Katherine Klymko

901 total citations
27 papers, 522 citations indexed

About

Katherine Klymko is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Katherine Klymko has authored 27 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atomic and Molecular Physics, and Optics, 11 papers in Statistical and Nonlinear Physics and 11 papers in Artificial Intelligence. Recurrent topics in Katherine Klymko's work include Advanced Thermodynamics and Statistical Mechanics (10 papers), Quantum Computing Algorithms and Architecture (10 papers) and Micro and Nano Robotics (7 papers). Katherine Klymko is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (10 papers), Quantum Computing Algorithms and Architecture (10 papers) and Micro and Nano Robotics (7 papers). Katherine Klymko collaborates with scholars based in United States, United Kingdom and Canada. Katherine Klymko's co-authors include Dibyendu Mandal, Phillip L. Geissler, Michael R. DeWeese, Kranthi K. Mandadapu, Stephen Whitelam, Ahmad K. Omar, Juan P. Garrahan, Norm M. Tubman, Cory Hargus and Wibe A. de Jong and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B..

In The Last Decade

Katherine Klymko

25 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine Klymko United States 14 298 260 159 114 114 27 522
Chulan Kwon South Korea 16 455 1.5× 81 0.3× 139 0.9× 62 0.5× 80 0.7× 39 633
Raphaël Chétrite France 14 645 2.2× 118 0.5× 308 1.9× 67 0.6× 87 0.8× 22 778
Pascal Monceau France 11 147 0.5× 181 0.7× 269 1.7× 36 0.3× 132 1.2× 35 546
Gianmaria Falasco Luxembourg 15 492 1.7× 167 0.6× 159 1.0× 66 0.6× 34 0.3× 31 608
Kristina van Duijvendijk France 4 397 1.3× 175 0.7× 209 1.3× 113 1.0× 40 0.4× 4 508
Dibyendu Mandal United States 10 538 1.8× 101 0.4× 255 1.6× 44 0.4× 90 0.8× 14 587
Bram Wynants Belgium 8 431 1.4× 89 0.3× 177 1.1× 75 0.7× 16 0.1× 9 464
G. L. Celardo Italy 19 258 0.9× 58 0.2× 624 3.9× 87 0.8× 162 1.4× 48 778
T. Bodineau France 13 441 1.5× 364 1.4× 121 0.8× 69 0.6× 17 0.1× 21 666
Ivan M. Khaymovich Russia 18 557 1.9× 288 1.1× 830 5.2× 86 0.8× 141 1.2× 50 1.0k

Countries citing papers authored by Katherine Klymko

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Klymko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Klymko

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Klymko. A scholar is included among the top collaborators of Katherine Klymko 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 Katherine Klymko. Katherine Klymko 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.
Camps, Daan, Aaron Szasz, Katherine Klymko, et al.. (2025). Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach. Quantum. 9. 1836–1836.
2.
Klymko, Katherine, et al.. (2024). HamPerf: A Hamiltonian-Oriented Approach to Quantum Benchmarking. eScholarship (California Digital Library). 133–138. 1 indexed citations
3.
Sawaya, Nicolas P. D., Daniel P. Tabor, David E. Bernal, et al.. (2024). HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware. Quantum. 8. 1559–1559. 3 indexed citations
4.
Mullinax, J. Wayne, et al.. (2024). A circuit-generated quantum subspace algorithm for the variational quantum eigensolver. The Journal of Chemical Physics. 161(16). 1 indexed citations
5.
Omar, Ahmad K., et al.. (2023). Tuning nonequilibrium phase transitions with inertia. The Journal of Chemical Physics. 158(7). 74904–74904. 17 indexed citations
6.
Sawaya, Nicolas P. D., Daniel P. Tabor, David E. Bernal, et al.. (2023). HamLib: A Library of Hamiltonians for Benchmarking Quantum Algorithms and Hardware. eScholarship (California Digital Library). 389–390. 7 indexed citations
7.
Camps, Daan, Katherine Klymko, Brian Austin, & Nicholas J. Wright. (2023). A Performance Model for Estimating the Cost of Scaling to Practical Quantum Advantage. eScholarship (California Digital Library). 1269–1273. 1 indexed citations
8.
Klymko, Katherine, et al.. (2023). Real-Time Krylov Theory for Quantum Computing Algorithms. Quantum. 7. 1066–1066. 18 indexed citations
9.
Klymko, Katherine, Carlos Mejuto-Zaera, Stephen J. Cotton, et al.. (2022). Real-Time Evolution for Ultracompact Hamiltonian Eigenstates on Quantum Hardware. PRX Quantum. 3(2). 55 indexed citations
10.
Oftelie, Lindsay Bassman, et al.. (2022). Computing Free Energies with Fluctuation Relations on Quantum Computers. Physical Review Letters. 129(13). 130603–130603. 15 indexed citations
11.
Klymko, Katherine, et al.. (2021). Discrete ion stochastic continuum overdamped solvent algorithm for modeling electrolytes. Physical Review Fluids. 6(4). 13 indexed citations
12.
Klymko, Katherine, et al.. (2021). Entropy production fluctuations encode collective behavior in active matter. Physical review. E. 103(1). 12613–12613. 38 indexed citations
13.
Omar, Ahmad K., et al.. (2020). Active Crystallization. arXiv (Cornell University). 1 indexed citations
14.
Hargus, Cory, Katherine Klymko, Jeffrey M. Epstein, & Kranthi K. Mandadapu. (2020). Time reversal symmetry breaking and odd viscosity in active fluids: Green–Kubo and NEMD results. The Journal of Chemical Physics. 152(20). 201102–201102. 42 indexed citations
15.
Klymko, Katherine, Phillip L. Geissler, Juan P. Garrahan, & Stephen Whitelam. (2018). Rare behavior of growth processes via umbrella sampling of trajectories. Physical review. E. 97(3). 32123–32123. 39 indexed citations
16.
Klymko, Katherine, Dibyendu Mandal, & Kranthi K. Mandadapu. (2017). Statistical mechanics of transport processes in active fluids: Equations of hydrodynamics. The Journal of Chemical Physics. 147(19). 194109–194109. 14 indexed citations
17.
Mandal, Dibyendu, Katherine Klymko, & Michael R. DeWeese. (2017). Entropy Production and Fluctuation Theorems for Active Matter. Physical Review Letters. 119(25). 258001–258001. 111 indexed citations
18.
Klymko, Katherine, Phillip L. Geissler, & Stephen Whitelam. (2016). Microscopic origin and macroscopic implications of lane formation in mixtures of oppositely driven particles. Physical review. E. 94(2). 22608–22608. 27 indexed citations
19.
Klymko, Katherine & Angelo Cacciuto. (2011). Free Energy of Multiple Overlapping Chains. Physical Review Letters. 107(27). 278302–278302. 4 indexed citations
20.
Miller, William L., et al.. (2011). Free energy of alternating two-component polymer brushes on cylindrical templates. The Journal of Chemical Physics. 135(24). 244902–244902. 15 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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