José M. Fácil

411 total citations
3 papers, 156 citations indexed

About

José M. Fácil is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, José M. Fácil has authored 3 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Media Technology and 1 paper in Aerospace Engineering. Recurrent topics in José M. Fácil's work include Advanced Vision and Imaging (2 papers), Robotics and Sensor-Based Localization (1 paper) and Image Processing Techniques and Applications (1 paper). José M. Fácil is often cited by papers focused on Advanced Vision and Imaging (2 papers), Robotics and Sensor-Based Localization (1 paper) and Image Processing Techniques and Applications (1 paper). José M. Fácil collaborates with scholars based in Spain, United States and Germany. José M. Fácil's co-authors include Javier Civera, J. M. M. Montiel, Huizhong Zhou, Benjamin Ummenhofer, Luis Montesano, Thomas Brox, Cédric Demonceaux and J.J. Guerrero and has published in prestigious journals such as IEEE Robotics and Automation Letters and Zaguan (University of Zaragoza Repository).

In The Last Decade

José M. Fácil

3 papers receiving 153 citations

Peers

José M. Fácil

CVPR

AE

MT

SURGE

CM

Shuwei Shao China

Christian Wengert Switzerland

Taylor L. Bobrow United States

Byeong Hak Kim South Korea

Zhaoyang Lyu China

Benno Heigl Germany

Lang Nie China

Qihui Zhu China

Xingjian He China

Jiaxiong Qiu China

Shuwei Shao China

José M. Fácil

204 ×1.5

CVPR

58 ×1.0

AE

93 ×2.4

MT

12 ×1.0

SURGE

8 ×0.7

CM

Citations per year, relative to José M. Fácil José M. Fácil (= 1×) peers Shuwei Shao

Countries citing papers authored by José M. Fácil

Since Specialization

Citations

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

Fields of papers citing papers by José M. Fácil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Fácil. 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 José M. Fácil. The network helps show where José M. Fácil may publish in the future.

Co-authorship network of co-authors of José M. Fácil

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

All Works

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3 of 3 papers shown

1.

Fácil, José M., et al.. (2021). Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos Using Depth Networks and Photometric Constraints. IEEE Robotics and Automation Letters. 6(4). 7225–7232. 78 indexed citations

2.

Fácil, José M., et al.. (2020). Corners for Layout: End-to-End Layout Recovery From 360 Images. IEEE Robotics and Automation Letters. 5(2). 1255–1262. 4 indexed citations

3.

Fácil, José M., Benjamin Ummenhofer, Huizhong Zhou, et al.. (2019). CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. Zaguan (University of Zaragoza Repository). 11818–11827. 74 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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