Yago Díez

924 total citations
49 papers, 631 citations indexed

About

Yago Díez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Yago Díez has authored 49 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 14 papers in Environmental Engineering. Recurrent topics in Yago Díez's work include Remote Sensing and LiDAR Applications (14 papers), AI in cancer detection (10 papers) and Medical Image Segmentation Techniques (9 papers). Yago Díez is often cited by papers focused on Remote Sensing and LiDAR Applications (14 papers), AI in cancer detection (10 papers) and Medical Image Segmentation Techniques (9 papers). Yago Díez collaborates with scholars based in Japan, Spain and Netherlands. Yago Díez's co-authors include Maximo Larry Lopez Caceres, Sarah Kentsch, Xavier Lladó, Mariano Cabezas, Joaquím Salví, Arnau Oliver, Motohisa Fukuda, Joan Martı́, Robert Martí and Daniel Serrano and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Sensors and ACM Computing Surveys.

In The Last Decade

Yago Díez

46 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yago Díez Japan	14	205	200	155	104	96	49	631
Trung Pham Australia	13	393 1.9×	150 0.8×	228 1.5×	12 0.1×	109 1.1×	34	1.0k
Qijian Zhang China	12	421 2.1×	167 0.8×	93 0.6×	8 0.1×	55 0.6×	22	802
Camille Kurtz France	15	219 1.1×	43 0.2×	115 0.7×	104 1.0×	130 1.4×	47	703
Maria Vakalopoulou France	10	116 0.6×	57 0.3×	114 0.7×	28 0.3×	57 0.6×	16	437
Tao Han China	16	70 0.3×	168 0.8×	231 1.5×	22 0.2×	90 0.9×	88	964
Robert G. Higgins United States	6	64 0.3×	124 0.6×	133 0.9×	45 0.4×	10 0.1×	9	455
Lijun Zhao China	12	564 2.8×	103 0.5×	163 1.1×	15 0.1×	150 1.6×	33	1.0k
Amal Rannen Triki Belgium	3	332 1.6×	106 0.5×	15 0.1×	61 0.6×	110 1.1×	4	602
Paolo Russo Italy	13	222 1.1×	100 0.5×	64 0.4×	59 0.6×	153 1.6×	59	651
Jie Mei China	11	182 0.9×	241 1.2×	71 0.5×	79 0.8×	54 0.6×	24	588

Countries citing papers authored by Yago Díez

Since Specialization

Citations

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

Fields of papers citing papers by Yago Díez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yago Díez

This figure shows the co-authorship network connecting the top 25 collaborators of Yago Díez. A scholar is included among the top collaborators of Yago Díez 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 Yago Díez. Yago Díez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cabezas, Mariano & Yago Díez. (2024). An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation. Sensors. 24(6). 1981–1981. 3 indexed citations

Cabezas, Mariano, et al.. (2024). A benchmark for 2D foetal brain ultrasound analysis. Scientific Data. 11(1). 923–923. 2 indexed citations

Caceres, Maximo Larry Lopez, et al.. (2024). Using UAV RGB Images for Assessing Tree Species Diversity in Elevation Gradient of Zao Mountains. Remote Sensing. 16(20). 3831–3831. 1 indexed citations

Díez, Yago, et al.. (2022). Treetop Detection in Mountainous Forests Using UAV Terrain Awareness Function. Computation. 10(6). 90–90. 4 indexed citations

Caceres, Maximo Larry Lopez, et al.. (2021). Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sensing. 13(2). 260–260. 43 indexed citations

Kentsch, Sarah, et al.. (2021). Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning. Sensors. 21(2). 471–471. 16 indexed citations

Díez, Yago, et al.. (2020). Computer Vision and Deep learning algorithms for the automatic processing of Wasan documents. 1 indexed citations

Díez, Yago, Oliver Díaz, Xavier Lladó, et al.. (2019). Breast MRI and X-ray mammography registration using gradient values. Medical Image Analysis. 54. 76–87. 15 indexed citations

Díez, Yago, et al.. (2018). Experimental Study of Compressed Stack Algorithms in Limited Memory Environments. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

10.

Díez, Yago, et al.. (2018). Group evolution patterns in running races. Information Sciences. 479. 20–39. 1 indexed citations

11.

Díez, Yago, et al.. (2017). Hanabi is NP-hard, even for cheaters who look at their cards. Theoretical Computer Science. 675. 43–55. 5 indexed citations

12.

Díaz, Oliver, Robert Martí, Yago Díez, et al.. (2017). Local breast density assessment using reacquired mammographic images. European Journal of Radiology. 93. 121–127. 8 indexed citations

13.

Cabezas, Mariano, Arnau Oliver, Yago Díez, et al.. (2016). Improved Automatic Detection of New T2 Lesions in Multiple Sclerosis Using Deformation Fields. American Journal of Neuroradiology. 37(10). 1816–1823. 27 indexed citations

14.

Valverde, Sergi, Arnau Oliver, Yago Díez, et al.. (2015). Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods. American Journal of Neuroradiology. 36(6). 1109–1115. 14 indexed citations

15.

Díez, Yago, et al.. (2015). A Qualitative Review on 3D Coarse Registration Methods. ACM Computing Surveys. 47(3). 1–36. 76 indexed citations

16.

Oliver, Arnau, Yago Díez, Jordi Freixenet, et al.. (2014). A subtraction pipeline for automatic detection of new appearing multiple sclerosis lesions in longitudinal studies. Neuroradiology. 56(5). 363–374. 39 indexed citations

17.

Pribanić, Tomislav, Yago Díez, Sergio Fernández Romero, & Joaquím Salví. (2013). An Efficient Method for Surface Registration. 500–503. 2 indexed citations

18.

Díez, Yago, Arnau Oliver, Mariano Cabezas, et al.. (2013). Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients. Neuroinformatics. 12(3). 365–379. 12 indexed citations

19.

Díez, Yago, Arnau Oliver, Xavier Lladó, & Robert Martí. (2010). Comparison of registration methods using mamographic images. 8 indexed citations

20.

Oliver, Arnau, et al.. (2010). Improving a CAD system using bilateral information. PubMed. 12. 5054–5057. 3 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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