Rafael N. Alexander

19 papers receiving 772 citations

Hit Papers

Generation of time-domain-multiplexed two-dimensional clu...2019202620212023201950100150200250

Peers

Rafael N. Alexander
Comparison fields: 5 of 34
  • Artificial Intelligence 736
  • Atomic and Molecular Physics, and Optics 557
  • Electrical and Electronic Engineering 186
  • Statistical and Nonlinear Physics 23
  • Computational Theory and Mathematics 15
Replace Kyungjoo Noh with:
Kyungjoo Noh United States
Giulia Ferrini France
Run Yan Teh Australia
Fabian Furrer Japan
D. P. Nadlinger United Kingdom
Ioannis Kogias United Kingdom
Matteo Marinelli Switzerland
Daniel Kienzler Switzerland
Paul Magnard Switzerland
Evgueni Karpov Belgium
Rafael N. Alexander relative to Kyungjoo Noh United States Kyungjoo Noh's profile →
Citations per field
00.5×2.8×
Kyungjoo Noh · 1×
Citations per year

Countries citing papers authored by Rafael N. Alexander

Since Specialization
Citations

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

Fields of papers citing papers by Rafael N. Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael N. Alexander. 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 Rafael N. Alexander. The network helps show where Rafael N. Alexander may publish in the future.

Co-authorship network of co-authors of Rafael N. Alexander

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael N. Alexander. A scholar is included among the top collaborators of Rafael N. Alexander 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 Rafael N. Alexander. Rafael N. Alexander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 0
4 9
5 3
6 18
7 45
8 12
9 47
10 8
11 57
12
Generation of time-domain-multiplexed two-dimensional cluster statebreakdown →
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13 110
14 12
15 34
16 12
17 23
18 10
19 40
20 37

About Rafael N. Alexander

Rafael N. Alexander is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 21 papers that have together received 814 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (11 papers) and Quantum Mechanics and Applications (7 papers). The work is most often cited by research in Artificial Intelligence (736 citations), Atomic and Molecular Physics, and Optics (557 citations) and Computational Mathematics (2 citations). Rafael N. Alexander has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Nicolas C. Menicucci, Ben Q. Baragiola, Akira Furusawa, Shota Yokoyama, Warit Asavanant, Hidehiro Yonezawa, Jun–ichi Yoshikawa, Baramee Charoensombutamon, Yu Shiozawa and Shuntaro Takeda. Their work appears in journals such as Science, Physical Review Letters and Physical Review 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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