Jonathan M. Baker

932 total citations · 1 hit paper
23 papers, 417 citations indexed

About

Jonathan M. Baker is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Jonathan M. Baker has authored 23 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Jonathan M. Baker's work include Quantum Computing Algorithms and Architecture (22 papers), Quantum Information and Cryptography (21 papers) and Quantum and electron transport phenomena (12 papers). Jonathan M. Baker is often cited by papers focused on Quantum Computing Algorithms and Architecture (22 papers), Quantum Information and Cryptography (21 papers) and Quantum and electron transport phenomena (12 papers). Jonathan M. Baker collaborates with scholars based in United States. Jonathan M. Baker's co-authors include Frederic T. Chong, Ali Javadi-Abhari, Prakash Murali, Margaret Martonosi, Gokul Subramanian Ravi, Kaitlin N. Smith, Kenneth R. Brown, Pranav Gokhale, Henry Hoffmann and Natalie C. Brown and has published in prestigious journals such as Proceedings of the IEEE, IEEE Micro and Physical review. A.

In The Last Decade

Jonathan M. Baker

21 papers receiving 405 citations

Hit Papers

Noise-Adaptive Compiler Mappings for Noisy Intermediate-S... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan M. Baker United States 10 390 124 91 91 57 23 417
Pranav Gokhale United States 11 328 0.8× 126 1.0× 78 0.9× 61 0.7× 30 0.5× 21 359
Lukas Burgholzer Austria 12 321 0.8× 69 0.6× 90 1.0× 96 1.1× 59 1.0× 45 357
Kaitlin N. Smith United States 11 290 0.7× 94 0.8× 59 0.6× 65 0.7× 47 0.8× 33 334
Ali Javadi-Abhari United States 13 578 1.5× 183 1.5× 152 1.7× 105 1.2× 100 1.8× 29 611
Swamit Tannu United States 10 464 1.2× 144 1.2× 130 1.4× 168 1.8× 75 1.3× 22 561
Ruslan Shaydulin United States 12 368 0.9× 101 0.8× 118 1.3× 32 0.4× 21 0.4× 25 407
Yongshan Ding United States 11 281 0.7× 110 0.9× 49 0.5× 63 0.7× 26 0.5× 24 323
Silas Dilkes United Kingdom 3 261 0.7× 81 0.7× 61 0.7× 56 0.6× 46 0.8× 5 271
Seyon Sivarajah United Kingdom 3 259 0.7× 80 0.6× 61 0.7× 56 0.6× 46 0.8× 3 269
Alexander Cowtan United Kingdom 4 254 0.7× 79 0.6× 63 0.7× 54 0.6× 46 0.8× 5 270

Countries citing papers authored by Jonathan M. Baker

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Baker. 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 Jonathan M. Baker. The network helps show where Jonathan M. Baker may publish in the future.

Co-authorship network of co-authors of Jonathan M. Baker

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Baker. A scholar is included among the top collaborators of Jonathan M. Baker 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 Jonathan M. Baker. Jonathan M. Baker 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.
Bradley, C. E., et al.. (2025). Interleaved Logical Qubits in Atom Arrays. 261–274.
2.
Chen, Tianyi, et al.. (2024). One-Time Compilation of Device-Level Instructions for Quantum Subroutines. 873–884. 1 indexed citations
3.
Perlin, Michael A., et al.. (2024). Circuit Decompositions and Scheduling for Neutral Atom Devices with Limited Local Addressability. 854–865. 2 indexed citations
4.
Li, Ziqian, et al.. (2023). Exploring ququart computation on a transmon using optimal control. Physical review. A. 108(6). 7 indexed citations
5.
Ravi, Gokul Subramanian, et al.. (2023). Better Than Worst-Case Decoding for Quantum Error Correction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 88–102. 14 indexed citations
6.
Smith, Kaitlin N., et al.. (2023). Fast Fingerprinting of Cloud-based NISQ Quantum Computers. 1–12. 9 indexed citations
7.
Smith, Kaitlin N., Gokul Subramanian Ravi, Prakash Murali, et al.. (2022). TimeStitch: Exploiting Slack to Mitigate Decoherence in Quantum Circuits. 4(1). 1–27. 9 indexed citations
8.
Chong, Frederic T., et al.. (2022). Time-Efficient Qudit Gates through Incremental Pulse Re-seeding. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
9.
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
10.
Baker, Jonathan M., et al.. (2022). Let Each Quantum Bit Choose Its Basis Gates. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1042–1058. 6 indexed citations
11.
Baker, Jonathan M., et al.. (2022). Reducing Runtime Overhead via Use-Based Migration in Neutral Atom Quantum Architectures. 566–576. 2 indexed citations
12.
Smith, Kaitlin N., Gokul Subramanian Ravi, Jonathan M. Baker, & Frederic T. Chong. (2022). Scaling Superconducting Quantum Computers with Chiplet Architectures. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1092–1109. 39 indexed citations
13.
Baker, Jonathan M. & Frederic T. Chong. (2021). Emerging Technologies for Quantum Computing. IEEE Micro. 41(5). 41–47. 5 indexed citations
14.
Baker, Jonathan M., et al.. (2021). Exploiting Long-Distance Interactions and Tolerating Atom Loss in Neutral Atom Quantum Architectures. 818–831. 21 indexed citations
15.
Wu, Xin-Chuan, Dripto M. Debroy, Yongshan Ding, et al.. (2021). TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture. 153–166. 8 indexed citations
16.
Baker, Jonathan M., et al.. (2021). Virtual Logical Qubits: A Compact Architecture for Fault-Tolerant Quantum Computing. IEEE Micro. 41(3). 95–101. 2 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.
Baker, Jonathan M., et al.. (2020). Improved Quantum Circuits via Intermediate Qutrits. 1(1). 1–25. 9 indexed citations
19.
Gokhale, Pranav, et al.. (2020). Extending the Frontier of Quantum Computers With Qutrits. IEEE Micro. 40(3). 64–72. 19 indexed citations
20.
Murali, Prakash, Jonathan M. Baker, Ali Javadi-Abhari, Frederic T. Chong, & Margaret Martonosi. (2019). Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers. 1015–1029. 202 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026