Jean‐Marc Berroir

4.5k citations
86 papers · 3.3k indexed · 1 hit paper · h-index 30
Topics
Quantum and electron transport phenomena (43 papers)Semiconductor Quantum Structures and Devices (28 papers)Graphene research and applications (21 papers)
Partner nations
FranceUnited StatesJapan

In The Last Decade

Jean‐Marc Berroir

86 papers receiving 3.2k citations

Hit Papers

An On-Demand Coherent Single-Electron Source20072026201320192007100200300

Peers

Jean‐Marc Berroir
Comparison fields: 5 of 58
  • Atomic and Molecular Physics, and Optics 2.8k
  • Electrical and Electronic Engineering 1.3k
  • Materials Chemistry 932
  • Artificial Intelligence 818
  • Condensed Matter Physics 298
Replace Gwendal Fève with:
Gwendal Fève France
Bernard Plaçais France
G. A. C. Jones United Kingdom
A. C. Gossard United States
A. Cavanna France
L. V. Keldysh Russia
R. Ferreira France
Kuan Yen Tan Finland
J.-Ph. Poizat France
G. A. C. Jones United Kingdom
Jean‐Marc Berroir relative to Gwendal Fève France Gwendal Fève's profile →
Citations per field
00.5×1.5×
Gwendal Fève · 1×
Citations per year

Countries citing papers authored by Jean‐Marc Berroir

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Marc Berroir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Marc Berroir. 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 Jean‐Marc Berroir. The network helps show where Jean‐Marc Berroir may publish in the future.

Co-authorship network of co-authors of Jean‐Marc Berroir

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marc Berroir. A scholar is included among the top collaborators of Jean‐Marc Berroir 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 Jean‐Marc Berroir. Jean‐Marc Berroir 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 3
2 4
3 24
4 23
5 4
6 40
7 18
8 8
9 1
10 1
11 14
12 87
13 8
14 103
15 107
16 99
17 33
18 55
19 48
20 73

About Jean‐Marc Berroir

Jean‐Marc Berroir is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Electrical and Electronic Engineering, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (43 papers), Semiconductor Quantum Structures and Devices (28 papers) and Graphene research and applications (21 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.8k citations), Artificial Intelligence (818 citations) and Condensed Matter Physics (298 citations). Jean‐Marc Berroir has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Bernard Plaçais, Gwendal Fève, D. C. Glattli, Yong Jin, Erwann Bocquillon, A. Cavanna, B. Etienne, T. Kontos, Pascal Degiovanni and Julien Gabelli. Their work appears in journals such as Science, 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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