). Power-efficient Spike Sorting Scheme Using Analog Spiking Neural Network Classifier. ACM Journal on Emerging Technologies in Computing Systems. 17(2). 1–29. 6 indexed citations
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Srimani, Tathagata, et al.. (2016). Robust and high sensitivity biosensor using injection locked spin torque nano-oscillators. 1–2. 1 indexed citations
6.
Datta, Raja, et al.. (2016). Avoiding event driven energy drainage in wireless acoustic sensor nodes for security application. 1991–1996. 1 indexed citations
7.
Fan, Deliang, Mrigank Sharad, & Kaushik Roy. (2014). Design and Synthesis of Ultralow Energy Spin-Memristor Threshold Logic. IEEE Transactions on Nanotechnology. 13(3). 574–583. 35 indexed citations
8.
Roy, Kaushik, Mrigank Sharad, Deliang Fan, & Karthik Yogendra. (2013). Exploring Boolean and non-Boolean computing with spin torque devices. International Conference on Computer Aided Design. 576–580. 2 indexed citations
9.
Roy, Kaushik, Mrigank Sharad, Deliang Fan, & Karthik Yogendra. (2013). Beyond charge-based computation: Boolean and non-Boolean computing with spin torque devices. 139–142. 7 indexed citations
10.
Sharad, Mrigank, Rangharajan Venkatesan, Anand Raghunathan, & Kaushik Roy. (2013). Multi-level magnetic RAM using domain wall shift for energy-efficient, high-density caches. 64–69. 16 indexed citations
11.
Sharad, Mrigank, Deliang Fan, & Kaushik Roy. (2013). Low power and compact mixed-mode signal processing hardware using spin-neurons. 189–195. 3 indexed citations
12.
Sharad, Mrigank, Deliang Fan, Karthik Yogendra, & Kaushik Roy. (2013). Ultra-Low power neuromorphic computing with spin-torque devices. 1–2. 4 indexed citations
13.
Roy, Kaushik, Mrigank Sharad, Deliang Fan, & Karthik Yogendra. (2013). Beyond charge-based computation: Boolean and non-Boolean computing with spin torque devices. 311. 139–142. 6 indexed citations
14.
Sharad, Mrigank, Karthik Yogendra, & Kaushik Roy. (2013). Dual pillar spin torque nano-oscillator. Applied Physics Letters. 103(15). 8 indexed citations
15.
Sharad, Mrigank, Rangharajan Venkatesan, Xuanyao Fong, Anand Raghunathan, & Kaushik Roy. (2013). Energy-efficient MRAM access scheme using hybrid circuits based on spin-torque sensors. National University of Singapore. 1–4. 1 indexed citations
16.
Sharad, Mrigank, Charles Augustine, Georgios Panagopoulos, & Kaushik Roy. (2012). Spin-Based Neuron Model With Domain-Wall Magnets as Synapse. IEEE Transactions on Nanotechnology. 11(4). 843–853. 141 indexed citations
17.
Sharad, Mrigank, Georgios Panagopoulos, Charles Augustine, & Kaushik Roy. (2012). NLSTT-MRAM: Robust spin transfer torque MRAM using non-local spin injection for write. 2. 97–98. 5 indexed citations
18.
Sharad, Mrigank, Georgios Panagopoulos, & Kaushik Roy. (2012). Spin neuron for ultra low power computational hardware. 221–222. 20 indexed citations
19.
Sharad, Mrigank, Charles Augustine, Georgios Panagopoulos, & Kaushik Roy. (2012). Spin based neuron-synapse module for ultra low power programmable computational networks. Zenodo (CERN European Organization for Nuclear Research). 309. 1–7. 10 indexed citations
20.
Sharad, Mrigank, et al.. (2011). A New Double Data Rate(DDR) Dual-Mode Duobinary Transmitter Architecture. 2. 12–17. 3 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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