Carmen Serrano

1.7k total citations
62 papers, 1.2k citations indexed

About

Carmen Serrano is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Carmen Serrano has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Oncology. Recurrent topics in Carmen Serrano's work include Medical Image Segmentation Techniques (10 papers), Retinal Imaging and Analysis (9 papers) and Wound Healing and Treatments (8 papers). Carmen Serrano is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Retinal Imaging and Analysis (9 papers) and Wound Healing and Treatments (8 papers). Carmen Serrano collaborates with scholars based in Spain, Canada and United States. Carmen Serrano's co-authors include Begoña Acha, Tomás Gómez‐Cía, J. A. Pérez‐Carrasco, Laura M. Roa, Teresa Serrano‐Gotarredona, B. Linares-Barranco, Irene Fondón, Aurora Sáez, Shouchun Chen and Bo Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Carmen Serrano

61 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
Carmen Serrano Spain 18 325 257 253 194 188 62 1.2k
Begoña Acha Spain 17 272 0.8× 184 0.7× 189 0.7× 179 0.9× 155 0.8× 61 1.0k
Samuel Ortega Spain 28 48 0.1× 134 0.5× 281 1.1× 210 1.1× 24 0.1× 120 2.2k
Nobuaki Kobayashi Japan 14 104 0.3× 190 0.7× 28 0.1× 48 0.2× 221 1.2× 174 1.2k
Mun‐Taek Choi South Korea 13 30 0.1× 288 1.1× 760 3.0× 345 1.8× 37 0.2× 42 1.3k
Omneya Attallah Egypt 30 106 0.3× 149 0.6× 894 3.5× 323 1.7× 123 0.7× 72 1.9k
Yongwon Cho South Korea 17 140 0.4× 30 0.1× 160 0.6× 125 0.6× 28 0.1× 59 1.0k
Ali Mahloojifar Iran 13 35 0.1× 66 0.3× 79 0.3× 211 1.1× 29 0.2× 47 1.1k
Mohamed Attia Australia 11 20 0.1× 144 0.6× 206 0.8× 96 0.5× 45 0.2× 32 626
Karl Thurnhofer‐Hemsi Spain 12 13 0.0× 149 0.6× 152 0.6× 114 0.6× 61 0.3× 34 449
Fenglian Li China 16 138 0.4× 67 0.3× 206 0.8× 96 0.5× 53 0.3× 67 751

Countries citing papers authored by Carmen Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Serrano

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Serrano. A scholar is included among the top collaborators of Carmen Serrano 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 Carmen Serrano. Carmen Serrano 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.
Serrano, Carmen, et al.. (2022). Clinically Inspired Skin Lesion Classification through the Detection of Dermoscopic Criteria for Basal Cell Carcinoma. Journal of Imaging. 8(7). 197–197. 16 indexed citations
2.
Leñero‐Bardallo, Juan A., et al.. (2022). Thermography as a Method for Bedside Monitoring of Infantile Hemangiomas. Cancers. 14(21). 5392–5392. 3 indexed citations
3.
Pérez‐Carrasco, J. A., Begoña Acha, Cristina Suárez-Mejías, José Luis López Guerra, & Carmen Serrano. (2017). Joint segmentation of bones and muscles using an intensity and histogram-based energy minimization approach. Computer Methods and Programs in Biomedicine. 156. 85–95. 11 indexed citations
4.
Suárez-Mejías, Cristina, J. A. Pérez‐Carrasco, Carmen Serrano, et al.. (2016). Three-dimensional segmentation of retroperitoneal masses using continuous convex relaxation and accumulated gradient distance for radiotherapy planning. Medical & Biological Engineering & Computing. 55(1). 1–15. 22 indexed citations
5.
Serrano, Carmen, et al.. (2015). Features identification for automatic burn classification. Burns. 41(8). 1883–1890. 43 indexed citations
6.
Pérez‐Carrasco, J. A., et al.. (2015). 3D surgical planning in patients affected by lipodystrophy. Computerized Medical Imaging and Graphics. 40. 128–137. 2 indexed citations
7.
Acha, Begoña, Carmen Serrano, Irene Fondón, & Tomás Gómez‐Cía. (2013). Burn Depth Analysis Using Multidimensional Scaling Applied to Psychophysical Experiment Data. IEEE Transactions on Medical Imaging. 32(6). 1111–1120. 38 indexed citations
8.
Sáez, Aurora, Eloy Rivas, Carmen Paradas, et al.. (2013). Quantifiable diagnosis of muscular dystrophies and neurogenic atrophies through network analysis. BMC Medicine. 11(1). 77–77. 18 indexed citations
9.
Mendoza, Carlos S., George R. Washko, James C. Ross, et al.. (2012). Emphysema quantification in a multi-scanner HRCT cohort using local intensity distributions. PubMed. 474–477. 41 indexed citations
10.
Jiménez, Soledad, et al.. (2012). Detección automatizada de microaneurismas mediante crecimiento de regiones y red neuronal Fuzzy Artmap. Archivos de la Sociedad Española de Oftalmología. 87(9). 284–289. 1 indexed citations
11.
Jiménez, Soledad, Francisco J. Núñez-Benjumea, Carmen Serrano, et al.. (2011). Detección automática de microaneurismas en retinografías. Archivos de la Sociedad Española de Oftalmología. 86(9). 277–281. 4 indexed citations
12.
Acha, Begoña, et al.. (2011). A system for 3D representation of burns and calculation of burnt skin area. Burns. 37(7). 1233–1240. 28 indexed citations
13.
Pérez‐Carrasco, J. A., Begoña Acha, Carmen Serrano, et al.. (2010). Fast Vision Through Frameless Event-Based Sensing and Convolutional Processing: Application to Texture Recognition. IEEE Transactions on Neural Networks. 21(4). 609–620. 26 indexed citations
14.
Sáez, Aurora, Carmen Serrano, & Begoña Acha. (2010). Evaluation Perceptual Color Edge Detection Algorithms. Conference on Colour in Graphics Imaging and Vision. 5(1). 222–227. 2 indexed citations
15.
Suárez-Mejías, Cristina, et al.. (2009). VirSSPA- A virtual reality tool for surgical planning workflow. International Journal of Computer Assisted Radiology and Surgery. 4(2). 133–139. 11 indexed citations
16.
Fondón, Irene, Carmen Serrano, & Begoña Acha. (2007). Segmentation of Skin Cancer Images based on Multistep Region Growing. Machine Vision and Applications. 339–342. 3 indexed citations
17.
Serrano, Carmen, et al.. (2005). A computer assisted diagnosis tool for the classification of burns by depth of injury. Burns. 31(3). 275–281. 43 indexed citations
18.
Serrano, Carmen, Laura M. Roa, & Begoña Acha. (2002). Evaluation of a telemedicine platform in a burn unit. 121–126. 11 indexed citations
19.
Serrano, Carmen. (2001). Segmentation-based lossless compression of burn wound images. Journal of Electronic Imaging. 10(3). 720–720. 3 indexed citations
20.
Roa, Laura M., Tomás Gómez‐Cía, Begoña Acha, & Carmen Serrano. (1999). Digital imaging in remote diagnosis of burns. Burns. 25(7). 617–623. 54 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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