Pierre Drap

88 papers receiving 902 citations

Peers

Pierre Drap
Comparison fields: 5 of 96
  • Space and Planetary Science 144
  • Geology 465
  • Archeology 180
  • Conservation 50
  • Computer Vision and Pattern Recognition 282
Replace Panagiotis Agrafiotis with:
Panagiotis Agrafiotis Greece
Massimiliano Pepe Italy
Alain De Wulf Belgium
Andreas Georgopoulos Greece
Falko Kuester United States
Antonio Lagudi Italy
Antonio Vettore Italy
Murat Yakar Türkiye
Domenica Costantino Italy
Alberto Guarnieri Italy
Pierre Drap relative to Panagiotis Agrafiotis Greece Panagiotis Agrafiotis's profile →
Citations per field
00.5×6.7×
Panagiotis Agrafiotis · 1×
Citations per year

Countries citing papers authored by Pierre Drap

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Drap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007105
2 201080
3 201550
4 201547
5 201647
6 200942
7 202136
8 201831
9 201626
10 201224
11 201522
12 201822
13 200019
14 201917
15 201817
16 201816
17 201716
18 201316
19
Performances Analysis of Underwater Image Preprocessing Techniques on the Repeatability of SIFT and SURF Descriptors
201215
20
Laser Scanning and close range photogrammetry: Towards a single measuring tool dedicated to architecture and archaeology
200315

About Pierre Drap

Pierre Drap is a scholar working on Geology, Computer Vision and Pattern Recognition, Ocean Engineering, Archeology and Aerospace Engineering, having authored 97 papers that have together received 1.0k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (59 papers), Maritime and Coastal Archaeology (21 papers), Robotics and Sensor-Based Localization (20 papers), Archaeological Research and Protection (16 papers), Satellite Image Processing and Photogrammetry (12 papers), Underwater Vehicles and Communication Systems (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Coral and Marine Ecosystems Studies (9 papers). The work is most often cited by research in Space and Planetary Science (144 citations), Geology (465 citations), Archeology (180 citations), Conservation (50 citations) and Computer Vision and Pattern Recognition (282 citations). Pierre Drap has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include Pierre Grussenmeyer, Djamal Merad, Julien Seinturier, Luc Long, Bertrand Chemisky, Joaquim Garrabou, Anne Durand, Olivier Bianchimani, Julien Lefèvre and Erica Nocerino. Their work appears in journals such as Sensors, Pattern Recognition Letters, Frontiers in Marine Science, International Journal of Approximate Reasoning and Robotics.

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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