Suhas Kumar

4.2k total citations · 4 hit papers
62 papers, 3.0k citations indexed

About

Suhas Kumar is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Artificial Intelligence. According to data from OpenAlex, Suhas Kumar has authored 62 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 16 papers in Polymers and Plastics and 13 papers in Artificial Intelligence. Recurrent topics in Suhas Kumar's work include Advanced Memory and Neural Computing (44 papers), Ferroelectric and Negative Capacitance Devices (19 papers) and Transition Metal Oxide Nanomaterials (15 papers). Suhas Kumar is often cited by papers focused on Advanced Memory and Neural Computing (44 papers), Ferroelectric and Negative Capacitance Devices (19 papers) and Transition Metal Oxide Nanomaterials (15 papers). Suhas Kumar collaborates with scholars based in United States, South Korea and Spain. Suhas Kumar's co-authors include R. Stanley Williams, John Paul Strachan, Ziwen Wang, Yoshio Nishi, Wei Lü, Yuchao Yang, Xinxin Wang, Matthew D. Pickett, A. L. D. Kilcoyne and D. J. Vine and has published in prestigious journals such as Nature, Chemical Reviews and Advanced Materials.

In The Last Decade

Suhas Kumar

55 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing

2017 476 citations Suhas Kumar, John Paul Strachan et al. Nature profile →
Dynamical memristors for higher-complexity neuromorphic computing

2022 367 citations Suhas Kumar, John Paul Strachan et al. profile →
Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks

2020 284 citations Suhas Kumar, Thomas Van Vaerenbergh et al. profile →
Third-order nanocircuit elements for neuromorphic engineering

2020 268 citations Suhas Kumar, R. Stanley Williams et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suhas Kumar United States	25	2.7k	887	708	681	593	62	3.0k
Mohammed A. Zidan Saudi Arabia	22	3.6k 1.4×	1.5k 1.7×	709 1.0×	469 0.7×	909 1.5×	43	4.0k
M. Prezioso United States	22	4.3k 1.6×	1.9k 2.1×	698 1.0×	550 0.8×	721 1.2×	43	4.5k
Saumil Joshi United States	15	3.3k 1.2×	1.6k 1.8×	606 0.9×	549 0.8×	365 0.6×	22	3.4k
Rivu Midya United States	12	4.0k 1.5×	2.0k 2.2×	912 1.3×	679 1.0×	639 1.1×	20	4.1k
Idongesit E. Ebong United States	6	3.5k 1.3×	1.9k 2.2×	817 1.2×	466 0.7×	396 0.7×	9	3.6k
Wenqiang Zhang China	17	4.3k 1.6×	1.5k 1.7×	706 1.0×	451 0.7×	1.0k 1.7×	41	4.6k
Brian D. Hoskins United States	16	3.4k 1.3×	1.6k 1.9×	577 0.8×	484 0.7×	538 0.9×	41	3.5k
Sung Hyun Jo United States	10	4.6k 1.7×	2.4k 2.8×	949 1.3×	715 1.0×	403 0.7×	19	4.8k
Shinhyun Choi South Korea	22	3.5k 1.3×	1.7k 1.9×	599 0.8×	694 1.0×	380 0.6×	36	3.7k
Zhiyong Li United States	21	5.4k 2.0×	2.6k 2.9×	919 1.3×	871 1.3×	728 1.2×	70	5.7k

Countries citing papers authored by Suhas Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Suhas Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhas Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Suhas Kumar. A scholar is included among the top collaborators of Suhas Kumar 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 Suhas Kumar. Suhas Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

González, Martín, Catalin D. Spataru, Joshua D. Sugar, et al.. (2025). Dynamic Doping of Nickelates with Lithium Reveals a Widely Tunable Insulator–Metal Transition with Charge Filling and Band Renormalization Regimes. ACS Nano. 19(31). 28422–28431.

