Pranav Gokhale

1.2k total citations
21 papers, 359 citations indexed

About

Pranav Gokhale is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Pranav Gokhale has authored 21 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Atomic and Molecular Physics, and Optics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Pranav Gokhale's work include Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (17 papers) and Quantum-Dot Cellular Automata (6 papers). Pranav Gokhale is often cited by papers focused on Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (17 papers) and Quantum-Dot Cellular Automata (6 papers). Pranav Gokhale collaborates with scholars based in United States, Canada and Philippines. Pranav Gokhale's co-authors include Frederic T. Chong, Margaret Martonosi, Kaitlin N. Smith, Gokul Subramanian Ravi, Teague Tomesh, Martin Suchara, Yongshan Ding, Kenneth R. Brown, Jonathan M. Baker and Natalie C. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Power Systems.

In The Last Decade

Pranav Gokhale

20 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranav Gokhale United States 11 328 126 78 61 37 21 359
Yongshan Ding United States 11 281 0.9× 110 0.9× 49 0.6× 63 1.0× 21 0.6× 24 323
Kaitlin N. Smith United States 11 290 0.9× 94 0.7× 59 0.8× 65 1.1× 36 1.0× 33 334
Ruslan Shaydulin United States 12 368 1.1× 101 0.8× 118 1.5× 32 0.5× 17 0.5× 25 407
Alexander McCaskey United States 8 236 0.7× 87 0.7× 48 0.6× 41 0.7× 28 0.8× 19 283
Jonathan M. Baker United States 10 390 1.2× 124 1.0× 91 1.2× 91 1.5× 28 0.8× 23 417
Ali Javadi-Abhari United States 13 578 1.8× 183 1.5× 152 1.9× 105 1.7× 55 1.5× 29 611
Andrea Skolik Netherlands 6 375 1.1× 101 0.8× 80 1.0× 55 0.9× 10 0.3× 8 412
Lukas Burgholzer Austria 12 321 1.0× 69 0.5× 90 1.2× 96 1.6× 24 0.6× 45 357
Swamit Tannu United States 10 464 1.4× 144 1.1× 130 1.7× 168 2.8× 39 1.1× 22 561
Alexander Cowtan United Kingdom 4 254 0.8× 79 0.6× 63 0.8× 54 0.9× 16 0.4× 5 270

Countries citing papers authored by Pranav Gokhale

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Gokhale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Gokhale

This figure shows the co-authorship network connecting the top 25 collaborators of Pranav Gokhale. A scholar is included among the top collaborators of Pranav Gokhale 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 Pranav Gokhale. Pranav Gokhale 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.
Gokhale, Pranav, et al.. (2025). Efficient frequency allocation for superconducting quantum processors using improved optimization techniques. Physical review. A. 111(1). 1 indexed citations
2.
Colussi, V. E., et al.. (2025). Programming an optical lattice interferometer. SHILAP Revista de lepidopterología. 5. 100026–100026. 1 indexed citations
3.
Gokhale, Pranav, et al.. (2024). Deep Learning for Low-Latency, Quantum-Ready RF Sensing. 1324–1335.
4.
Smith, Kaitlin N., et al.. (2023). Clifford-based Circuit Cutting for Quantum Simulation. 1–13. 10 indexed citations
5.
Tomesh, Teague, Zain H. Saleem, Michael A. Perlin, et al.. (2023). Divide and Conquer for Combinatorial Optimization and Distributed Quantum Computation. 1–12. 10 indexed citations
6.
Liu, Ji, et al.. (2023). QContext: Context-Aware Decomposition for Quantum Gates. 1–5. 4 indexed citations
7.
Gokhale, Pranav, et al.. (2023). Hardware-Conscious Optimization of the Quantum Toffoli Gate. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4(4). 1–19. 4 indexed citations
8.
Ravi, Gokul Subramanian, Kaitlin N. Smith, Pranav Gokhale, et al.. (2022). VAQEM: A Variational Approach to Quantum Error Mitigation. Unicam Scientific Publications (University of Camerino). 25 indexed citations
9.
Smith, Kaitlin N., Gokul Subramanian Ravi, Thomas Alexander, et al.. (2022). Programming physical quantum systems with pulse-level control. Frontiers in Physics. 10. 4 indexed citations
10.
Tomesh, Teague, Pranav Gokhale, Gokul Subramanian Ravi, et al.. (2022). SupermarQ: A Scalable Quantum Benchmark Suite. 587–603. 64 indexed citations
11.
Hashim, Akel, Ravi Naik, John Mark Kreikebaum, et al.. (2022). Optimized SWAP networks with equivalent circuit averaging for QAOA. Physical Review Research. 4(3). 24 indexed citations
12.
Ravi, Gokul Subramanian, Pranav Gokhale, William Kirby, et al.. (2022). CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 15–29. 20 indexed citations
13.
Tomesh, Teague, Pranav Gokhale, Yunong Shi, et al.. (2021). Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 47. 1–13. 2 indexed citations
14.
Ravi, Gokul Subramanian, Kaitlin N. Smith, Pranav Gokhale, & Frederic T. Chong. (2021). Quantum Computing in the Cloud: Analyzing job and machine characteristics. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 39–50. 27 indexed citations
15.
Gokhale, Pranav, Yongshan Ding, Teague Tomesh, et al.. (2020). $O(N^3)$ Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians. SHILAP Revista de lepidopterología. 69 indexed citations
16.
Eskandarpour, Rozhin, et al.. (2020). Quantum Computing for Enhancing Grid Security. IEEE Transactions on Power Systems. 35(5). 4135–4137. 28 indexed citations
17.
Shi, Yunong, Pranav Gokhale, Prakash Murali, et al.. (2020). Resource-Efficient Quantum Computing by Breaking Abstractions. Proceedings of the IEEE. 108(8). 1353–1370. 21 indexed citations
18.
Gokhale, Pranav, Yongshan Ding, Teague Tomesh, et al.. (2020). Optimization of Simultaneous Measurement for Variational Quantum Eigensolver Applications. 379–390. 16 indexed citations
19.
Baker, Jonathan M., et al.. (2020). Improved Quantum Circuits via Intermediate Qutrits. 1(1). 1–25. 9 indexed citations
20.
Gokhale, Pranav, et al.. (2020). Extending the Frontier of Quantum Computers With Qutrits. IEEE Micro. 40(3). 64–72. 19 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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