Fernando De la Torre

6.4k total citations · 1 hit paper
90 papers, 4.3k citations indexed

About

Fernando De la Torre is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Fernando De la Torre has authored 90 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 23 papers in Computer Vision and Pattern Recognition and 20 papers in Molecular Biology. Recurrent topics in Fernando De la Torre's work include Plant nutrient uptake and metabolism (14 papers), Face and Expression Recognition (10 papers) and Plant Gene Expression Analysis (9 papers). Fernando De la Torre is often cited by papers focused on Plant nutrient uptake and metabolism (14 papers), Face and Expression Recognition (10 papers) and Plant Gene Expression Analysis (9 papers). Fernando De la Torre collaborates with scholars based in United States, Spain and Portugal. Fernando De la Torre's co-authors include Jeffrey F. Cohn, Michael J. Black, László A. Jeni, Francisco M. Cánovas, M.J. Black, Concepción Ávila, Jessica K. Hodgins, Rafael A. Cañas, Feng Zhou and Deyu Meng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Fernando De la Torre

89 papers receiving 4.1k citations

Hit Papers

Facing Imbalanced Data--R... 2013 2026 2017 2021 2013 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Facing Imbalanced Data--Recommendations for the Use of Performance Metrics
    2013 533 citations László A. Jeni, Jeffrey F. Cohn et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando De la Torre United States 31 1.6k 902 652 623 477 90 4.3k
Bao-Gang Hu China 33 1.7k 1.0× 410 0.5× 1.5k 2.2× 102 0.2× 764 1.6× 161 4.1k
Ashok Samal United States 32 1.3k 0.8× 617 0.7× 678 1.0× 164 0.3× 47 0.1× 162 4.3k
Jiayu Zhou United States 35 905 0.5× 220 0.2× 2.4k 3.8× 893 1.4× 269 0.6× 237 5.2k
Zhengchao Dong United States 33 1.3k 0.8× 212 0.2× 1.1k 1.6× 219 0.4× 139 0.3× 82 4.0k
Preetha Phillips United States 34 1.4k 0.8× 322 0.4× 1.3k 2.0× 180 0.3× 62 0.1× 58 4.0k
Chuan‐Yu Chang Taiwan 31 984 0.6× 358 0.4× 834 1.3× 142 0.2× 62 0.1× 228 3.6k
Yuxuan Wang China 22 672 0.4× 573 0.6× 2.4k 3.6× 243 0.4× 554 1.2× 104 5.0k
Xiaofei He China 31 3.1k 1.9× 193 0.2× 777 1.2× 1.9k 3.1× 596 1.2× 96 7.2k
Hongxun Yao China 39 5.2k 3.2× 122 0.1× 1.4k 2.1× 1.1k 1.8× 239 0.5× 281 8.0k
Ke Li China 33 3.2k 1.9× 516 0.6× 963 1.5× 471 0.8× 159 0.3× 288 6.1k

Countries citing papers authored by Fernando De la Torre

Since Specialization
Citations

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

Fields of papers citing papers by Fernando De la Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando De la Torre. 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 Fernando De la Torre. The network helps show where Fernando De la Torre may publish in the future.

