Yago Díez

80 total papers · 917 total citations
49 papers, 623 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 623 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, Robert Martí, Joan Martı́ 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

45 papers receiving 610 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yago Díez	205	196	150	104	95	49	623
Qijian Zhang	414 2.0×	161 0.8×	92 0.6×	8 0.1×	55 0.6×	22	790
Pierre Gouton	298 1.5×	56 0.3×	87 0.6×	39 0.4×	37 0.4×	75	790
Xiao Zhao	171 0.8×	93 0.5×	52 0.3×	46 0.4×	32 0.3×	59	712
Camille Kurtz	219 1.1×	43 0.2×	115 0.8×	104 1.0×	132 1.4×	46	699
Paolo Russo	220 1.1×	99 0.5×	63 0.4×	59 0.6×	152 1.6×	59	638
Zhenghao Shi	293 1.4×	60 0.3×	23 0.2×	164 1.6×	138 1.5×	69	691
Sajid Ghuffar	82 0.4×	173 0.9×	71 0.5×	56 0.5×	90 0.9×	32	592
Jie Mei	177 0.9×	236 1.2×	71 0.5×	77 0.7×	52 0.5×	23	576
Sally L. Wood	152 0.7×	13 0.1×	164 1.1×	34 0.3×	51 0.5×	63	769
Patrice Delmas	215 1.0×	113 0.6×	61 0.4×	35 0.3×	26 0.3×	89	609

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

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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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