Daniel Cano

1.7k citations
28 papers · 1.3k · h-index 17

Impact in

Papers in

Daniel Cano

27 papers receiving 1.2k citations

Peers

Daniel Cano
Comparison fields: 5 of 84
  • Artificial Intelligence 555
  • Ophthalmology 131
  • Atomic and Molecular Physics, and Optics 418
  • Renewable Energy, Sustainability and the Environment 210
  • Radiology, Nuclear Medicine and Imaging 229
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A. Jaakkola Finland
Mark A. Itzler United States
Neil C. Bruce Mexico
L. De Dominicis Italy
Sabino Piazzolla United States
Joseph P. Rice United States
P. Boerner United States
Ping Zhou China
Farshid Manoocheri Finland
Yuqin Zong United States
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Countries citing papers authored by Daniel Cano

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986456
2 2004186
3 201197
4 200369
5 201364
6 200653
7 200452
8 201251
9 201936
10 200835
11 201034
12 201124
13 201421
14 202020
15 201317
16 200816
17 201216
18 202215
19
La educación superior en la Argentina
198512
20 20204

About Daniel Cano

Daniel Cano is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Epidemiology and Ophthalmology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (12 papers), Quantum Information and Cryptography (7 papers), Quantum Mechanics and Applications (6 papers), Corneal surgery and disorders (6 papers), Ophthalmology and Visual Impairment Studies (5 papers), Quantum optics and atomic interactions (5 papers), Atomic and Subatomic Physics Research (4 papers) and Glaucoma and retinal disorders (3 papers). The work is most often cited by research in Artificial Intelligence (555 citations), Ophthalmology (131 citations), Atomic and Molecular Physics, and Optics (418 citations), Renewable Energy, Sustainability and the Environment (210 citations) and Radiology, Nuclear Medicine and Imaging (229 citations). Daniel Cano has collaborated with scholars based in Spain, Germany and France. Frequent co-authors include Susana Marcos, Sergio Barbero, J. M. Monget, Hervé Guillard, Michel Albuisson, Lucien Wald, József Fortágh, Carlos Dorronsoro, H. Hattermann and Lourdes Llorente. Their work appears in journals such as Physical Review A, Nature Communications, Physical review. A, Journal of Vision and Journal of the Optical Society of America 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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