Jayasimha Atulasimha

3.3k total citations
102 papers, 2.3k citations indexed

About

Jayasimha Atulasimha is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Jayasimha Atulasimha has authored 102 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Atomic and Molecular Physics, and Optics, 51 papers in Electronic, Optical and Magnetic Materials and 50 papers in Electrical and Electronic Engineering. Recurrent topics in Jayasimha Atulasimha's work include Magnetic properties of thin films (50 papers), Advanced Memory and Neural Computing (32 papers) and Magnetic Properties and Applications (23 papers). Jayasimha Atulasimha is often cited by papers focused on Magnetic properties of thin films (50 papers), Advanced Memory and Neural Computing (32 papers) and Magnetic Properties and Applications (23 papers). Jayasimha Atulasimha collaborates with scholars based in United States, India and France. Jayasimha Atulasimha's co-authors include Supriyo Bandyopadhyay, Alison B. Flatau, Kuntal Roy, Ayan Biswas, Hasnain Ahmad, Dhritiman Bhattacharya, Supratik Datta, Noel D’Souza, S. Bandyopadhyay and Chaitanya Mudivarthi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Applied Physics Letters.

In The Last Decade

Jayasimha Atulasimha

98 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jayasimha Atulasimha United States 25 1.4k 1.3k 857 602 437 102 2.3k
Kai-Zhong Gao United States 19 594 0.4× 1.1k 0.9× 320 0.4× 282 0.5× 151 0.3× 74 1.5k
H. Yoda Japan 23 673 0.5× 1.3k 1.0× 987 1.2× 374 0.6× 109 0.2× 96 1.7k
Seung H. Kang United States 26 350 0.2× 892 0.7× 1.5k 1.7× 224 0.4× 91 0.2× 96 1.9k
Hong Tang United States 21 847 0.6× 540 0.4× 748 0.9× 167 0.3× 203 0.5× 110 2.0k
Haibin Zhao China 24 515 0.4× 467 0.4× 983 1.1× 632 1.0× 119 0.3× 93 1.7k
Kan Yao United States 24 1.3k 0.9× 729 0.6× 481 0.6× 178 0.3× 149 0.3× 74 2.1k
Mohammad Montazeri United States 20 315 0.2× 1.5k 1.2× 617 0.7× 843 1.4× 500 1.1× 33 2.4k
Shiyang Zhu Singapore 36 491 0.3× 1.7k 1.3× 2.5k 2.9× 409 0.7× 123 0.3× 138 3.4k
Mingyao Lin China 32 630 0.4× 643 0.5× 2.1k 2.4× 1.2k 2.0× 350 0.8× 193 3.3k
Zuojia Wang China 29 1.9k 1.3× 906 0.7× 575 0.7× 150 0.2× 285 0.7× 93 2.7k

Countries citing papers authored by Jayasimha Atulasimha

Since Specialization
Citations

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

Fields of papers citing papers by Jayasimha Atulasimha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayasimha Atulasimha

This figure shows the co-authorship network connecting the top 25 collaborators of Jayasimha Atulasimha. A scholar is included among the top collaborators of Jayasimha Atulasimha 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 Jayasimha Atulasimha. Jayasimha Atulasimha 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.
Atulasimha, Jayasimha, et al.. (2025). Antiferromagnetic skyrmion-based energy-efficient leaky integrate and fire neuron device. Nanotechnology. 36(16). 165201–165201.
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Kaushik, Brajesh Kumar, et al.. (2024). Skyrmion-mediated nonvolatile ternary memory. Scientific Reports. 14(1). 17199–17199. 9 indexed citations
4.
Bhattacharya, Dhritiman, et al.. (2024). Physically Secure Logic Locking With Nanomagnet Logic. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(1). 105–118. 1 indexed citations
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Marino, Daniel, et al.. (2023). Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting. IEEE Access. 11. 124725–124737. 2 indexed citations
8.
Zhou, Peng, Nathan McDonald, Felipe García‐Sánchez, et al.. (2023). Passive frustrated nanomagnet reservoir computing. Communications Physics. 6(1). 4 indexed citations
9.
Alam, M. S., et al.. (2022). Skyrmion based energy-efficient straintronic physical reservoir computing. Neuromorphic Computing and Engineering. 2(4). 44011–44011. 11 indexed citations
10.
Hayashi, Kensuke, et al.. (2022). Voltage modulated magnetic anisotropy of rare earth iron garnet thin films on a piezoelectric substrate. Applied Physics Letters. 121(25). 252401–252401. 9 indexed citations
11.
Bhattacharya, Dhritiman, et al.. (2021). Focused Surface Acoustic Wave induced nano-oscillator based reservoir computing. arXiv (Cornell University). 7 indexed citations
12.
Singh, Sachin Kumar, et al.. (2020). A 3-D NanoMagnetoElectrokinetic model for ultra-high precision assembly of ferromagnetic NWs using magnetic-field assisted dielectrophoresis. RSC Advances. 10(65). 39763–39770. 4 indexed citations
13.
Bandyopadhyay, Supriyo, et al.. (2016). Binary information propagation in circular magnetic nanodot arrays using strain induced magnetic anisotropy. Nanotechnology. 27(43). 43LT01–43LT01. 14 indexed citations
14.
Biswas, Ayan, Jayasimha Atulasimha, & Supriyo Bandyopadhyay. (2015). The straintronic spin-neuron. Nanotechnology. 26(28). 285201–285201. 29 indexed citations
15.
Bandyopadhyay, Saumil, et al.. (2014). Coherent Spin Transport and Suppression of Spin Relaxation in InSb Nanowires with Single Subband Occupancy at Room Temperature. Small. 10(21). 4379–4385. 6 indexed citations
16.
Atulasimha, Jayasimha, et al.. (2012). Ultra low-power straintronics with multiferroic nanomagnets: magnetization dynamics, universal logic gates and associated energy dissipation. Bulletin of the American Physical Society. 2012. 1 indexed citations
17.
Roy, Kuntal, Supriyo Bandyopadhyay, & Jayasimha Atulasimha. (2011). Hybrid spintronics and straintronics: A magnetic technology for ultra low energy computing and signal processing. Applied Physics Letters. 99(6). 177 indexed citations
18.
Roy, Kuntal, et al.. (2011). Magnetization dynamics, Bennett clocking and associated energy dissipation in multiferroic logic. Nanotechnology. 22(30). 309501–309501. 7 indexed citations
19.
Datta, Supratik, Jayasimha Atulasimha, Chaitanya Mudivarthi, & Alison B. Flatau. (2009). Modeling of Magnetomechanical Actuators in Laminated Structures. Journal of Intelligent Material Systems and Structures. 20(9). 1121–1135. 15 indexed citations
20.
Atulasimha, Jayasimha, Alison B. Flatau, & Eric Summers. (2007). Characterization and energy-based model of the magnetomechanical behavior of polycrystalline iron–gallium alloys. Smart Materials and Structures. 16(4). 1265–1276. 61 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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