Carlos López-Molina

1.6k total citations
56 papers, 1.1k citations indexed

About

Carlos López-Molina is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Carlos López-Molina has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 10 papers in Artificial Intelligence. Recurrent topics in Carlos López-Molina's work include Medical Image Segmentation Techniques (22 papers), Image Retrieval and Classification Techniques (12 papers) and Image and Object Detection Techniques (10 papers). Carlos López-Molina is often cited by papers focused on Medical Image Segmentation Techniques (22 papers), Image Retrieval and Classification Techniques (12 papers) and Image and Object Detection Techniques (10 papers). Carlos López-Molina collaborates with scholars based in Spain, Belgium and Slovakia. Carlos López-Molina's co-authors include Humberto Bustince, Bernard De Baets, Edurne Barrenechea, Javier Fernández, Gang Wang, Benjamín Bedregal, Renata Reiser, Vicenç Torra, Miguel Pagola and Mikel Galar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Carlos López-Molina

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos López-Molina Spain 18 499 273 237 191 164 56 1.1k
Hajime Nobuhara Japan 15 195 0.4× 145 0.5× 282 1.2× 198 1.0× 50 0.3× 112 752
Olivia Mendoza Mexico 16 364 0.7× 221 0.8× 654 2.8× 113 0.6× 115 0.7× 42 1.2k
Olivier Strauss France 17 519 1.0× 53 0.2× 157 0.7× 84 0.4× 58 0.4× 82 1.0k
Qian Jiang China 20 744 1.5× 142 0.5× 221 0.9× 97 0.5× 626 3.8× 95 1.5k
En Fan China 11 236 0.5× 62 0.2× 271 1.1× 31 0.2× 87 0.5× 44 974
Michalis K. Titsias United Kingdom 18 342 0.7× 100 0.4× 1.1k 4.7× 193 1.0× 40 0.2× 39 1.7k
Uday Pratap Singh India 19 360 0.7× 164 0.6× 254 1.1× 72 0.4× 52 0.3× 77 2.0k
Raghu Krisnapuram United States 3 406 0.8× 66 0.2× 544 2.3× 104 0.5× 116 0.7× 3 1.0k
Amr Badr Egypt 14 135 0.3× 74 0.3× 365 1.5× 73 0.4× 39 0.2× 70 1.0k
Jaya Sil India 16 270 0.5× 33 0.1× 327 1.4× 120 0.6× 64 0.4× 101 1.1k

Countries citing papers authored by Carlos López-Molina

Since Specialization
Citations

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

Fields of papers citing papers by Carlos López-Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos López-Molina. 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 Carlos López-Molina. The network helps show where Carlos López-Molina may publish in the future.

Co-authorship network of co-authors of Carlos López-Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos López-Molina. A scholar is included among the top collaborators of Carlos López-Molina 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 Carlos López-Molina. Carlos López-Molina 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.
Bedregal, Benjamín, et al.. (2024). Reduction of complexity using generators of pseudo-overlap and pseudo-grouping functions. Fuzzy Sets and Systems. 490. 109025–109025. 4 indexed citations
2.
Bedregal, Benjamín, et al.. (2024). Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks. Engineering Applications of Artificial Intelligence. 133. 108470–108470. 3 indexed citations
3.
Gordoa, Javier Sánchez‐Ruiz de, et al.. (2022). Is the Phenotype Designation by PSP-MDS Criteria Stable Throughout the Disease Course and Consistent With Tau Distribution?. Frontiers in Neurology. 13. 827338–827338. 12 indexed citations
4.
Garín, Silvia Arazuri, et al.. (2022). Exploring the potential of hyperspectral imaging to detect Esca disease complex in asymptomatic grapevine leaves. Computers and Electronics in Agriculture. 196. 106863–106863. 19 indexed citations
5.
Madrid, Nicolás, Carlos López-Molina, & Petr Hurtík. (2021). Non-linear scale-space based on fuzzy contrast enhancement: Theoretical results. Fuzzy Sets and Systems. 421. 133–157. 3 indexed citations
6.
Wang, Gang, Carlos López-Molina, & Bernard De Baets. (2020). High-ISO Long-Exposure Image Denoising Based on Quantitative Blob Characterization. IEEE Transactions on Image Processing. 29. 5993–6005. 2 indexed citations
7.
Wang, Gang, Carlos López-Molina, & Bernard De Baets. (2019). Multiscale Edge Detection Using First-Order Derivative of Anisotropic Gaussian Kernels. Journal of Mathematical Imaging and Vision. 61(8). 1096–1111. 23 indexed citations
8.
López-Molina, Carlos, Javier Montero, Humberto Bustince, & Bernard De Baets. (2018). Self-adapting weighted operators for multiscale gradient fusion. Information Fusion. 44. 136–146. 14 indexed citations
9.
López-Maestresalas, Ainara, Laura De Miguel, Carlos López-Molina, et al.. (2018). Hyperspectral imaging using notions from type-2 fuzzy sets. Soft Computing. 23(6). 1779–1793. 2 indexed citations
10.
López-Molina, Carlos, et al.. (2017). Hyperspectrum comparison using similarity measures. Academica-e (Universidad Pública de Navarra). 34. 1–6. 1 indexed citations
11.
López-Molina, Carlos & Nicolás Madrid. (2017). Non-linear scale-space based on fuzzy sharpening. 10. 1–6. 3 indexed citations
12.
López-Molina, Carlos, et al.. (2017). Baddeley’s Delta metric for local contrast computation in hyperspectral imagery. Progress in Artificial Intelligence. 6(2). 121–132. 9 indexed citations
13.
López-Molina, Carlos, Bernard De Baets, & Humberto Bustince. (2016). Twofold consensus for boundary detection ground truth. Knowledge-Based Systems. 98. 162–171. 7 indexed citations
14.
López-Molina, Carlos, Guillermo Vidal-Diez de Ulzurrun, Jan Baetens, Jan Van den Bulcke, & Bernard De Baets. (2015). Unsupervised ridge detection using second order anisotropic Gaussian kernels. Signal Processing. 116. 55–67. 40 indexed citations
15.
López-Molina, Carlos, et al.. (2013). A generalization of the Perona-Malik anisotropic diffusion method using restricted dissimilarity functions. International Journal of Computational Intelligence Systems. 6(1). 14–14. 5 indexed citations
16.
Galar, Mikel, Aránzazu Jurío, Carlos López-Molina, et al.. (2013). Aggregation functions to combine RGB color channels in stereo matching. Optics Express. 21(1). 1247–1247. 15 indexed citations
17.
Pagola, Miguel, Carlos López-Molina, Javier Fernández, Edurne Barrenechea, & Humberto Bustince. (2012). Interval Type-2 Fuzzy Sets Constructed From Several Membership Functions: Application to the Fuzzy Thresholding Algorithm. IEEE Transactions on Fuzzy Systems. 21(2). 230–244. 71 indexed citations
18.
López-Molina, Carlos, Humberto Bustince, Javier Fernández, & Bernard De Baets. (2011). Generation of fuzzy edge images using trapezoidal membership functions. 3 indexed citations
19.
López-Molina, Carlos, Javier Fernández, Aránzazu Jurío, et al.. (2010). On the use of quasi-arithmetic means for the generation of edge detection blending functions. 3. 1–8. 2 indexed citations
20.
Jurío, Aránzazu, Miguel Pagola, Daniel Paternain, Carlos López-Molina, & Pedro Melo‐Pinto. (2009). Interval-valued restricted equivalence functions applied on Clustering Techniques. European Society for Fuzzy Logic and Technology Conference. 831–836. 14 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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