Enrique Muñoz

1.2k total citations
42 papers, 849 citations indexed

About

Enrique Muñoz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Enrique Muñoz has authored 42 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 8 papers in Information Systems. Recurrent topics in Enrique Muñoz's work include Biometric Identification and Security (11 papers), Face recognition and analysis (10 papers) and User Authentication and Security Systems (7 papers). Enrique Muñoz is often cited by papers focused on Biometric Identification and Security (11 papers), Face recognition and analysis (10 papers) and User Authentication and Security Systems (7 papers). Enrique Muñoz collaborates with scholars based in Italy, Spain and Japan. Enrique Muñoz's co-authors include Vincenzo Piuri, Fabio Scotti, Ruggero Donida Labati, Roberto Sassi, Angelo Genovese, Luis Baumela, José M. Buenaposada, José Manuel Cadenas Figueredo, Gianluca Sforza and Giovanni Acampora and has published in prestigious journals such as ACM Computing Surveys, Information Sciences and International Journal of Computer Vision.

In The Last Decade

Enrique Muñoz

42 papers receiving 817 citations

Peers

Enrique Muñoz

CVPR

CCM

Yung‐Hui Li Taiwan

Rashmi Gupta India

Marília Barandas Portugal

Khalid Abualsaud Qatar

Jinsul Kim South Korea

Sung Bum Pan South Korea

K. Vasanth India

Imad Rida France

Aparecido Nilceu Marana Brazil

Risanuri Hidayat Indonesia

Yung‐Hui Li Taiwan

Enrique Muñoz

349 ×1.1

CVPR

250 ×1.0

206 ×1.0

CCM

39 ×0.2

230 ×1.6

Citations per year, relative to Enrique Muñoz Enrique Muñoz (= 1×) peers Yung‐Hui Li

Countries citing papers authored by Enrique Muñoz

Since Specialization

Citations

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

Fields of papers citing papers by Enrique Muñoz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enrique Muñoz. 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 Enrique Muñoz. The network helps show where Enrique Muñoz may publish in the future.

Co-authorship network of co-authors of Enrique Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Muñoz. A scholar is included among the top collaborators of Enrique Muñoz 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 Enrique Muñoz. Enrique Muñoz 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

Labati, Ruggero Donida, Enrique Muñoz, Vincenzo Piuri, Roberto Sassi, & Fabio Scotti. (2018). Deep-ECG: Convolutional Neural Networks for ECG biometric recognition. Pattern Recognition Letters. 126. 78–85. 257 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, Vincenzo Piuri, & Fabio Scotti. (2018). 3-D Granulometry Using Image Processing. IEEE Transactions on Industrial Informatics. 15(3). 1251–1264. 9 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, Vincenzo Piuri, & Fabio Scotti. (2017). A novel pore extraction method for heterogeneous fingerprint images using Convolutional Neural Networks. Pattern Recognition Letters. 113. 58–66. 62 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Computational intelligence for industrial and environmental applications. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 8–14. 4 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Biometric Recognition in Automated Border Control. ACM Computing Surveys. 49(2). 1–39. 64 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 1–8. 4 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Emerging biometric technologies for Automated Border Control gates. 1–6. 2 indexed citations

Muñoz, Enrique, Yoshinari Konishi, Vittorio Murino, & Alessio Del Bue. (2016). Fast 6D pose estimation for texture-less objects from a single RGB image. 5623–5630. 33 indexed citations

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Enhancing the Performance of Multimodal Automated Border Control Systems. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 28. 1–5. 4 indexed citations

10.

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2015). Automatic Classification of Acquisition Problems Affecting Fingerprint Images in Automated Border Controls. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 354–361. 8 indexed citations

11.

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2015). Advanced design of Automated Border Control gates: Biometric system techniques and research trends. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 412–419. 13 indexed citations

12.

Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2015). Improving OSB wood panel production by vision-based systems for granulometric estimation. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 9. 557–562. 5 indexed citations

13.

Muñoz, Enrique, et al.. (2014). Online Advertising and the CPA Model: Challenges and Opportunities. International Journal of Engineering and Management Research. 4(3). 324–334. 2 indexed citations

14.

Jiménez–Come, M.J., et al.. (2012). Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques. Journal of Applied Logic. 10(4). 291–297. 27 indexed citations

15.

Acampora, Giovanni, José Manuel Cadenas Figueredo, Roberto De Prisco, et al.. (2011). A hybrid computational intelligence approach for automatic music composition. TU/e Research Portal. 19. 202–209. 14 indexed citations

16.

Figueredo, José Manuel Cadenas, M. Carmen Garrido, & Enrique Muñoz. (2011). Facing dynamic optimization using a cooperative metaheuristic configured via fuzzy logic and SVMs. Applied Soft Computing. 11(8). 5639–5651. 5 indexed citations

17.

Buenaposada, José M., Enrique Muñoz, & Luis Baumela. (2008). Efficient illumination independent appearance-based face tracking. Image and Vision Computing. 27(5). 560–578. 11 indexed citations

18.

Figueredo, José Manuel Cadenas, M. Carmen Garrido, & Enrique Muñoz. (2007). A Cooperative System of Metaheuristics. 19. 120–125. 3 indexed citations

19.

Buenaposada, José M., Enrique Muñoz, & Luis Baumela. (2006). Efficiently estimating facial expression and illumination in appearance-based tracking. 7.1–7.10. 7 indexed citations

20.

Muñoz, Enrique, José M. Buenaposada, & Luis Baumela. (2005). Efficient model-based 3D tracking of deformable objects. 877–882 Vol. 1. 12 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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