Maxime Vidal

739 citations
9 papers · 520 · h-index 7

Impact in

  • Geophysics top 5%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • Geological and Geophysical Studies Worldwide
    • High-pressure geophysics and materials
    • Geochemistry and Elemental Analysis

Papers in

Maxime Vidal

8 papers receiving 497 citations

Peers

Maxime Vidal
Comparison fields: 5 of 59
  • Geophysics 436
  • Geochemistry and Petrology 52
  • Artificial Intelligence 275
  • Geology 14
  • Earth-Surface Processes 13
Replace Martin Lompo with:
Martin Lompo Burkina Faso
Guoqing Han China
María Emilia Schutesky Brazil
Max Vidal France
Ria Mukherjee India
Gražina Skridlaitė Lithuania
Ghasem Nabatian Iran
Jorge Medina Portugal
Liangjun Yu China
Jürgen Reinhardt South Africa
Maxime Vidal relative to Martin Lompo Burkina Faso Martin Lompo's profile →
Citations per field
00.5×1.5×2.4×
Martin Lompo · 1×
Citations per year

Countries citing papers authored by Maxime Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Maxime Vidal, 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 Maxime Vidal Line = papers co-authored together Maxime Vidal links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1998177
2 2009110
3 200676
4 199473
5 202033
6 202433
7 202117
8 20241
9 20250

About Maxime Vidal

Maxime Vidal is a scholar working on Geophysics, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Biophysics, having authored 9 papers that have together received 520 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (5 papers), earthquake and tectonic studies (4 papers), Geological and Geophysical Studies Worldwide (4 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Image Processing Techniques and Applications (2 papers), Cell Image Analysis Techniques (2 papers), High-pressure geophysics and materials (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Geophysics (436 citations), Geochemistry and Petrology (52 citations), Artificial Intelligence (275 citations), Geology (14 citations) and Earth-Surface Processes (13 citations). Maxime Vidal has collaborated with scholars based in Switzerland, France and Chile. Frequent co-authors include André Pouclet, Claude Delor, Alain Nicaise Kouamelan, Jean-Jacques Peucat, Magalie Pichon, Florence Cagnard, Charles Gumiaux, Rigobert Tchameni, Jean-Claude Doumnang and Jessy Lauer. Their work appears in journals such as Precambrian Research, eLife, Nature Communications, Tectonophysics and Journal of Volcanology and Geothermal Research.

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.

Explore authors with similar magnitude of impact