A. Lemarchand

1.2k citations
110 papers · 1.0k · h-index 18

Impact in

Papers in

A. Lemarchand

106 papers receiving 985 citations

Peers

A. Lemarchand
Comparison fields: 5 of 88
  • Statistical and Nonlinear Physics 420
  • Modeling and Simulation 72
  • Computer Networks and Communications 302
  • Biophysics 68
  • Physical and Theoretical Chemistry 70
Replace A. de Candia with:
A. de Candia Italy
Adriana I. Pesci United Kingdom
B. Nowakowski Poland
L. Ramı́rez-Piscina Spain
A. Pérez-Madrid Spain
Yu. A. Makhnovskii Russia
M. Marek Czechia
Marcin Kostur Poland
Rodrigo Soto Chile
Chunhua Zeng China
A. Lemarchand relative to A. de Candia Italy A. de Candia's profile →
Citations per field
00.5×5.2×
A. de Candia · 1×
Citations per year

Countries citing papers authored by A. Lemarchand

Since Specialization
Citations

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

Fields of papers citing papers by A. Lemarchand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199534
2 200932
3 199830
4 200423
5 200122
6 200422
7 199622
8 199921
9 199621
10 200519
11 201118
12 201218
13 200618
14 202217
15 200717
16 200217
17 199917
18 198917
19 201117
20 200316

About A. Lemarchand

A. Lemarchand is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Molecular Biology and Physical and Theoretical Chemistry, having authored 110 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (42 papers), Nonlinear Dynamics and Pattern Formation (40 papers), Spectroscopy and Quantum Chemical Studies (28 papers), stochastic dynamics and bifurcation (23 papers), Gene Regulatory Network Analysis (15 papers), Mathematical Biology Tumor Growth (10 papers), Advanced Fluorescence Microscopy Techniques (8 papers) and thermodynamics and calorimetric analyses (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (420 citations), Modeling and Simulation (72 citations), Computer Networks and Communications (302 citations), Biophysics (68 citations) and Physical and Theoretical Chemistry (70 citations). A. Lemarchand has collaborated with scholars based in France, Poland and Belgium. Frequent co-authors include B. Nowakowski, Ludovic Jullien, Carlo Bianca, Michel Mareschal, Hélène Berthoumieux, J. P. Badiali, Charlie Gosse, Annick Lesne, Agnès Smith and Vincent Croquette. Their work appears in journals such as The Journal of Chemical Physics, Physica A Statistical Mechanics and its Applications, The Journal of Physical Chemistry C, The Journal of Physical Chemistry B and Physical Chemistry Chemical Physics.

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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