Pascal Lava

3.0k citations
74 papers · 2.1k · h-index 28

Impact in

Papers in

Pascal Lava

72 papers receiving 2.1k citations

Peers

Pascal Lava
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 948
  • Media Technology 330
  • Civil and Structural Engineering 469
  • Mechanical Engineering 756
  • Mechanics of Materials 499
Replace Dimitri Debruyne with:
Dimitri Debruyne Belgium
Phillip L. Reu United States
F. P. Chiang United States
Małgorzata Kujawińska Poland
K. Ramesh India
Tsuchin Philip Chu United States
John Lambros 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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013171
2 2009166
3 2017130
4 201598
5 200995
6 201489
7 200677
8 201174
9 201263
10 201363
11 201058
12 201356
13 201053
14 201550
15 200349
16 202047
17 201744
18 201244
19 201344
20 201444

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 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (40 papers), Image Processing Techniques and Applications (17 papers), Advanced Measurement and Metrology Techniques (13 papers), Structural Health Monitoring Techniques (12 papers), Advanced Vision and Imaging (9 papers), Metal Forming Simulation Techniques (9 papers), Quantum Chromodynamics and Particle Interactions (8 papers) and Metallurgy and Material Forming (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (948 citations), Media Technology (330 citations), Civil and Structural Engineering (469 citations), Mechanical Engineering (756 citations) and Mechanics of Materials (499 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, Dimitri Debruyne, P. Van Houtte, Maarten De Strycker, Fabrice Pierron, Robyn H. Pritchard and Eugene M. Terentjev. 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.

Explore authors with similar magnitude of impact