Pascal Lava

3.1k citations
87 papers · 2.3k · h-index 28

Impact in

Papers in

Pascal Lava

83 papers receiving 2.2k citations

Peers

Pascal Lava
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 1.0k
  • Media Technology 349
  • Civil and Structural Engineering 513
  • Mechanical Engineering 814
  • Mechanics of Materials 527
Replace Dimitri Debruyne with:
Dimitri Debruyne Belgium
Phillip L. Reu United States
F. P. Chiang United States
Małgorzata Kujawińska Poland
John Lambros United States
K. Ramesh India
Tsuchin Philip Chu United States
Shien Ri Japan
S.R. McNeill United States
Guillermo H. Kaufmann Argentina
Pascal Lava relative to Dimitri Debruyne Belgium Dimitri Debruyne's profile →
Citations per field
00.5×1.5×
Dimitri Debruyne · 1×
Citations per year

Countries citing papers authored by Pascal Lava

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Lava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009182
2 2013174
3 2017134
4 2015105
5 200998
6 201493
7 200678
8 201176
9 201369
10 201265
11 201059
12 201058
13 201358
14 201553
15 202052
16 200350
17 201747
18 201746
19 201345
20 201245

About Pascal Lava

Pascal Lava is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Civil and Structural Engineering, Media Technology and Mechanics of Materials, having authored 87 papers that have together received 2.3k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (50 papers), Image Processing Techniques and Applications (20 papers), Advanced Measurement and Metrology Techniques (17 papers), Structural Health Monitoring Techniques (16 papers), Advanced Vision and Imaging (13 papers), Metal Forming Simulation Techniques (11 papers), Metallurgy and Material Forming (9 papers) and Quantum Chromodynamics and Particle Interactions (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (349 citations), Civil and Structural Engineering (513 citations), Mechanical Engineering (814 citations) and Mechanics of Materials (527 citations). Pascal Lava has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Dimitri Debruyne, Sam Coppieters, Steven Cooreman, Y. Wang, P. Van Houtte, Dimitri Debruyne, Maarten De Strycker, Fabrice Pierron, Eugene M. Terentjev and Phillip L. Reu. Their work appears in journals such as Strain, Experimental Mechanics, Optics and Lasers in Engineering, International Journal of Material Forming and Nuclear Physics A.

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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