Carlos Abellán
-
- Quantum Mechanics and Applications 7
- Artificial Intelligence top 1%
- Quantum Information and Cryptography 9
- Quantum Computing Algorithms and Architecture 6
- Neural Networks and Reservoir Computing 3
-
- Particle Detector Development and Performance 4
-
- Radio Frequency Integrated Circuit Design 3
-
- Experimental Learning in Engineering 1
-
- Neural dynamics and brain function 1
Carlos Abellán
17 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Atomic and Molecular Physics, and Optics 1.5k
- Artificial Intelligence 1.3k
- History and Philosophy of Science 89
- Statistical and Nonlinear Physics 164
- Acoustics and Ultrasonics 10
Countries citing papers authored by Carlos Abellán
This map shows the geographic impact of Carlos Abellán'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 Carlos Abellán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Abellán more than expected).
Fields of papers citing papers by Carlos Abellán
This network shows the impact of papers produced by Carlos Abellán. 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 Carlos Abellán. The network helps show where Carlos Abellán may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlos Abellán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2021 | 60 | |
| 3 | 2020 | 39 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 1 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 19 | |
| 9 | 2018 | 10 | |
| 10 | 2016 | 84 | |
| 11 | Loophole-free Bell inequality violation using electron spins separated by 1.3 kilometresbreakdown → | 2015 | 1481 |
| 12 | 2015 | 29 | |
| 13 | 2015 | 51 | |
| 14 | 2014 | 102 | |
| 15 | 2013 | 4 | |
| 16 | 2012 | 6 | |
| 17 | 2012 | 5 | |
| 18 | 2011 | 1 | |
| 19 | 2007 | 0 |
About Carlos Abellán
Carlos Abellán is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence, Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and History and Philosophy of Science, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (9 papers), Quantum Mechanics and Applications (7 papers), Quantum Computing Algorithms and Architecture (6 papers), Particle Detector Development and Performance (4 papers), Radio Frequency Integrated Circuit Design (3 papers), Neural Networks and Reservoir Computing (3 papers), Experimental Learning in Engineering (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.5k citations), Artificial Intelligence (1.3k citations), History and Philosophy of Science (89 citations), Statistical and Nonlinear Physics (164 citations) and Acoustics and Ultrasonics (10 citations). Carlos Abellán has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Waldimar Amaya, Morgan W. Mitchell, Valerio Pruneri, Machiel Blok, Norbert Kalb, R. F. L. Vermeulen, R. N. Schouten, Daniel J. Twitchen, Matthew Markham and Stephanie Wehner. Their work appears in journals such as Optics Express, Physical Review Letters, Physical Review A, Nature and Optica.
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.