Ashutosh Kumar

3.3k total citations · 1 hit paper
27 papers, 485 citations indexed

About

Ashutosh Kumar is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Ashutosh Kumar has authored 27 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 14 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Ashutosh Kumar's work include Quantum Computing Algorithms and Architecture (7 papers), Quantum Information and Cryptography (7 papers) and Advanced Chemical Physics Studies (7 papers). Ashutosh Kumar is often cited by papers focused on Quantum Computing Algorithms and Architecture (7 papers), Quantum Information and Cryptography (7 papers) and Advanced Chemical Physics Studies (7 papers). Ashutosh Kumar collaborates with scholars based in United States, India and Germany. Ashutosh Kumar's co-authors include T. Daniel Crawford, Edward F. Valeev, John W. Woods, Henry Stark, Frank Neese, Łukasz Cincio, Sergei Tretiak, Yu Zhang, Pavel A. Dub and Alexander M. Dalzell and has published in prestigious journals such as Chemical Reviews, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Ashutosh Kumar

23 papers receiving 470 citations

Hit Papers

Evaluating the evidence for exponential quantum advantage... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashutosh Kumar United States 12 319 210 74 72 43 27 485
Bruno Senjean France 12 288 0.9× 167 0.8× 35 0.5× 53 0.7× 42 1.0× 22 402
Matthew Otten United States 15 337 1.1× 243 1.2× 21 0.3× 112 1.6× 102 2.4× 36 553
Adi Makmal Israel 11 319 1.0× 189 0.9× 32 0.4× 205 2.8× 108 2.5× 20 633
Jason Nguyen United States 10 475 1.5× 138 0.7× 107 1.4× 36 0.5× 30 0.7× 17 628
Zhengji Zhao United States 10 352 1.1× 39 0.2× 50 0.7× 146 2.0× 105 2.4× 23 541
Andrey Asadchev United States 8 179 0.6× 29 0.1× 105 1.4× 78 1.1× 34 0.8× 11 312
Brian Austin United States 10 278 0.9× 47 0.2× 33 0.4× 109 1.5× 65 1.5× 28 493
M. V. Subbotin United States 10 283 0.9× 71 0.3× 42 0.6× 27 0.4× 14 0.3× 15 413
Emanuel H. Rubensson Sweden 12 300 0.9× 29 0.1× 102 1.4× 93 1.3× 65 1.5× 28 424
Nicholas C. Rubin United States 17 718 2.3× 882 4.2× 35 0.5× 139 1.9× 92 2.1× 33 1.3k

Countries citing papers authored by Ashutosh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashutosh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ashutosh Kumar. A scholar is included among the top collaborators of Ashutosh 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 Ashutosh Kumar. Ashutosh Kumar 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.
Kumar, Ashutosh, et al.. (2025). Disaggregating Current Layers from Magnetic Maps for Quantum Diamond Microscopy. QTh3A.35–QTh3A.35.
2.
Kumar, Ashutosh, et al.. (2024). RideGuard: Empowering Rider Safety with Integrated Helmet Technology and Aid App. 265–272. 1 indexed citations
4.
Kumar, Ashutosh, et al.. (2024). Multi-level authentication for security in cloud using improved quantum key distribution. Network Computation in Neural Systems. 36(4). 1443–1463. 1 indexed citations
5.
Kumar, Ashutosh & Garima Verma. (2023). Secure Cloud Data Access: Unifying Quantum Key Distribution and Attribute-Based Encryption for Enhanced Data Protection. SN Computer Science. 4(6). 1 indexed citations
6.
Lee, Seunghoon, Joonho Lee, Huanchen Zhai, et al.. (2023). Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry. Nature Communications. 14(1). 1952–1952. 143 indexed citations breakdown →
7.
Kumar, Ashutosh, et al.. (2023). Rule Extraction using Machine Learning Classifiers for Complex Event Processing. 355–360. 2 indexed citations
8.
Kumar, Ashutosh, Harper R. Grimsley, Yu Zhang, et al.. (2023). Quantum self-consistent equation-of-motion method for computing molecular excitation energies, ionization potentials, and electron affinities on a quantum computer. Chemical Science. 14(9). 2405–2418. 41 indexed citations
9.
Kumar, Ashutosh & Garima Verma. (2023). Revolutionizing Cloud Security: Leveraging Quantum Computing and Key Distribution for Enhanced Protection. RePEc: Research Papers in Economics. 17(2). 131–143. 2 indexed citations
10.
Kumar, Ashutosh, et al.. (2023). Comment on “Canonical transcorrelated theory with projected Slater-type geminals” [J. Chem. Phys. 136, 084107 (2012)]. The Journal of Chemical Physics. 158(5). 57101–57101. 4 indexed citations
11.
Kumar, Ashutosh & Garima Verma. (2023). Securing cloud access with enhanced attribute-based cryptography. Computing. 106(12). 4193–4207. 1 indexed citations
12.
Kumar, Ashutosh, T. Daniel Crawford, Nicholas J. Mayhall, et al.. (2023). Quantum Simulation of Molecular Response Properties in the NISQ Era. Journal of Chemical Theory and Computation. 19(24). 9136–9150. 17 indexed citations
14.
Kumar, Ashutosh, Frank Neese, & Edward F. Valeev. (2020). Explicitly correlated coupled cluster method for accurate treatment of open-shell molecules with hundreds of atoms. arXiv (Cornell University). 29 indexed citations
15.
Peng, Chong, et al.. (2020). Many-Body Quantum Chemistry on Massively Parallel Computers. Chemical Reviews. 121(3). 1203–1231. 32 indexed citations
16.
Peng, Chong, Xiao Wang, Fabijan Pavošević, et al.. (2020). Massively Parallel Quantum Chemistry: A high-performance research platform for electronic structure. The Journal of Chemical Physics. 153(4). 44120–44120. 28 indexed citations
17.
Sachdeva, Shelly, et al.. (2019). Hybrid Application Development and Implementation. International Conference on Computing for Sustainable Global Development. 102–107. 1 indexed citations
18.
Crawford, T. Daniel, et al.. (2019). Reduced‐scaling coupled cluster response theory: Challenges and opportunities. Wiley Interdisciplinary Reviews Computational Molecular Science. 9(4). 31 indexed citations
19.
Friedrich, Joachim, Harley R. McAlexander, Ashutosh Kumar, & T. Daniel Crawford. (2014). Incremental evaluation of coupled cluster dipole polarizabilities. Physical Chemistry Chemical Physics. 17(22). 14284–14296. 12 indexed citations
20.
Stark, Henry, et al.. (2012). Probability, statistics, and random processes for engineers. 46 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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