M. A. Gubrud

719 citations
17 papers · 535 indexed · h-index 10
Topics
Quantum and electron transport phenomena (11 papers)Quantum Information and Cryptography (9 papers)Physics of Superconductivity and Magnetism (5 papers)

In The Last Decade

M. A. Gubrud

17 papers receiving 509 citations

Peers

M. A. Gubrud
Comparison fields: 5 of 54
  • Atomic and Molecular Physics, and Optics 450
  • Artificial Intelligence 389
  • Condensed Matter Physics 85
  • Statistical and Nonlinear Physics 44
  • Electrical and Electronic Engineering 42
Replace Roberto Ramos with:
Roberto Ramos United States
V. I. Shnyrkov Ukraine
J. M. Zhang China
Ziv Hermon Israel
M. Blaauboer Netherlands
Andrew J. Merriam United States
Hugo Ribeiro Germany
Changsuk Noh South Korea
Alexandre Baksic France
Andrea Morales Switzerland
M. A. Gubrud relative to Roberto Ramos United States Roberto Ramos's profile →
Citations per field
00.5×1.5×
Roberto Ramos · 1×
Citations per year

Countries citing papers authored by M. A. Gubrud

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Gubrud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. A. Gubrud

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 6
2 15
3 4
4 4
5 3
6 22
7 18
8 10
9
Military, Arms Control, and Security Aspects of Nanotechnology
9
10 3
11 6
12 9
13 337
14 42
15 1
16 13
17 33

About M. A. Gubrud

M. A. Gubrud is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 17 papers that have together received 535 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (11 papers), Quantum Information and Cryptography (9 papers) and Physics of Superconductivity and Magnetism (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (450 citations), Artificial Intelligence (389 citations) and Condensed Matter Physics (85 citations). M. A. Gubrud has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include F. C. Wellstood, J. R. Anderson, Roberto Ramos, A. J. Berkley, C. J. Lobb, Alex J. Dragt, Haitan Xu, Philip R. Johnson, Frederick W. Strauch and Jürgen Altmann. Their work appears in journals such as Science, Physical review. B, Condensed matter and Journal of Applied Physics.

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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