R. M. Angelo

1.1k citations
49 papers · 746 · h-index 16

Impact in

Papers in

R. M. Angelo

46 papers receiving 735 citations

Peers

R. M. Angelo
Comparison fields: 5 of 38
  • Atomic and Molecular Physics, and Optics 694
  • Statistical and Nonlinear Physics 266
  • Artificial Intelligence 581
  • History and Philosophy of Science 24
  • Physiology 53
Replace Ognyan Oreshkov with:
Ognyan Oreshkov Belgium
J. K. Korbicz Poland
Ben Toner Netherlands
A. K. Pan India
Willem M. de Muynck Netherlands
Gen Kimura Japan
Alexander Wilce United States
George Svetlichny Brazil
Gian Carlo Ghirardi Italy
M. D. Srinivas India
R. M. Angelo relative to Ognyan Oreshkov Belgium Ognyan Oreshkov's profile →
Citations per field
00.5×1.5×1.8×
Ognyan Oreshkov · 1×
Citations per year

Countries citing papers authored by R. M. Angelo

Since Specialization
Citations

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

Fields of papers citing papers by R. M. Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside R. M. Angelo, 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 R. M. Angelo Line = papers co-authored together R. M. Angelo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016132
2 201545
3 200141
4 200340
5 201639
6 201838
7 202229
8 199929
9 201828
10 200523
11 201922
12 200421
13 201917
14 200517
15 201315
16 201915
17 201515
18 200615
19 202114
20 202114

About R. M. Angelo

R. M. Angelo is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Physiology and History and Philosophy of Science, having authored 49 papers that have together received 746 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (39 papers), Quantum Information and Cryptography (32 papers), Advanced Thermodynamics and Statistical Mechanics (14 papers), Quantum Computing Algorithms and Architecture (8 papers), Spectroscopy and Quantum Chemical Studies (7 papers), Quantum chaos and dynamical systems (7 papers), Biofield Effects and Biophysics (4 papers) and Quantum optics and atomic interactions (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (694 citations), Statistical and Nonlinear Physics (266 citations), Artificial Intelligence (581 citations), History and Philosophy of Science (24 citations) and Physiology (53 citations). R. M. Angelo has collaborated with scholars based in Brazil, United States and Israel. Frequent co-authors include Ana C. S. Costa, K. Furuya, M. C. Nemes, G. Q. Pellegrino, L. Sanz, Marcus W. Beims, Walter F. Wreszinski, John P. S. Peterson, R. M. Serra and Marcus A. M. de Aguiar. Their work appears in journals such as Physical review. A, Physical Review A, Europhysics Letters (EPL), Physica A Statistical Mechanics and its Applications and Physics Letters A.

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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