Co-authorship network of co-authors of Fernando De la Torre

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando De la Torre. A scholar is included among the top collaborators of Fernando De la Torre 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 Fernando De la Torre. Fernando De la Torre 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.
Torre, Fernando De la, et al.. (2024). Properties and Functional Analysis of Two Chorismate Mutases from Maritime Pine. Cells. 13(11). 929–929. 2 indexed citations
2.
Wu, Chen & Fernando De la Torre. (2023). A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance. 7344–7353. 30 indexed citations
3.
Cánovas, Francisco M., et al.. (2021). Deregulation of phenylalanine biosynthesis evolved with the emergence of vascular plants. PLANT PHYSIOLOGY. 188(1). 134–150. 15 indexed citations
4.
Marín‐Jiménez, Manuel J., Francisco M. Castro, Nicolás Guil, Fernando De la Torre, & R. Medina-Carnicer. (2017). Deep multi-task learning for gait-based biometrics. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 106–110. 54 indexed citations
5.
Girard, Jeffrey M., Jeffrey F. Cohn, László A. Jeni, Michael A. Sayette, & Fernando De la Torre. (2014). Spontaneous facial expression in unscripted social interactions can be measured automatically. Behavior Research Methods. 47(4). 1136–1147. 48 indexed citations
6.
Jeni, László A., Jeffrey M. Girard, Jeffrey F. Cohn, & Fernando De la Torre. (2013). Continuous AU intensity estimation using localized, sparse facial feature space. 1–7. 63 indexed citations
7.
Torre, Fernando De la, et al.. (2013). Deciphering the Role of Aspartate and Prephenate Aminotransferase Activities in Plastid Nitrogen Metabolism. PLANT PHYSIOLOGY. 164(1). 92–104. 44 indexed citations
8.
Ding, Xiaoyu, Wen-Sheng Chu, Fernando De la Torre, Jeffery F. Cohn, & Qiao Wang. (2013). Facial Action Unit Event Detection by Cascade of Tasks. PubMed. 2013. 2400–2407. 58 indexed citations
9.
Nguyen, Minh Hoai & Fernando De la Torre. (2012). Maximum Margin Temporal Clustering. International Conference on Artificial Intelligence and Statistics. 520–528. 40 indexed citations
10.
Kim, Minyoung & Fernando De la Torre. (2010). Gaussian Processes Multiple Instance Learning. International Conference on Machine Learning. 535–542. 27 indexed citations
11.
Thurston, Rebecca C., Karen A. Matthews, Javier Hernandez, & Fernando De la Torre. (2009). Improving the performance of physiologic hot flash measures with support vector machines. Psychophysiology. 46(2). 285–292. 58 indexed citations
12.
Torre, Fernando De la, et al.. (2009). Temporal segmentation and activity classification from first-person sensing. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 12 indexed citations
13.
Torre, Fernando De la. (2008). 7. Component Analysis methods for pattern recognition. 1–1.
14.
Torre, Fernando De la & Oriol Vinyals. (2007). Learning Kernel Expansions for Image Classification. 5. 1–7. 16 indexed citations
15.
Torre, Fernando De la, et al.. (2007). Stage- and tissue-expression of genes involved in the biosynthesis and signalling of ethylene in reproductive organs of damson plum (Prunus domestica L. subsp. insititia). Plant Physiology and Biochemistry. 45(3-4). 199–208. 9 indexed citations
16.
García-Cuesta, Esteban, Fernando De la Torre, & Antonio Arjona Castro. (2007). A Comparative Study of Supervised Learning Techniques for the Radiative Transfer Equation Inversion. 2 indexed citations
17.
Cañas, Rafael A., Fernando De la Torre, Francisco M. Cánovas, & Francisco R. Cantón. (2006). High levels of asparagine synthetase in hypocotyls of pine seedlings suggest a role of the enzyme in re-allocation of seed-stored nitrogen. Planta. 224(1). 83–95. 44 indexed citations
18.
Torre, Fernando De la & Takeo Kanade. (2004). Oriented Discriminant Analysis. 41.1–41.10. 3 indexed citations
19.
Torre, Fernando De la & M.J. Black. (2002). Robust principal component analysis for computer vision. 1. 362–369. 274 indexed citations
20.
Torre, Fernando De la, et al.. (1999). Faune d'acariens de la poussière domestique dans l'Ile de Tenerife. Acarologia. 40(1). 55–58. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Bao-Gang Hu Breakdown of academic impact, for papers by Ashok Samal Breakdown of academic impact, for papers by Jiayu Zhou Breakdown of academic impact, for papers by Zhengchao Dong Breakdown of academic impact, for papers by Preetha Phillips Breakdown of academic impact, for papers by Chuan‐Yu Chang Breakdown of academic impact, for papers by Yuxuan Wang Breakdown of academic impact, for papers by Xiaofei He Breakdown of academic impact, for papers by Hongxun Yao Breakdown of academic impact, for papers by Ke Li
Rankless by CCL
2026