Bradley Mitchell

544 citations
11 papers · 296 indexed · h-index 6

Impact in

Papers in

Bradley Mitchell

9 papers receiving 286 citations

Peers

Bradley Mitchell
Comparison fields: 5 of 47
  • Artificial Intelligence 191
  • Atomic and Molecular Physics, and Optics 181
  • Nuclear and High Energy Physics 58
  • Acoustics and Ultrasonics 2
  • Astronomy and Astrophysics 30
Replace Eugene Tang with:
Eugene Tang United States
Lucas T. Brady United States
C. H. Liu United States
Prabha Mandayam India
Alexander Zlokapa United States
Adam Bouland United States
Koichi Miyamoto Japan
Da-Wei Luo China
Ciaran Hughes United States
Jonathan L. Ball United Kingdom
Bradley Mitchell relative to Eugene Tang United States Eugene Tang's profile →
Citations per field
00.5×2.7×
Eugene Tang · 1×
Citations per year

Countries citing papers authored by Bradley Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Bradley Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bradley Mitchell, 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 Bradley Mitchell Line = papers co-authored together Bradley Mitchell links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202081
2 202271
3 201455
4 202251
5 200825
6 20227
7 20252
8 19992
9
Automatic single qubit characterization with QubiC
20201
10
Scalable Platform Services on the Intel TFLOPS Supercomputer
19981
11
QubiC - An open FPGA based Qubit Control system
20200

About Bradley Mitchell

Bradley Mitchell is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Safety, Risk, Reliability and Quality, Management Science and Operations Research and Nuclear and High Energy Physics, having authored 11 papers that have together received 296 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (7 papers), Quantum Information and Cryptography (5 papers), Quantum and electron transport phenomena (4 papers), Quantum-Dot Cellular Automata (1 paper), Complex Systems and Decision Making (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Engineering and Test Systems (1 paper) and Superconducting and THz Device Technology (1 paper). The work is most often cited by research in Artificial Intelligence (191 citations), Atomic and Molecular Physics, and Optics (181 citations), Nuclear and High Energy Physics (58 citations), Acoustics and Ultrasonics (2 citations) and Astronomy and Astrophysics (30 citations). Bradley Mitchell has collaborated with scholars based in United States and Canada. Frequent co-authors include Irfan Siddiqi, Alexis Morvan, John Mark Kreikebaum, Levent Yılmaz, Joel J. Wallman, Ravi Naik, David Santiago, Christian Jünger, Long B. Nguyen and Larry Chen. Their work appears in journals such as PRX Quantum, ACM Transactions on Modeling and Computer Simulation, Nature Communications, International Journal of Modern Physics A and Physical Review Research.

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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