Srikant Srinivasan

2.4k total citations
94 papers, 1.6k citations indexed

About

Srikant Srinivasan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Srikant Srinivasan has authored 94 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 20 papers in Atomic and Molecular Physics, and Optics and 19 papers in Materials Chemistry. Recurrent topics in Srikant Srinivasan's work include Magnetic properties of thin films (11 papers), Quantum and electron transport phenomena (11 papers) and Combustion and flame dynamics (9 papers). Srikant Srinivasan is often cited by papers focused on Magnetic properties of thin films (11 papers), Quantum and electron transport phenomena (11 papers) and Combustion and flame dynamics (9 papers). Srikant Srinivasan collaborates with scholars based in United States, India and United Kingdom. Srikant Srinivasan's co-authors include Suresh Menon, Behtash Behin‐Aein, Patrick S. Schnable, Supriyo Datta, H. J. Grabke, Reetesh Ranjan, Aaron Kusmec, Dan Nettleton, Lie Tang and R. Trivedi and has published in prestigious journals such as Journal of the American Chemical Society, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Srikant Srinivasan

86 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srikant Srinivasan United States 24 390 312 302 274 271 94 1.6k
Shmuel M. Rubinstein United States 28 354 0.9× 557 1.8× 238 0.8× 359 1.3× 131 0.5× 62 3.1k
Liguo Chen China 22 723 1.9× 310 1.0× 240 0.8× 245 0.9× 92 0.3× 190 2.2k
A. E. Hosoi United States 24 183 0.5× 860 2.8× 444 1.5× 117 0.4× 73 0.3× 72 3.0k
Huihe Qiu Hong Kong 29 652 1.7× 1.5k 4.9× 149 0.5× 93 0.3× 82 0.3× 154 2.9k
Laurent Robert France 22 264 0.7× 187 0.6× 155 0.5× 100 0.4× 25 0.1× 91 2.0k
Guanshui Xu United States 28 205 0.5× 99 0.3× 659 2.2× 163 0.6× 111 0.4× 60 2.0k
M. A. Fortes Portugal 27 115 0.3× 244 0.8× 1.0k 3.4× 199 0.7× 397 1.5× 158 2.4k
Shuguang Li China 24 520 1.3× 711 2.3× 247 0.8× 208 0.8× 66 0.2× 138 2.1k
Jing Yang China 27 1.1k 2.8× 60 0.2× 184 0.6× 352 1.3× 213 0.8× 211 3.0k

Countries citing papers authored by Srikant Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Srikant Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srikant Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Srikant Srinivasan. A scholar is included among the top collaborators of Srikant Srinivasan 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 Srikant Srinivasan. Srikant Srinivasan 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.
Srinivasan, Srikant, Kristen Hall, Umaru Barrie, et al.. (2025). Lessons from the pandemic: a retrospective study and literature comparative review of provider and patient experiences with telemedicine in spine care. Journal of Neurosurgery Spine. 43(1). 122–137.
2.
Srinivasan, Srikant, James P. Caruso, Kristen Hall, et al.. (2025). Predictive factors for traumatic cerebral contusion volume, expansion, and outcomes. Journal of neurosurgery. 142(6). 1616–1624.
3.
Srinivasan, Srikant, et al.. (2025). Magnetic skyrmion: from fundamental physics to pioneering applications. Applied Physics Reviews. 12(1). 2 indexed citations
4.
5.
Garrick, Taylor R., et al.. (2024). Addressing Strain and Porosity Changes of Battery Electrodes Due to Reversible Expansion through DEM Simulations. Journal of The Electrochemical Society. 171(8). 83507–83507. 6 indexed citations
6.
Garrick, Taylor R., et al.. (2024). Quantifying the Impact of Microstructure Variation on Charging Capability in Lithium-Ion Batteries. Journal of The Electrochemical Society. 171(8). 83504–83504. 4 indexed citations
7.
Srinivasan, Srikant, et al.. (2024). Mapping of on-field soil nutrient variabilities as a guiding force for smart farming: a case study from FarmerZone sentinel-1 from three potato agroecological zones of India. Environmental Monitoring and Assessment. 196(9). 785–785. 2 indexed citations
8.
Garrick, Taylor R., Brian J. Koch, Miguel Fernández, et al.. (2024). Utilization of DEM Simulations to Quantify Cell Level Thickness and Volume Changes in Large Format Pouch Cells. Journal of The Electrochemical Society. 171(9). 93503–93503.
9.
Thakur, Divyansh, et al.. (2023). DeepThink IoT: The Strength of Deep Learning in Internet of Things. Artificial Intelligence Review. 56(12). 14663–14730. 28 indexed citations
10.
Kusmec, Aaron, Lakshmi Attigala, Xiongtao Dai, et al.. (2023). A genetic tradeoff for tolerance to moderate and severe heat stress in US hybrid maize. PLoS Genetics. 19(7). e1010799–e1010799. 6 indexed citations
11.
Zhou, Yan, Aaron Kusmec, Seyed Vahid Mirnezami, et al.. (2021). Identification and utilization of genetic determinants of trait measurement errors in image-based, high-throughput phenotyping. The Plant Cell. 33(8). 2562–2582. 7 indexed citations
12.
Senthilnathan, K., et al.. (2020). Experimental Investigation of Polymer Matrix Composites Gears with Different Fiber Proportions. International Journal of Vehicle Structures and Systems. 12(2). 8 indexed citations
13.
Shrestha, Rahul, et al.. (2019). High-Throughput and High-Speed Polar-Decoder VLSI-Architecture for 5G New Radio. 329–334. 6 indexed citations
14.
Zhou, Yan, Srikant Srinivasan, Seyed Vahid Mirnezami, et al.. (2018). Semiautomated Feature Extraction from RGB Images for Sorghum Panicle Architecture GWAS. PLANT PHYSIOLOGY. 179(1). 24–37. 46 indexed citations
15.
Kusmec, Aaron, Srikant Srinivasan, Dan Nettleton, & Patrick S. Schnable. (2017). Distinct genetic architectures for phenotype means and plasticities in Zea mays. Nature Plants. 3(9). 715–723. 90 indexed citations
16.
Srinivasan, Srikant, et al.. (2012). ``Spin inverter'' as building block of All Spin Logic devices. Bulletin of the American Physical Society. 2012. 1 indexed citations
17.
Srinivasan, Srikant. (2012). All spin logic: Modeling multi-magnet networks interacting via spin currents. Purdue e-Pubs (Purdue University System). 12 indexed citations
18.
Srinivasan, Srikant, et al.. (2011). Large-eddy simulation of pulsed high-speed subsonic jets in a turbulent crossflow. Journal of Turbulence. 13. N1–N1. 81 indexed citations
19.
Srinivasan, Srikant, et al.. (2002). A hierarchical neural network controller for legged robots. 291–295. 1 indexed citations
20.
Sahu, H. K., Srikant Srinivasan, & K. Krishan. (1980). Lattice static properties of vacancy clusters and interstitials in hcp magnesium: Computer simulation studies. Pramana. 15(2). 189–205. 4 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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