Dan Gresh

676 total citations · 1 hit paper
11 papers, 302 citations indexed

About

Dan Gresh is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Dan Gresh has authored 11 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Dan Gresh's work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (6 papers) and Quantum many-body systems (5 papers). Dan Gresh is often cited by papers focused on Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (6 papers) and Quantum many-body systems (5 papers). Dan Gresh collaborates with scholars based in United States, Germany and Netherlands. Dan Gresh's co-authors include Brian Neyenhuis, Justin A. Gerber, Kevin Gilmore, Aaron Hankin, Russell Stutz, David Hayes, Dominic Lucchetti, David Francois, Natalie C. Brown and Thomas Gatterman and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Physics.

In The Last Decade

Dan Gresh

9 papers receiving 291 citations

Hit Papers

Realization of Real-Time Fault-Tolerant Quantum Error Cor... 2021 2026 2022 2024 2021 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
Dan Gresh United States 5 252 163 52 45 14 11 302
Natalie C. Brown United States 8 301 1.2× 168 1.0× 65 1.3× 50 1.1× 8 0.6× 13 336
Patrick Rall United States 9 322 1.3× 192 1.2× 82 1.6× 35 0.8× 29 2.1× 13 383
Vincent E. Elfving United Kingdom 9 264 1.0× 150 0.9× 39 0.8× 50 1.1× 24 1.7× 22 320
Abhinav Deshpande United States 8 309 1.2× 205 1.3× 51 1.0× 34 0.8× 20 1.4× 18 359
Nathan Lacroix Switzerland 8 383 1.5× 265 1.6× 62 1.2× 45 1.0× 10 0.7× 14 439
Tomas Jochym-O’Connor Canada 9 294 1.2× 135 0.8× 130 2.5× 38 0.8× 8 0.6× 19 323
Michael Ditty Canada 8 202 0.8× 205 1.3× 29 0.6× 21 0.5× 27 1.9× 9 301
Bibek Pokharel United States 7 264 1.0× 195 1.2× 23 0.4× 28 0.6× 29 2.1× 14 318
Yuval R. Sanders Australia 8 315 1.3× 186 1.1× 59 1.1× 16 0.4× 14 1.0× 12 351
Ants Remm Switzerland 10 494 2.0× 348 2.1× 75 1.4× 60 1.3× 13 0.9× 19 564

Countries citing papers authored by Dan Gresh

Since Specialization
Citations

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

Fields of papers citing papers by Dan Gresh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Gresh

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

All Works

11 of 11 papers shown
1.
Baldwin, Charles H., et al.. (2025). Measuring error rates of mid-circuit measurements. Nature Communications. 16(1). 5761–5761.
2.
Iqbal, Mohsin, Andrew Lyons, Chi‐Fai Lo, et al.. (2025). Qutrit toric code and parafermions in trapped ions. Nature Communications. 16(1). 6301–6301. 1 indexed citations
3.
Iqbal, Mohsin, Nathanan Tantivasadakarn, Justin A. Gerber, et al.. (2024). Topological order from measurements and feed-forward on a trapped ion quantum computer. Communications Physics. 7(1). 38 indexed citations
4.
Dreiling, Joan, C. B. Foltz, John Gaebler, et al.. (2024). Experiments with the four-dimensional surface code on a quantum charge-coupled device quantum computer. Physical review. A. 110(6). 7 indexed citations
5.
Haghshenas, Reza, Eli Chertkov, Matthew DeCross, et al.. (2024). Probing Critical States of Matter on a Digital Quantum Computer. Physical Review Letters. 133(26). 266502–266502. 4 indexed citations
6.
Wang, Yang, Justin A. Gerber, Kevin Gilmore, et al.. (2024). Fault-tolerant one-bit addition with the smallest interesting color code. Science Advances. 10(29). eado9024–eado9024. 16 indexed citations
7.
Chertkov, Eli, Andrew C. Potter, Sarang Gopalakrishnan, et al.. (2023). Characterizing a non-equilibrium phase transition on a quantum computer. Nature Physics. 19(12). 1799–1804. 27 indexed citations
8.
Ryan-Anderson, Ciarán, Dan Gresh, Aaron Hankin, et al.. (2021). Realization of Real-Time Fault-Tolerant Quantum Error Correction. Physical Review X. 11(4). 205 indexed citations breakdown →
9.
Chertkov, Eli, Justin Bohnet, David Francois, et al.. (2021). Holographic dynamics simulations with a trapped ion quantum computer. W3A.3–W3A.3. 3 indexed citations
10.
Tobey, R., Aaron Hankin, Dan Gresh, et al.. (2020). A High-Power, Low-Noise, Ultraviolet Laser System for Trapped-Ion Quantum Computing. Conference on Lasers and Electro-Optics. AF3K.3–AF3K.3.
11.
Zhou, Yan, Eric Cornell, Jun Ye, et al.. (2016). PROGRESS OF THE JILA ELECTRON EDM EXPERIMENT. 1–1. 1 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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