Diego Rainis

1.1k citations
13 papers · 848 · h-index 12

Impact in

Papers in

Diego Rainis

13 papers receiving 842 citations

Peers

Diego Rainis
Comparison fields: 5 of 17
  • Condensed Matter Physics 387
  • Atomic and Molecular Physics, and Optics 804
  • Materials Chemistry 378
  • Acoustics and Ultrasonics 1
  • Artificial Intelligence 30
Replace A. C. C. Drachmann with:
A. C. C. Drachmann United States
A. D. K. Finck United States
Elías Portolés Switzerland
William Mayer United States
Alexander Whiticar Denmark
Luis Maier Germany
Joseph Yuan United States
Pablo Burset Spain
Ying-Ming Xie Hong Kong
M. Diez Netherlands
Diego Rainis relative to A. C. C. Drachmann United States A. C. C. Drachmann's profile →
Citations per field
00.5×10.6×
A. C. C. Drachmann · 1×
Citations per year

Countries citing papers authored by Diego Rainis

Since Specialization
Citations

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

Fields of papers citing papers by Diego Rainis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013282
2 2012190
3 201367
4 200959
5 201255
6 201153
7 201441
8 201436
9 201023
10 200814
11 201414
12 200813
13
Realistic transport modeling for a superconducting nanowire with Majorana fermions
20121

About Diego Rainis

Diego Rainis is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Materials Chemistry, Artificial Intelligence and Electrical and Electronic Engineering, having authored 13 papers that have together received 848 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (9 papers), Quantum and electron transport phenomena (7 papers), Physics of Superconductivity and Magnetism (6 papers), Advanced Condensed Matter Physics (3 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Rare-earth and actinide compounds (2 papers), Graphene research and applications (2 papers) and Plasmonic and Surface Plasmon Research (1 paper). The work is most often cited by research in Condensed Matter Physics (387 citations), Atomic and Molecular Physics, and Optics (804 citations), Materials Chemistry (378 citations), Acoustics and Ultrasonics (1 citation) and Artificial Intelligence (30 citations). Diego Rainis has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Daniel Loss, Jelena Klinovaja, Luka Trifunovic, Marco Polini, Manuel Schmidt, A. A. Zyuzin, Fabrizio Dolcini, Rosario Fazio, Arijit Saha and Vladimir I. Fal’ko. Their work appears in journals such as Physical Review B, Physical Review Letters and arXiv (Cornell University).

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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