Daniel Hernández-Sosa

413 total citations
22 papers, 203 citations indexed

About

Daniel Hernández-Sosa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Daniel Hernández-Sosa has authored 22 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Ocean Engineering. Recurrent topics in Daniel Hernández-Sosa's work include Underwater Vehicles and Communication Systems (5 papers), Human Pose and Action Recognition (4 papers) and Robotic Path Planning Algorithms (4 papers). Daniel Hernández-Sosa is often cited by papers focused on Underwater Vehicles and Communication Systems (5 papers), Human Pose and Action Recognition (4 papers) and Robotic Path Planning Algorithms (4 papers). Daniel Hernández-Sosa collaborates with scholars based in Spain, United States and Slovenia. Daniel Hernández-Sosa's co-authors include Jorge Cabrera‐Gámez, Oliverio J. Santana, Javier Lorenzo-Navarro, Modesto Castrillón-Santana, Ryan N. Smith, Antonio G. Ramos, David Freire-Obregón, Aleš Zamuda, David Greiner and Carlos Lucas and has published in prestigious journals such as Sensors, Remote Sensing and Neurocomputing.

In The Last Decade

Daniel Hernández-Sosa

22 papers receiving 192 citations

Peers

Daniel Hernández-Sosa

CVPR

OCEAN

Chris Murphy United States

Rok Mandeljc Slovenia

Shixin Sun China

Anqi Xu Canada

Nare Karapetyan United States

Nils Bore Sweden

Qiuyang Tao United States

Julien Rebut France

Jongmin Jeong South Korea

Rob McEwen United States

Chris Murphy United States

Daniel Hernández-Sosa

71 ×0.6

CVPR

108 ×1.2

41 ×1.2

OCEAN

49 ×1.8

14 ×0.5

Citations per year, relative to Daniel Hernández-Sosa Daniel Hernández-Sosa (= 1×) peers Chris Murphy

Countries citing papers authored by Daniel Hernández-Sosa

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Hernández-Sosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Hernández-Sosa. 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 Daniel Hernández-Sosa. The network helps show where Daniel Hernández-Sosa may publish in the future.

Co-authorship network of co-authors of Daniel Hernández-Sosa

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

All Works

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20 of 20 papers shown

Santana, Oliverio J., Javier Lorenzo-Navarro, David Freire-Obregón, Daniel Hernández-Sosa, & Modesto Castrillón-Santana. (2024). Applying deep learning image enhancement methods to improve person re-identification. Neurocomputing. 598. 128011–128011. 6 indexed citations

Castrillón-Santana, Modesto, Elena Sánchez‐Nielsen, David Freire-Obregón, et al.. (2024). Visual Question Answering Models for Zero-Shot Pedestrian Attribute Recognition: A Comparative Study. SN Computer Science. 5(6). 1 indexed citations

Castrillón-Santana, Modesto, David Freire-Obregón, Daniel Hernández-Sosa, et al.. (2024). An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition. 910–917. 1 indexed citations

Freire-Obregón, David, Javier Lorenzo-Navarro, Oliverio J. Santana, Daniel Hernández-Sosa, & Modesto Castrillón-Santana. (2023). An X3D Neural Network Analysis for Runner’s Performance Assessment in a Wild Sporting Environment. Acceda (Universidad de Las Palmas de Gran Canaria). 1–5. 3 indexed citations

Freire-Obregón, David, Javier Lorenzo-Navarro, Oliverio J. Santana, Daniel Hernández-Sosa, & Modesto Castrillón-Santana. (2023). A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point. Acceda (Universidad de Las Palmas de Gran Canaria). 1–9. 1 indexed citations

Santana, Oliverio J., Daniel Hernández-Sosa, & Ryan N. Smith. (2022). Oceanic mesoscale eddy detection and convolutional neural network complexity. International Journal of Applied Earth Observation and Geoinformation. 113. 102973–102973. 14 indexed citations

Santana, Oliverio J., David Freire-Obregón, Daniel Hernández-Sosa, et al.. (2022). Facial expression analysis in a wild sporting environment. Multimedia Tools and Applications. 82(8). 11395–11415. 6 indexed citations

Greiner, David, António Gaspar‐Cunha, Daniel Hernández-Sosa, Edmondo Minisci, & Aleš Zamuda. (2022). Evolutionary Algorithms in Engineering Design Optimization. Directory of Open access Books (OAPEN Foundation). 4 indexed citations

Santana, Oliverio J., et al.. (2020). Neural Network Training for the Detection and Classification of Oceanic Mesoscale Eddies. Remote Sensing. 12(16). 2625–2625. 21 indexed citations

10.

Lucas, Carlos, Daniel Hernández-Sosa, David Greiner, Aleš Zamuda, & Rui Caldeira. (2019). An Approach to Multi-Objective Path Planning Optimization for Underwater Gliders. Sensors. 19(24). 5506–5506. 17 indexed citations

11.

Cabrera‐Gámez, Jorge, et al.. (2015). Exploring the use of local descriptors for fish recognition in LifeCLEF 2015. Acceda (Universidad de Las Palmas de Gran Canaria). 4 indexed citations

12.

Lorenzo-Navarro, Javier, et al.. (2014). Conteo de personas con un sensor RGBD comercial. Revista Iberoamericana de Automática e Informática Industrial RIAI. 11(3). 348–357. 4 indexed citations

13.

Castrillón-Santana, Modesto, Javier Lorenzo-Navarro, & Daniel Hernández-Sosa. (2014). People Semantic Description and Re-identification from Point Cloud Geometry. Acceda (Universidad de Las Palmas de Gran Canaria). 4702–4707. 3 indexed citations

14.

Lorenzo-Navarro, Javier, Modesto Castrillón-Santana, & Daniel Hernández-Sosa. (2013). On the Use of Simple Geometric Descriptors Provided by RGB-D Sensors for Re-Identification. Sensors. 13(7). 8222–8238. 15 indexed citations

15.

Hernández-Sosa, Daniel, et al.. (2011). Path planning for underwater gliders using iterative optimization. Acceda (Universidad de Las Palmas de Gran Canaria). 1538–1543. 29 indexed citations

16.

Hernández-Sosa, Daniel, et al.. (2011). Single and multiple glider path planning using an optimization-based approach. Acceda (Universidad de Las Palmas de Gran Canaria). 8 indexed citations

17.

Cabrera‐Gámez, Jorge, et al.. (2010). Path planning for gliders using Regional Ocean Models: Application of Pinzón path planner with the ESEOAT model and the RU27 trans-Atlantic flight data. OCEANS'10 IEEE SYDNEY. 1–10. 33 indexed citations

18.

Hernández-Sosa, Daniel, et al.. (2005). Integrating systems in robotics. Acceda (Universidad de Las Palmas de Gran Canaria). 2. 632–637. 2 indexed citations

19.

Hernández-Sosa, Daniel, et al.. (2005). Runtime self-adaptation in a component-based robotic framework. Acceda (Universidad de Las Palmas de Gran Canaria). 17. 2700–2705. 1 indexed citations

20.

Hernández-Sosa, Daniel, et al.. (2004). Integrating robotics software. Acceda (Universidad de Las Palmas de Gran Canaria). s 100. 3423–3428 Vol.4. 13 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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