Pascal Monceau

811 citations
35 papers · 546 · h-index 11

Impact in

Papers in

Pascal Monceau

33 papers receiving 535 citations

Peers

Pascal Monceau
Comparison fields: 5 of 68
  • Condensed Matter Physics 181
  • Statistical and Nonlinear Physics 147
  • Atomic and Molecular Physics, and Optics 269
  • Mathematical Physics 68
  • Artificial Intelligence 132
Replace Stéphane Métens with:
Stéphane Métens France
Jayendra N. Bandyopadhyay India
Francisco A. Tamarit Argentina
Yu Shi China
G. L. Celardo Italy
Michael Vinson United States
Ricardo S. Schor Brazil
K. E. Kürten Germany
Katherine Klymko United States
Chang Su Ryu South Korea
Pascal Monceau relative to Stéphane Métens France Stéphane Métens's profile →
Citations per field
00.5×6.9×
Stéphane Métens · 1×
Citations per year

Countries citing papers authored by Pascal Monceau

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Monceau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pascal Monceau, 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 Pascal Monceau Line = papers co-authored together Pascal Monceau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001158
2 201585
3 201559
4 199829
5 201825
6 200325
7 200124
8 202220
9 200014
10 200410
11 201010
12 200810
13 20028
14 19787
15 20037
16 19916
17 19946
18 20036
19 19925
20 20065

About Pascal Monceau

Pascal Monceau is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Mathematical Physics, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 35 papers that have together received 546 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (18 papers), Stochastic processes and statistical mechanics (9 papers), Neural dynamics and brain function (7 papers), Topological and Geometric Data Analysis (6 papers), stochastic dynamics and bifurcation (5 papers), Material Dynamics and Properties (4 papers), Complex Network Analysis Techniques (4 papers) and Quantum chaos and dynamical systems (4 papers). The work is most often cited by research in Condensed Matter Physics (181 citations), Statistical and Nonlinear Physics (147 citations), Atomic and Molecular Physics, and Optics (269 citations), Mathematical Physics (68 citations) and Artificial Intelligence (132 citations). Pascal Monceau has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Pai‐Yi Hsiao, Jean‐Pierre Gazeau, Jean-Pierre Antoine, K. A. Penson, John R. Klauder, Michel Perreau, Samuel Bottani, A. Revcolevschi, S. Sahling and C. Marı́n. Their work appears in journals such as Physical review. B, Condensed matter, Physica A Statistical Mechanics and its Applications, Physics Letters A, Physical review. E and Journal de Physique I.

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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