Federico Lecumberry

530 total citations
30 papers, 341 citations indexed

About

Federico Lecumberry is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Molecular Biology. According to data from OpenAlex, Federico Lecumberry has authored 30 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 4 papers in Molecular Biology. Recurrent topics in Federico Lecumberry's work include Face and Expression Recognition (6 papers), Biometric Identification and Security (5 papers) and Face recognition and analysis (4 papers). Federico Lecumberry is often cited by papers focused on Face and Expression Recognition (6 papers), Biometric Identification and Security (5 papers) and Face recognition and analysis (4 papers). Federico Lecumberry collaborates with scholars based in Uruguay, United States and France. Federico Lecumberry's co-authors include Guillermo Sapiro, Alicia Fernández, Sriram Subramaniam, Alberto Bartesaghi, Ignacio Ramírez, J.T. Nunes, Guillermo Sapiro, Eileen Armstrong, G. Seroussi and J. Matías Di Martino and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and BMC Bioinformatics.

In The Last Decade

Federico Lecumberry

27 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Lecumberry Uruguay 10 83 68 61 41 40 30 341
Rémi Mégret France 10 97 1.2× 27 0.4× 43 0.7× 32 0.8× 12 0.3× 26 462
Gabriel Caffarena Spain 10 29 0.3× 118 1.7× 75 1.2× 30 0.7× 51 1.3× 46 414
John Rasure United States 7 138 1.7× 21 0.3× 12 0.2× 13 0.3× 20 0.5× 15 360
Faysal Boughorbel United States 8 183 2.2× 6 0.1× 25 0.4× 19 0.5× 38 0.9× 15 317
Mitul Saha United States 12 279 3.4× 118 1.7× 22 0.4× 65 1.6× 6 0.1× 15 527
Amirali Aghazadeh United States 8 19 0.2× 259 3.8× 16 0.3× 30 0.7× 7 0.2× 18 479
Xiaogang Yang China 12 172 2.1× 13 0.2× 11 0.2× 50 1.2× 4 0.1× 57 417
M. Razaz United Kingdom 8 47 0.6× 90 1.3× 3 0.0× 24 0.6× 24 0.6× 33 301
Doyeon Kim South Korea 13 209 2.5× 66 1.0× 3 0.0× 103 2.5× 20 0.5× 29 545

Countries citing papers authored by Federico Lecumberry

Since Specialization
Citations

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

Fields of papers citing papers by Federico Lecumberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Lecumberry

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Lecumberry. A scholar is included among the top collaborators of Federico Lecumberry 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 Federico Lecumberry. Federico Lecumberry 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.
Casanova, Gabriela, et al.. (2025). Mitochondrial morphology in fertile and infertile men: image processing and morphometric analysis of the sperm midpiece. Frontiers in Cell and Developmental Biology. 13. 1609081–1609081.
2.
Ford, Michael, et al.. (2025). Morphometric analysis of the sperm midpiece during capacitation. Tissue and Cell. 95. 102866–102866. 1 indexed citations
3.
Lecumberry, Federico, et al.. (2023). Quantitative melanoma diagnosis using spectral phasor analysis of hyperspectral imaging from label-free slices. Frontiers in Oncology. 13. 1296826–1296826. 4 indexed citations
4.
5.
Lecumberry, Federico, et al.. (2022). Snapshot polarimetric imaging in multi-view microscopy. Applied Optics. 61(9). F62–F62. 7 indexed citations
6.
Gioi, Rafael Grompone von, et al.. (2020). An a-contrario Biometric Fusion Approach. SPIRE - Sciences Po Institutional REpository. 3585–3593. 2 indexed citations
7.
Favaro, Federico, et al.. (2018). Wireless EEG System Achieving High Throughput and Reduced Energy Consumption Through Lossless and Near-Lossless Compression. IEEE Transactions on Biomedical Circuits and Systems. 12(1). 231–241. 25 indexed citations
8.
Cárdenas-Rodríguez, Magdalena, María Inés Fariello, Gabriela Casanova, et al.. (2018). Kinesin 1 regulates cilia length through an interaction with the Bardet-Biedl syndrome related protein CCDC28B. Scientific Reports. 8(1). 3019–3019. 12 indexed citations
9.
Fernández, Alicia, et al.. (2016). A Statistical Approach to Reliability Estimation for Fingerprint Recognition. 34. 1–8. 1 indexed citations
10.
Fernández, Alicia, et al.. (2015). Abnormal consumption analysis for fraud detection: UTE-UDELAR joint efforts. 887–892. 9 indexed citations
11.
Lecumberry, Federico, et al.. (2014). Low-Complexity, Multi-Channel, Lossless And Near-Lossless Eeg Compression. Zenodo (CERN European Organization for Nuclear Research). 2040–2044. 7 indexed citations
12.
Rodríguez, Fernanda, Federico Lecumberry, & Alicia Fernández. (2014). Non Technical Loses Detection - Experts Labels vs. Inspection Labels in the Learning Stage. 624–628. 1 indexed citations
13.
Fernández, Alicia, et al.. (2014). Evaluation of a face recognition system performance's variation on a citizen passports database. 3. 1–6. 1 indexed citations
14.
Fernández, Alicia, et al.. (2014). Pattern Recognition in Latin America in the “Big Data” Era. Pattern Recognition. 48(4). 1185–1196. 22 indexed citations
15.
Bartesaghi, Alberto, Federico Lecumberry, Guillermo Sapiro, & Sriram Subramaniam. (2012). Protein Secondary Structure Determination by Constrained Single-Particle Cryo-Electron Tomography. Structure. 20(12). 2003–2013. 77 indexed citations
16.
Lecumberry, Federico, et al.. (2009). Simultaneous Object Classification and Segmentation With High-Order Multiple Shape Models. IEEE Transactions on Image Processing. 19(3). 625–635. 22 indexed citations
17.
Ramírez, Ignacio, Federico Lecumberry, & Guillermo Sapiro. (2009). Universal priors for sparse modeling. 197–200. 22 indexed citations
18.
Lecumberry, Federico, et al.. (2009). Multiple shape models for simultaneous object classification and segmentation. 3001–3004. 3 indexed citations
19.
Aguerrebere, Cecilia, et al.. (2007). Aguará: An Improved Face Recognition Algorithm through Gabor Filter Adaptation. 74–79. 4 indexed citations
20.
Lecumberry, Federico. (2005). Cálculo de disparidad en imágenes estéreo, una comparación. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 1 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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