Dan Gresh

676 citations
11 papers · 302 indexed · 1 hit paper · h-index 5

Impact in

Papers in

Dan Gresh

9 papers receiving 291 citations

Hit Papers

Realization of Real-Time Fault-Tolerant Quantum Error Correction 2021 · 205 citations
2050+1+3Years since publication50100150200

Peers

Dan Gresh
Comparison fields: 5 of 27
  • Artificial Intelligence 252
  • Atomic and Molecular Physics, and Optics 163
  • Computational Theory and Mathematics 52
  • Computational Mathematics 1
  • Hardware and Architecture 11
Replace Natalie C. Brown with:
Natalie C. Brown United States
Abhinav Deshpande United States
Yuval R. Sanders Australia
Diego García-Martín Spain
Leo Zhou United States
Vincent E. Elfving United Kingdom
Bibek Pokharel United States
Roman Stricker Austria
David K. Tuckett Australia
Aniruddha Bapat United States
Dan Gresh relative to Natalie C. Brown United States Natalie C. Brown's profile →
Citations per field
00.5×1.7×
Natalie C. Brown · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dan Gresh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Gresh Line = papers co-authored together Dan Gresh links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Realization of Real-Time Fault-Tolerant Quantum Error Correction
Hit paper breakdown →
2021205
2 202438
3 202327
4 202416
5 20247
6 20244
7 20213
8 20251
9 20161
10 20250
11 20200

About Dan Gresh

Dan Gresh is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Hardware and Architecture, having authored 11 papers that have together received 302 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (6 papers), Quantum many-body systems (5 papers), Quantum-Dot Cellular Automata (3 papers), Quantum and electron transport phenomena (2 papers), Analog and Mixed-Signal Circuit Design (1 paper), Plasma Diagnostics and Applications (1 paper) and Non-Destructive Testing Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (252 citations), Atomic and Molecular Physics, and Optics (163 citations), Computational Theory and Mathematics (52 citations), Computational Mathematics (1 citation) and Hardware and Architecture (11 citations). Dan Gresh has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Brian Neyenhuis, Kevin Gilmore, Justin A. Gerber, Aaron Hankin, Russell Stutz, David Hayes, Natalie C. Brown, Dominic Lucchetti, Ciarán Ryan-Anderson and David Francois. Their work appears in journals such as Nature Communications, Physical Review X, Communications Physics, Science Advances and Physical review. A.

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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