Beatriz Marcotegui

2.9k total citations · 1 hit paper
38 papers, 1.4k citations indexed

About

Beatriz Marcotegui is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Geology. According to data from OpenAlex, Beatriz Marcotegui has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 8 papers in Environmental Engineering and 7 papers in Geology. Recurrent topics in Beatriz Marcotegui's work include Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (10 papers) and Medical Image Segmentation Techniques (8 papers). Beatriz Marcotegui is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (10 papers) and Medical Image Segmentation Techniques (8 papers). Beatriz Marcotegui collaborates with scholars based in France, Spain and Brazil. Beatriz Marcotegui's co-authors include Andrés Serna, François Goulette, Jean‐Emmanuel Deschaud, Fernand Meyer, Étienne Decencière, Mathieu Lamard, Guillaume Thibault, Ronan Danno, Gwenolé Quellec and A. Chabouis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Beatriz Marcotegui

37 papers receiving 1.4k citations

Hit Papers

TeleOphta: Machine learning and image processing methods ... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beatriz Marcotegui France 17 608 531 487 428 400 38 1.4k
Stuart Perry Australia 14 321 0.5× 69 0.1× 48 0.1× 44 0.1× 46 0.1× 56 851
Weiquan Liu China 13 169 0.3× 56 0.1× 130 0.3× 159 0.4× 29 0.1× 52 501
Maxim Berman Belgium 4 425 0.7× 152 0.3× 112 0.2× 45 0.1× 9 0.0× 6 847
Srikumar Ramalingam United States 19 1.4k 2.3× 52 0.1× 94 0.2× 121 0.3× 16 0.0× 39 1.9k
David Eigen United States 6 2.0k 3.2× 113 0.2× 118 0.2× 79 0.2× 15 0.0× 9 2.3k
Markus Mathias Germany 11 1.3k 2.1× 48 0.1× 125 0.3× 142 0.3× 12 0.0× 17 1.6k
Yanchao Yang China 13 822 1.4× 190 0.4× 35 0.1× 29 0.1× 38 0.1× 55 1.2k
Hossam Isack Canada 6 581 1.0× 32 0.1× 166 0.3× 152 0.4× 6 0.0× 10 814
Towaki Takikawa Canada 7 998 1.6× 86 0.2× 62 0.1× 62 0.1× 7 0.0× 9 1.5k
Aoran Xiao Singapore 18 649 1.1× 110 0.2× 137 0.3× 118 0.3× 3 0.0× 29 1.1k

Countries citing papers authored by Beatriz Marcotegui

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Marcotegui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Marcotegui

This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Marcotegui. A scholar is included among the top collaborators of Beatriz Marcotegui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beatriz Marcotegui. Beatriz Marcotegui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Velasco-Forero, Santiago, et al.. (2025). MorphoSkel3D: Morphological Skeletonization of 3D Point Clouds for Informed Sampling in Object Classification and Retrieval. SPIRE - Sciences Po Institutional REpository. 1350–1359.
2.
Deschaud, Jean‐Emmanuel, et al.. (2021). Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping. Remote Sensing. 13(22). 4713–4713. 42 indexed citations
3.
Alves, Wonder Alexandre Luz, et al.. (2020). Image segmentation based on ultimate levelings: From attribute filters to machine learning strategies. Pattern Recognition Letters. 133. 264–271. 10 indexed citations
4.
Veltkamp, Remco C., Bas Boom, Santiago Velasco-Forero, et al.. (2020). SHREC 2020: 3D point cloud semantic segmentation for street scenes. Computers & Graphics. 93. 13–24. 17 indexed citations
5.
Velasco-Forero, Santiago, et al.. (2020). On minimum spanning tree streaming for hierarchical segmentation. Pattern Recognition Letters. 138. 155–162. 1 indexed citations
6.
Paul, Thomas, et al.. (2020). ROAD SEGMENTATION ON LOW RESOLUTION LIDAR POINT CLOUDS FOR AUTONOMOUS VEHICLES. SHILAP Revista de lepidopterología. V-2-2020. 335–342. 7 indexed citations
7.
Marcotegui, Beatriz, et al.. (2018). Local multiscale blur estimation based on toggle mapping for sharp region extraction. IET Image Processing. 12(12). 2138–2146. 2 indexed citations
8.
Marcotegui, Beatriz, et al.. (2016). Adaptive scene‐text binarisation on images captured by smartphones. IET Image Processing. 10(7). 515–523. 8 indexed citations
9.
Serna, Andrés, Beatriz Marcotegui, & Jorge E. Hernández. (2016). Segmentation of Façades from Urban 3D Point Clouds Using Geometrical and Morphological Attribute-Based Operators. ISPRS International Journal of Geo-Information. 5(1). 6–6. 19 indexed citations
10.
Vallet, Bruno, Mathieu Brédif, Andrés Serna, Beatriz Marcotegui, & Nicolas Paparoditis. (2015). TerraMobilita/iQmulus urban point cloud analysis benchmark. Computers & Graphics. 49. 126–133. 142 indexed citations
11.
Marcotegui, Beatriz. (2014). Residual approach on a hierarchical segmentation. 1. 4353–4357. 2 indexed citations
12.
Fabrizio, Jonathan, Beatriz Marcotegui, & Matthieu Cord. (2013). Text detection in street level images. Pattern Analysis and Applications. 16(4). 519–533. 26 indexed citations
13.
Decencière, Étienne, Guy Cazuguel, Guillaume Thibault, et al.. (2013). Iconography : TeleOphta: Machine learning and image processing methods for teleophthalmology. 2 indexed citations
14.
Marcotegui, Beatriz, et al.. (2007). Scene text localization based on the ultimate opening.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 177–188. 20 indexed citations
15.
Marcotegui, Beatriz, et al.. (2003). A toolbox for interactive segmentation based on nested partitions. 1. 21–25. 18 indexed citations
16.
Marqués, Ferran, et al.. (2002). Partition-based image representation as basis for user-assisted segmentation. QRU Quaderns de Recerca en Urbanisme. 1. 312–315. 4 indexed citations
17.
Decencière, Étienne, Beatriz Marcotegui, & Fernand Meyer. (2001). Content-dependent image sampling using mathematical morphology: Application to texture mapping. Signal Processing Image Communication. 16(6). 567–584. 3 indexed citations
18.
Marcotegui, Beatriz, et al.. (1999). A video object generation tool allowing friendly user interaction. QRU Quaderns de Recerca en Urbanisme. 391–395 vol.2. 27 indexed citations
19.
Marcotegui, Beatriz, et al.. (1997). Segmentation of video sequences and rate control. Annals of Telecommunications. 52(7-8). 380–387. 5 indexed citations
20.
Salembier, Philippe, Josep R. Casas, Ferran Marqués, et al.. (1993). Morphological segmentation-based coding of image sequences. Open Repository and Bibliography (University of Liège). 4 indexed citations

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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