John H. Reina
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 2%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Co-authors
- Neil F. JohnsonLuis QuirogaNouria HernandezBrendon W. LovettAhsan NazirRichard BentonCarolina Gomez‐DiazG. Andrew D. Briggs
- Topics
- Quantum Information and Cryptography (24 papers)Quantum Computing Algorithms and Architecture (17 papers)Quantum Mechanics and Applications (13 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceCellular and Molecular Neuroscience
- Partner nations
- ColombiaUnited KingdomGermany
In The Last Decade
John H. Reina
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 77
- Atomic and Molecular Physics, and Optics 678
- Artificial Intelligence 487
- Molecular Biology 344
- Cellular and Molecular Neuroscience 219
- Electrical and Electronic Engineering 139
Countries citing papers authored by John H. Reina
This map shows the geographic impact of John H. Reina'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 John H. Reina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Reina more than expected).
Fields of papers citing papers by John H. Reina
This network shows the impact of papers produced by John H. Reina. 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 John H. Reina. The network helps show where John H. Reina may publish in the future.
Co-authorship network of co-authors of John H. Reina
This figure shows the co-authorship network connecting the top 25 collaborators of John H. Reina. A scholar is included among the top collaborators of John H. Reina 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 John H. Reina. John H. Reina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 23 | |
| 8 | On the Activation of Quantum Nonlocality | 5 |
| 9 | 92 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 107 | |
| 13 | 146 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | 87 | |
| 17 | 12 | |
| 18 | 133 | |
| 19 | 91 | |
| 20 | [Primary sternal osteomyelitis caused by Pseudomonas aeruginosa in intravenous drug addicts]. | 1 |
About John H. Reina
John H. Reina is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (24 papers), Quantum Computing Algorithms and Architecture (17 papers) and Quantum Mechanics and Applications (13 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (678 citations), Artificial Intelligence (487 citations) and Cellular and Molecular Neuroscience (219 citations). John H. Reina has collaborated with scholars based in Colombia, United Kingdom and Germany. Frequent co-authors include Neil F. Johnson, Luis Quiroga, Nouria Hernandez, Brendon W. Lovett, Ahsan Nazir, Richard Benton, Carolina Gomez‐Diaz, G. Andrew D. Briggs, P. Nalbach and J. Eckel. Their work appears in journals such as Physical Review Letters, Nature Communications and Genes & Development.
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.