Manuel J. Marín‐Jiménez

6.7k total citations · 2 hit papers
65 papers, 3.5k citations indexed

About

Manuel J. Marín‐Jiménez is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Manuel J. Marín‐Jiménez has authored 65 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 20 papers in Biomedical Engineering and 13 papers in Aerospace Engineering. Recurrent topics in Manuel J. Marín‐Jiménez's work include Human Pose and Action Recognition (38 papers), Video Surveillance and Tracking Methods (29 papers) and Gait Recognition and Analysis (20 papers). Manuel J. Marín‐Jiménez is often cited by papers focused on Human Pose and Action Recognition (38 papers), Video Surveillance and Tracking Methods (29 papers) and Gait Recognition and Analysis (20 papers). Manuel J. Marín‐Jiménez collaborates with scholars based in Spain, United Kingdom and United States. Manuel J. Marín‐Jiménez's co-authors include Rafael Muñoz‐Salinas, Sergio Garrido-Jurado, F.J. Madrid-Cuevas, Andrew Zisserman, Vittorio Ferrari, Vittorio Ferrari, Francisco M. Castro, Nicolás Guil, R. Medina-Carnicer and Marcin Eichner and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

In The Last Decade

Manuel J. Marín‐Jiménez

60 papers receiving 3.4k citations

Hit Papers

Automatic generation and detection of highly reliable fid... 2008 2026 2014 2020 2014 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel J. Marín‐Jiménez Spain 21 2.5k 853 728 561 405 65 3.5k
Rafael Muñoz‐Salinas Spain 20 2.2k 0.9× 1.3k 1.6× 507 0.7× 434 0.8× 219 0.5× 77 3.5k
F.J. Madrid-Cuevas Spain 18 1.6k 0.7× 918 1.1× 374 0.5× 301 0.5× 153 0.4× 36 2.6k
Stan Birchfield United States 33 3.6k 1.4× 1.1k 1.3× 281 0.4× 354 0.6× 478 1.2× 82 4.6k
Emanuele Menegatti Italy 26 1.5k 0.6× 1.1k 1.3× 447 0.6× 206 0.4× 270 0.7× 172 2.9k
Antonis Argyros Greece 29 2.7k 1.1× 1.0k 1.2× 285 0.4× 1.2k 2.1× 418 1.0× 165 4.0k
Ryo Kurazume Japan 27 1.2k 0.5× 916 1.1× 788 1.1× 196 0.3× 273 0.7× 247 2.6k
Luis M. Bergasa Spain 38 3.1k 1.3× 1.1k 1.2× 300 0.4× 604 1.1× 700 1.7× 174 5.6k
Jizhong Xiao United States 26 1.3k 0.5× 1.4k 1.6× 586 0.8× 225 0.4× 276 0.7× 154 3.2k
James J. Little Canada 37 4.8k 2.0× 2.0k 2.3× 855 1.2× 543 1.0× 921 2.3× 160 6.1k
Markus Vincze Austria 30 2.2k 0.9× 1.6k 1.9× 365 0.5× 249 0.4× 560 1.4× 266 3.9k

Countries citing papers authored by Manuel J. Marín‐Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by Manuel J. Marín‐Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel J. Marín‐Jiménez. 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 Manuel J. Marín‐Jiménez. The network helps show where Manuel J. Marín‐Jiménez may publish in the future.

Co-authorship network of co-authors of Manuel J. Marín‐Jiménez

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

All Works

20 of 20 papers shown
1.
Marín‐Jiménez, Manuel J., et al.. (2025). A bird song detector for improving bird identification through deep learning: A case study from Doñana. Ecological Informatics. 90. 103254–103254.
2.
Marín‐Jiménez, Nuria, et al.. (2025). Health & Gait: a dataset for gait-based analysis. Scientific Data. 12(1). 44–44. 2 indexed citations
3.
Cubero, Nicolás Seisdedos, et al.. (2025). Empirical study of human pose representations for gait recognition. Expert Systems with Applications. 275. 126946–126946.
4.
Migliorelli, Lucia, et al.. (2024). Edge artificial intelligence and super-resolution for enhanced weapon detection in video surveillance. Engineering Applications of Artificial Intelligence. 140. 109684–109684. 4 indexed citations
5.
Romero-Ramírez, Francisco J., et al.. (2024). Large-Scale Indoor Camera Positioning Using Fiducial Markers. Sensors. 24(13). 4303–4303. 2 indexed citations
6.
Muñoz‐Salinas, Rafael, et al.. (2024). DeepArUco++: Improved detection of square fiducial markers in challenging lighting conditions. Image and Vision Computing. 152. 105313–105313. 4 indexed citations
7.
Wang, Rui, Chuanfu Shen, Manuel J. Marín‐Jiménez, George Q. Huang, & Shiqi Yu. (2024). Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification. 1–11.
8.
Romero-Ramírez, Francisco J., et al.. (2023). Fiducial Objects: Custom Design and Evaluation. Sensors. 23(24). 9649–9649. 2 indexed citations
9.
Romero-Ramírez, Francisco J., et al.. (2023). UCO Physical Rehabilitation: New Dataset and Study of Human Pose Estimation Methods on Physical Rehabilitation Exercises. Sensors. 23(21). 8862–8862. 4 indexed citations
10.
Marín‐Jiménez, Manuel J., et al.. (2021). UGaitNet: Multimodal Gait Recognition With Missing Input Modalities. IEEE Transactions on Information Forensics and Security. 16. 5452–5462. 25 indexed citations
11.
Castro, Francisco M., et al.. (2020). iLGaCo: Incremental Learning of Gait Covariate Factors. 1–8. 3 indexed citations
12.
Castro, Francisco M., et al.. (2019). Energy-based tuning of convolution neural networks on multi-GPUs. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 11 indexed citations
13.
Castro, Francisco M., et al.. (2019). A cross-dataset deep learning-based classifier for people fall detection and identification. Computer Methods and Programs in Biomedicine. 184. 105265–105265. 41 indexed citations
14.
Marín‐Jiménez, Manuel J., Francisco M. Castro, Nicolás Guil, Fernando De la Torre, & R. Medina-Carnicer. (2017). Deep multi-task learning for gait-based biometrics. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 106–110. 54 indexed citations
15.
Castro, Francisco M., Manuel J. Marín‐Jiménez, & Nicolás Guil. (2016). Multimodal features fusion for gait, gender and shoes recognition. Machine Vision and Applications. 27(8). 1213–1228. 34 indexed citations
16.
Marín‐Jiménez, Manuel J., Rafael Muñoz‐Salinas, Enrique Yeguas-Bolívar, & Nicolás Pérez de la Blanca. (2013). Human interaction categorization by using audio-visual cues. Machine Vision and Applications. 25(1). 71–84. 18 indexed citations
17.
Marín‐Jiménez, Manuel J., Enrique Yeguas-Bolívar, & Nicolás Pérez de la Blanca. (2012). Exploring STIP-based models for recognizing human interactions in TV videos. Pattern Recognition Letters. 34(15). 1819–1828. 21 indexed citations
18.
Blanca, Nicolás Pérez de la, et al.. (2009). Tracking people in video sequences using multiple models. Multimedia Tools and Applications. 49(2). 371–403. 7 indexed citations
19.
Philbin, James, et al.. (2008). Oxford/IIIT TRECVID 2008 - Notebook paper. Oxford University Research Archive (ORA) (University of Oxford). 2 indexed citations
20.
Philbin, James, Ondřej Chum, Josef Šivic, et al.. (2007). Oxford TRECVid 2007 \u2013 Notebook paper.. TRECVID. 1 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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