Jérôme Pasquet

684 citations
23 papers · 411 · h-index 9

Impact in

Papers in

Jérôme Pasquet

22 papers receiving 393 citations

Peers

Jérôme Pasquet
Comparison fields: 5 of 45
  • Computer Vision and Pattern Recognition 171
  • Astronomy and Astrophysics 149
  • Instrumentation 9
  • Geology 20
  • Civil and Structural Engineering 33
Replace Maximilian Buder with:
Maximilian Buder Germany
Aron A. Wolf United States
Liang Geng China
Chirold D. Epp United States
Wei Rao China
Xinying Zhu China
Coralie D. Adam United States
K. Shirakawa Japan
Chengshan Han China
Jérôme Pasquet relative to Maximilian Buder Germany Maximilian Buder's profile →
Citations per field
00.5×2×4×6.6×
Maximilian Buder · 1×
Citations per year

Countries citing papers authored by Jérôme Pasquet

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Pasquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016123
2 201756
3 201942
4 201638
5
PELICAN: DeeP architecturE for the LIght Curve ANalysis
201936
6 201821
7 201420
8 202314
9 202410
10 20157
11 20207
12 20246
13 20195
14 20215
15 20235
16 20134
17 20184
18 20183
19 20162
20 20161

About Jérôme Pasquet

Jérôme Pasquet is a scholar working on Geology, Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Ocean Engineering and Space and Planetary Science, having authored 23 papers that have together received 411 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (5 papers), Advanced Neural Network Applications (4 papers), Galaxies: Formation, Evolution, Phenomena (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Automated Road and Building Extraction (2 papers), Gamma-ray bursts and supernovae (2 papers), Digital Media Forensic Detection (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Astronomy and Astrophysics (149 citations), Instrumentation (9 citations), Geology (20 citations) and Civil and Structural Engineering (33 citations). Jérôme Pasquet has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Marc Chaumont, Dino Ienco, D. Fouchez, Sandra Bringay, Gérard Subsol, Nanée Chahinian, Carole Delenne, Mustapha Derras, Pierre Drap and E. Bertin. Their work appears in journals such as Astronomy and Astrophysics, Monthly Notices of the Royal Astronomical Society, Fuzzy Sets and Systems, New Phytologist and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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