Nicolas Locatelli

28 papers receiving 2.1k citations

Hit Papers

Learning through ferroelectric domain dynamics in solid-s...2013202620172021201720132018100200300400

Peers

Nicolas Locatelli
Comparison fields: 5 of 43
  • Electrical and Electronic Engineering 1.5k
  • Atomic and Molecular Physics, and Optics 996
  • Artificial Intelligence 467
  • Materials Chemistry 282
  • Cellular and Molecular Neuroscience 271
Replace Flavio Abreu Araujo with:
Flavio Abreu Araujo Belgium
Paolo Bortolotti France
Jacob Torrejón Spain
Sumito Tsunegi Japan
Guru Khalsa United States
G. Deligeorgis Greece
Xuanyao Fong Singapore
George I. Bourianoff United States
Juan Trastoy France
Mathieu Riou France
Nicolas Locatelli relative to Flavio Abreu Araujo Belgium Flavio Abreu Araujo's profile →
Citations per field
00.5×4.0×
Flavio Abreu Araujo · 1×
Citations per year

Countries citing papers authored by Nicolas Locatelli

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Locatelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Locatelli

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Locatelli. A scholar is included among the top collaborators of Nicolas Locatelli 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 Nicolas Locatelli. Nicolas Locatelli 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 9
2 3
3
Vowel recognition with four coupled spin-torque nano-oscillatorsbreakdown →
359
4 8
5 7
6
Learning through ferroelectric domain dynamics in solid-state synapsesbreakdown →
476
7 46
8 3
9 23
10 12
11 28
12 13
13 90
14 39
15 4
16 38
17 70
18
Spin-torque building blocksbreakdown →
427
19 16
20 65

About Nicolas Locatelli

Nicolas Locatelli is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Magnetic properties of thin films (19 papers), Advanced Memory and Neural Computing (14 papers) and Quantum and electron transport phenomena (14 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (996 citations), Electrical and Electronic Engineering (1.5k citations) and Condensed Matter Physics (266 citations). Nicolas Locatelli has collaborated with scholars based in France, Russia and Belgium. Frequent co-authors include Julie Grollier, Vincent Cros, Damien Querlioz, Flavio Abreu Araujo, Adrien F. Vincent, Jacques‐Olivier Klein, S. Galdin‐Retailleau, Damir Vodenicarevic, K. Garcia and A. Barthélémy. Their work appears in journals such as Nature, Physical Review Letters and Nature Communications.

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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