Graham J. Norris

1.0k citations
15 papers · 478 indexed · h-index 10

Graham J. Norris

15 papers receiving 470 citations

Peers

Graham J. Norris
Comparison fields: 5 of 40
  • Artificial Intelligence 399
  • Atomic and Molecular Physics, and Optics 286
  • Computational Theory and Mathematics 60
  • Computational Mathematics 1
  • Hardware and Architecture 8
Replace Ants Remm with:
Ants Remm Switzerland
Christian D. Marciniak Austria
Ivan Pogorelov Austria
Yanbin Chen United States
Nathan Lacroix Switzerland
Aleksander Kubica United States
Zhenyu Cai United Kingdom
Stefania Lazar United States
Abhinav Deshpande United States
Leonhard Neuhaus France
Graham J. Norris relative to Ants Remm Switzerland Ants Remm's profile →
Citations per field
00.5×1.5×
Ants Remm · 1×
Citations per year

Countries citing papers authored by Graham J. Norris

Since Specialization
Citations

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

Fields of papers citing papers by Graham J. Norris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham J. Norris. 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 Graham J. Norris. The network helps show where Graham J. Norris may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20258
2 20253
3 20243
4 202421
5 202312
6 202326
7 202311
8 202266
9 202222
10
Quantum Error Correction Using a Distance Three Surface Code with Superconducting Qubits.
20211
11
A Device for Realizing Error Correction with a Distance-3 Surface Code using Superconducting Circuits
20211
12 202056
13 202050
14 2020177
15 201521

About Graham J. Norris

Graham J. Norris is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Computer Networks and Communications, having authored 15 papers that have together received 478 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (10 papers), Quantum and electron transport phenomena (5 papers), Neural Networks and Reservoir Computing (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Quantum-Dot Cellular Automata (2 papers), Quantum optics and atomic interactions (2 papers) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Artificial Intelligence (399 citations), Atomic and Molecular Physics, and Optics (286 citations), Computational Theory and Mathematics (60 citations), Computational Mathematics (1 citation) and Hardware and Architecture (8 citations). Graham J. Norris has collaborated with scholars based in Switzerland, Canada and Germany. Frequent co-authors include Andreas Wallraff, Christopher Eichler, Ants Remm, Nathan Lacroix, Sebastian Krinner, Mihai Gabureac, Stefania Lazar, Christian Kraglund Andersen, Christoph Hellings and Jean-Claude Besse. Their work appears in journals such as Physical Review Applied, Nature Communications, Physical Review X, EPJ Quantum Technology and PRX Quantum.

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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