Ruben Gomez-Ojeda

601 total citations
8 papers, 323 citations indexed

About

Ruben Gomez-Ojeda is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ruben Gomez-Ojeda has authored 8 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Ruben Gomez-Ojeda's work include Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Ruben Gomez-Ojeda is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Ruben Gomez-Ojeda collaborates with scholars based in Spain and Netherlands. Ruben Gomez-Ojeda's co-authors include Javier González-Jiménez, Jesús Briales, Manuel López-Antequera, Nicolai Petkov and Francisco-Ángel Moreno and has published in prestigious journals such as The International Journal of Robotics Research and Pattern Recognition Letters.

In The Last Decade

Ruben Gomez-Ojeda

8 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruben Gomez-Ojeda Spain	7	287	268	117	52	25	8	323
Fabien Dekeyser France	5	177 0.6×	199 0.7×	58 0.5×	30 0.6×	33 1.3×	10	245
Federico Camposeco Switzerland	7	194 0.7×	217 0.8×	83 0.7×	42 0.8×	19 0.8×	7	277
Nikolaus Demmel Germany	6	238 0.8×	206 0.8×	65 0.6×	47 0.9×	15 0.6×	7	258
Riccardo Giubilato Italy	10	193 0.7×	141 0.5×	48 0.4×	40 0.8×	18 0.7×	29	256
J. Krishna Murthy India	6	181 0.6×	183 0.7×	39 0.3×	14 0.3×	35 1.4×	6	238
Andrzej Reinke Germany	4	166 0.6×	109 0.4×	52 0.4×	38 0.7×	30 1.2×	4	205
Sid Yingze Bao United States	7	214 0.7×	285 1.1×	86 0.7×	25 0.5×	35 1.4×	9	330
Tommaso Cavallari United Kingdom	8	189 0.7×	203 0.8×	74 0.6×	22 0.4×	21 0.8×	12	258
Matteo Vaghi Italy	4	159 0.6×	108 0.4×	78 0.7×	45 0.9×	65 2.6×	5	205
Guowei Wan China	4	204 0.7×	140 0.5×	75 0.6×	48 0.9×	76 3.0×	6	273

Countries citing papers authored by Ruben Gomez-Ojeda

Since Specialization

Citations

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

Fields of papers citing papers by Ruben Gomez-Ojeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruben Gomez-Ojeda. 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 Ruben Gomez-Ojeda. The network helps show where Ruben Gomez-Ojeda may publish in the future.

Co-authorship network of co-authors of Ruben Gomez-Ojeda

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

All Works

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8 of 8 papers shown

1.

Gomez-Ojeda, Ruben, et al.. (2020). The UMA-VI dataset: Visual–inertial odometry in low-textured and dynamic illumination environments. The International Journal of Robotics Research. 39(9). 1052–1060. 31 indexed citations

2.

Gomez-Ojeda, Ruben, et al.. (2020). Improving Visual SLAM in Car-Navigated Urban Environments with Appearance Maps. 7 indexed citations

3.

Gomez-Ojeda, Ruben & Javier González-Jiménez. (2018). Geometric-based Line Segment Tracking for HDR Stereo Sequences. 69–74. 13 indexed citations

4.

Gomez-Ojeda, Ruben, Francisco-Ángel Moreno, & Javier González-Jiménez. (2017). Accurate stereo visual odometry with gamma distributions. 3 indexed citations

5.

López-Antequera, Manuel, Ruben Gomez-Ojeda, Nicolai Petkov, & Javier González-Jiménez. (2017). Appearance-invariant place recognition by discriminatively training a convolutional neural network. Pattern Recognition Letters. 92. 89–95. 55 indexed citations

6.

Gomez-Ojeda, Ruben & Javier González-Jiménez. (2016). Robust stereo visual odometry through a probabilistic combination of points and line segments. 2521–2526. 73 indexed citations

7.

Gomez-Ojeda, Ruben, Jesús Briales, & Javier González-Jiménez. (2016). PL-SVO: Semi-direct Monocular Visual Odometry by combining points and line segments. 4211–4216. 96 indexed citations

8.

Gomez-Ojeda, Ruben, et al.. (2015). Extrinsic calibration of a 2d laser-rangefinder and a camera based on scene corners. 3611–3616. 45 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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