Matthew Everitt

545 citations
3 papers · 326 · 1 hit paper · h-index 2

Impact in

Papers in

Journals
Natural Computing (1 paper)Physical Review A (1 paper)Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) (1 paper)
Partner nations
United Kingdom

In The Last Decade

Matthew Everitt

3 papers receiving 317 citations

Matthew Everitt's Hit Papers

Universal quantum computation using the discrete-time quantum walk 2010 · 313 citations
3130+5+10Years since publication100200300

Peers

Matthew Everitt
Comparison fields: 5 of 19
  • Artificial Intelligence 313
  • Computational Theory and Mathematics 149
  • Atomic and Molecular Physics, and Optics 138
  • Statistical and Nonlinear Physics 10
  • Information Systems 9
Replace Sally Cooper with:
Sally Cooper United Kingdom
Neil B. Lovett United Kingdom
Shantanav Chakraborty India
Simon Perdrix France
Aniruddha Bapat United States
Hirotada Kobayashi Japan
Lennart Bittel Germany
Leonardo Novo Portugal
Natalie C. Brown United States
Hussain Anwar United Kingdom
Matthew Everitt relative to Sally Cooper United Kingdom Sally Cooper's profile →
Citations per field
00.5×1.5×
Sally Cooper · 1×
Citations per year

Countries citing papers authored by Matthew Everitt

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Everitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Matthew Everitt, 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 Matthew Everitt Line = papers co-authored together Matthew Everitt links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Universal quantum computation using the discrete-time quantum walk
Hit paper breakdown →
2010313
2 201112
3
Massive simultaneous cloud computing (MSCC) for multiphysics-simulation applications
20201

About Matthew Everitt

Matthew Everitt is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 326 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (2 papers), Quantum Information and Cryptography (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Artificial Intelligence (313 citations), Computational Theory and Mathematics (149 citations), Atomic and Molecular Physics, and Optics (138 citations), Statistical and Nonlinear Physics (10 citations) and Information Systems (9 citations). Matthew Everitt has collaborated with scholars based in United Kingdom. Frequent co-authors include Matt Trevers, Viv Kendon, Neil B. Lovett and Sally Cooper. Their work appears in journals such as Natural Computing, Physical Review A and Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences).

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.

Explore authors with similar magnitude of impact