Mayer M. Feldman

11 total papers · 461 total citations
4 papers, 234 citations indexed

About

Mayer M. Feldman is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Mayer M. Feldman has authored 4 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Atomic and Molecular Physics, and Optics, 2 papers in Artificial Intelligence and 2 papers in Materials Chemistry. Recurrent topics in Mayer M. Feldman's work include Quantum and electron transport phenomena (3 papers), Quantum Computing Algorithms and Architecture (2 papers) and Quantum Information and Cryptography (1 paper). Mayer M. Feldman is often cited by papers focused on Quantum and electron transport phenomena (3 papers), Quantum Computing Algorithms and Architecture (2 papers) and Quantum Information and Cryptography (1 paper). Mayer M. Feldman collaborates with scholars based in United States and Sweden. Mayer M. Feldman's co-authors include J. R. Petta, Michael J. Gullans, A. J. Sigillito, Adam Mills, Erik Nielsen, C. J. Palmstrøm, Joseph Kerckhoff, Matthew T. Rakher, Clayton Jackson and Mihir Pendharkar and has published in prestigious journals such as Applied Physics Letters, Science Advances and Physical Review Applied.

In The Last Decade

Mayer M. Feldman

4 papers receiving 227 citations

Hit Papers

Two-qubit silicon quantum... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Mayer M. Feldman 206 119 114 24 18 4 234
Larysa Tryputen 245 1.2× 145 1.2× 140 1.2× 27 1.1× 23 1.3× 6 294
H. G. J. Eenink 302 1.5× 204 1.7× 151 1.3× 22 0.9× 19 1.1× 5 330
Emmanuel Chanrion 185 0.9× 110 0.9× 88 0.8× 22 0.9× 21 1.2× 9 206
Solomon Freer 265 1.3× 125 1.1× 149 1.3× 43 1.8× 16 0.9× 5 318
Alice Mahoney 261 1.3× 138 1.2× 113 1.0× 36 1.5× 11 0.6× 5 289
Andreas Landig 268 1.3× 73 0.6× 191 1.7× 13 0.5× 6 0.3× 7 298
Phillip Dluhy 242 1.2× 122 1.0× 101 0.9× 76 3.2× 5 0.3× 6 306
Elliot J. Connors 193 0.9× 124 1.0× 91 0.8× 16 0.7× 9 0.5× 4 208
Haifeng Qiao 226 1.1× 104 0.9× 131 1.1× 20 0.8× 3 0.2× 7 249
Daojin Fan 131 0.6× 35 0.3× 157 1.4× 14 0.6× 18 1.0× 8 233

Countries citing papers authored by Mayer M. Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Mayer M. Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayer M. Feldman. 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 Mayer M. Feldman. The network helps show where Mayer M. Feldman may publish in the future.

Co-authorship network of co-authors of Mayer M. Feldman

This figure shows the co-authorship network connecting the top 25 collaborators of Mayer M. Feldman. A scholar is included among the top collaborators of Mayer M. Feldman 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 Mayer M. Feldman. Mayer M. Feldman 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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