Banik, Avishek, Hiroaki Maekawa, Javier Fajardo, et al.. (2025). Unequal {110} Facets: The Potential Role of Intraparticle Heterogeneity and Facet Termination in Photoelectrochemical Activity of Single BiVO₄ Particles. ACS Nano. 19(6). 6250–6262. 3 indexed citations

Kumar, Suhas, et al.. (2025). Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars. Advanced Intelligent Systems. 7(12).

Woo, Kyung Seok, Timothy D. Brown, Minseong Park, et al.. (2024). True random number generation using the spin crossover in LaCoO3. Nature Communications. 15(1). 4656–4656. 20 indexed citations

Woo, Kyung Seok, N. Ghenzi, A. Alec Talin, et al.. (2024). Memristors with Tunable Volatility for Reconfigurable Neuromorphic Computing. ACS Nano. 18(26). 17007–17017. 27 indexed citations

Brown, Timothy D., Elliot J. Fuller, A. Alec Talin, et al.. (2024). Axon-like active signal transmission. Nature. 633(8031). 804–810. 10 indexed citations

In, Jae Hyun, Younghyun Lee, Woojoon Park, et al.. (2024). Mott neurons with dual thermal dynamics for spatiotemporal computing. Nature Materials. 23(9). 1237–1244. 29 indexed citations

Perez, Christopher, Scott R. Ellis, Eric J. Smoll, et al.. (2024). Picosecond carrier dynamics in InAs and GaAs revealed by ultrafast electron microscopy. Science Advances. 10(20). eadn8980–eadn8980. 11 indexed citations

Oh, Sangheon, Timothy D. Brown, Fatme Jardali, et al.. (2024). Selective modulation of electronic transport in VO2 induced by 10 keV helium ion irradiation. Journal of Applied Physics. 135(12). 2 indexed citations

10.

Perez, Christopher, Eric J. Smoll, Andrew J. Mannix, et al.. (2024). Resolving the Electron Plume within a Scanning Electron Microscope. ACS Nano. 18(49). 33479–33490.

11.

Woo, Kyung Seok, et al.. (2024). Tunable stochastic memristors for energy-efficient encryption and computing. Nature Communications. 15(1). 3245–3245. 39 indexed citations

12.

Woo, Kyung Seok, N. Ghenzi, A. Alec Talin, et al.. (2024). Graphlet Decomposition Using Random-Walk Memristors. 1–4.

13.

Perez, Christopher, Michelle Chen, Su‐in Yi, et al.. (2023). High Thermal Conductivity of Submicrometer Aluminum Nitride Thin Films Sputter-Deposited at Low Temperature. ACS Nano. 17(21). 21240–21250. 28 indexed citations

14.

Dick, Robert P., Rob Aitken, John Paul Strachan, et al.. (2023). Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer. 56(3). 47–58. 3 indexed citations

15.

Talin, A. Alec, Yiyang Li, D. Robinson, Elliot J. Fuller, & Suhas Kumar. (2022). ECRAM Materials, Devices, Circuits and Architectures: A Perspective. Advanced Materials. 35(37). e2204771–e2204771. 55 indexed citations

16.

Shen, Wenqing, et al.. (2021). Experimentally calibrated electro-thermal modeling of temperature dynamics in memristors. Applied Physics Letters. 118(10). 7 indexed citations

17.

Kumar, Suhas, Thomas Van Vaerenbergh, & John Paul Strachan. (2020). Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization. 76–79. 4 indexed citations

18.

Kumar, Suhas, Catherine E. Graves, John Paul Strachan, et al.. (2016). Direct Observation of Localized Radial Oxygen Migration in Functioning Tantalum Oxide Memristors. Advanced Materials. 28(14). 2772–2776. 92 indexed citations

19.

Kumar, Suhas, et al.. (2014). Charge sensing by altering the phase transition in VO2. Bulletin of the American Physical Society. 2014.

20.

Kumar, Suhas, Matthew D. Pickett, John Paul Strachan, et al.. (2013). Local Temperature Redistribution and Structural Transition During Joule‐Heating‐Driven Conductance Switching in VO₂. Advanced Materials. 25(42). 6128–6132. 187 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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