Michael Newman

87 total papers · 3.8k total citations
22 papers, 673 citations indexed

About

Michael Newman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Newman has authored 22 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Newman's work include Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (8 papers) and Quantum and electron transport phenomena (5 papers). Michael Newman is often cited by papers focused on Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (8 papers) and Quantum and electron transport phenomena (5 papers). Michael Newman collaborates with scholars based in United States, Canada and United Kingdom. Michael Newman's co-authors include Kenneth R. Brown, Craig Gidney, Chris Godsil, Muyuan Li, Dripto M. Debroy, Marko Cetina, Daiwei Zhu, Laird Egan, Crystal Noel and C. Monroe and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Michael Newman

21 papers receiving 628 citations

Hit Papers

Fault-tolerant control of... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Newman 483 264 201 102 43 22 673
Christino Tamon 469 1.0× 149 0.6× 341 1.7× 40 0.4× 29 0.7× 42 645
Jürgen Gerhard 174 0.4× 105 0.4× 221 1.1× 56 0.5× 37 0.9× 21 613
Ross Duncan 551 1.1× 211 0.8× 191 1.0× 88 0.9× 15 0.3× 46 667
Jean–Pierre Tillich 559 1.2× 56 0.2× 271 1.3× 193 1.9× 191 4.4× 47 740
George Boole 136 0.3× 50 0.2× 103 0.5× 37 0.4× 26 0.6× 15 566
Farrokh Vatan 633 1.3× 404 1.5× 173 0.9× 76 0.7× 18 0.4× 39 775
Andrew D. King 163 0.3× 49 0.2× 283 1.4× 21 0.2× 25 0.6× 15 721
Frédéric Magniez 712 1.5× 178 0.7× 418 2.1× 21 0.2× 24 0.6× 40 753
T. C. Dorlas 407 0.8× 523 2.0× 91 0.5× 32 0.3× 13 0.3× 45 789
Maarten Van den Nest 671 1.4× 556 2.1× 94 0.5× 52 0.5× 8 0.2× 26 756

Countries citing papers authored by Michael Newman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Newman

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

All Works

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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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