M. Casas

2.4k citations
118 papers · 1.9k · h-index 24

Impact in

Papers in

M. Casas

113 papers receiving 1.8k citations

Peers

M. Casas
Comparison fields: 5 of 109
  • Statistical and Nonlinear Physics 489
  • Atomic and Molecular Physics, and Optics 1.1k
  • Radiological and Ultrasound Technology 112
  • Analytical Chemistry 211
  • Artificial Intelligence 585
Replace Rajan Gupta with:
Rajan Gupta United States
H. Flaschka United States
Ian Hamilton Canada
Wesley C. Campbell United States
G. Audi France
J.E. Schweppe United States
George I. Fann United States
Ousmanou Motapon Cameroon
H. Wöllnik Germany
Marvin M. Miller United States
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Citations per field
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Citations per year

Countries citing papers authored by M. Casas

Since Specialization
Citations

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

Fields of papers citing papers by M. Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Casas, 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 M. Casas Line = papers co-authored together M. Casas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999163
2 2007124
3 2008117
4 201278
5 201062
6 200559
7 199454
8 200953
9 201152
10 199050
11 200149
12 201049
13 200648
14 201147
15 199145
16 201038
17 200238
18 201134
19 201029
20 199626

About M. Casas

M. Casas is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence, Nuclear and High Energy Physics and Radiation, having authored 118 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (32 papers), Quantum Information and Cryptography (25 papers), Quantum Computing Algorithms and Architecture (17 papers), Cold Atom Physics and Bose-Einstein Condensates (17 papers), Advanced Thermodynamics and Statistical Mechanics (15 papers), Quantum Mechanics and Non-Hermitian Physics (14 papers), Statistical Mechanics and Entropy (14 papers) and Nuclear physics research studies (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (489 citations), Atomic and Molecular Physics, and Optics (1.1k citations), Radiological and Ultrasound Technology (112 citations), Analytical Chemistry (211 citations) and Artificial Intelligence (585 citations). M. Casas has collaborated with scholars based in Spain, Argentina and South Africa. Frequent co-authors include A. Plastino, Josep Amengual i Batle, Vı́ctor Cerdà, A. Borrás, F. Garcías, A. Puente, A. Rigó, Laura Ferrer, Jessica Avivar and E. Gómez. Their work appears in journals such as Physical Review A, Physics Letters A, Physica A Statistical Mechanics and its Applications, Nuclear Physics A and Applied Radiation and Isotopes.

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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