Laura Igual

2.2k total citations
41 papers, 1.3k citations indexed

About

Laura Igual is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Laura Igual has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Laura Igual's work include Medical Image Segmentation Techniques (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Cardiovascular Health and Disease Prevention (6 papers). Laura Igual is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Cardiovascular Health and Disease Prevention (6 papers). Laura Igual collaborates with scholars based in Spain, United States and United Kingdom. Laura Igual's co-authors include Coloma Ballester, Bernard Rougé, Joan Verdera, Vicent Caselles, Petia Radeva, Àgata Lapedriza, Eloi Puertas, Santi Seguí, Karim Lekadir and Sérgio Escalera and has published in prestigious journals such as Gastroenterology, PLoS ONE and IEEE Transactions on Image Processing.

In The Last Decade

Laura Igual

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Igual Spain	17	601	364	243	229	155	41	1.3k
Hong Lu China	21	859 1.4×	193 0.5×	109 0.4×	169 0.7×	119 0.8×	119	1.4k
Xenophon Zabulis Greece	25	1.1k 1.8×	111 0.3×	321 1.3×	94 0.4×	168 1.1×	138	2.2k
Débora Gil Spain	18	749 1.2×	136 0.4×	694 2.9×	484 2.1×	183 1.2×	106	2.1k
Hajime Nagahara Japan	22	1.1k 1.9×	287 0.8×	276 1.1×	293 1.3×	509 3.3×	158	1.8k
Tam Nguyen United States	21	1.3k 2.1×	108 0.3×	74 0.3×	365 1.6×	83 0.5×	142	1.9k
Zengchang Qin China	20	850 1.4×	249 0.7×	264 1.1×	735 3.2×	124 0.8×	77	1.6k
Chaosheng Tang China	15	286 0.5×	54 0.1×	239 1.0×	389 1.7×	110 0.7×	55	1.1k
M. Arfan Jaffar Pakistan	21	812 1.4×	234 0.6×	136 0.6×	288 1.3×	83 0.5×	98	1.3k
Abhir Bhalerao United Kingdom	15	467 0.8×	48 0.1×	303 1.2×	178 0.8×	102 0.7×	77	994

Countries citing papers authored by Laura Igual

Since Specialization

Citations

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

Fields of papers citing papers by Laura Igual

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Igual

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

Wiedemann, Nina, et al.. (2025). AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection. Frontiers in Oncology. 15. 1598289–1598289. 1 indexed citations

Grau, María, et al.. (2024). Deep-stratification of the cardiovascular risk by ultrasound carotid artery images. Biomedical Signal Processing and Control. 91. 106035–106035. 1 indexed citations

Igual, Laura, et al.. (2024). A Sustainable mHealth Intervention to Promote Physical Activity for Healthy Aging: A Pilot Study of the “Every Walk You Take” Citizen Science Initiative. Sustainability. 16(13). 5338–5338. 1 indexed citations

Igual, Laura & Santi Seguí. (2024). Introduction to Data Science. 3 indexed citations

Kushibar, Kaisar, Richard Osuala, Oliver Díaz, et al.. (2023). High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. Frontiers in Oncology. 12. 1044496–1044496. 16 indexed citations

Igual, Laura, Beatriz Remeseiro, Roberto Elosúa, et al.. (2022). Polyvascular Subclinical Atherosclerosis: Correlation Between Ankle Brachial Index and Carotid Atherosclerosis in a Population-Based Sample. Angiology. 74(5). 443–451. 1 indexed citations

Kushibar, Kaisar, et al.. (2022). Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study. Artificial Intelligence in Medicine. 132. 102386–102386. 24 indexed citations

Remeseiro, Beatriz, Laura Igual, Roberto Elosúa, et al.. (2021). Do individuals with autoimmune disease have increased risk of subclinical carotid atherosclerosis and stiffness?. Hypertension Research. 44(8). 978–987. 2 indexed citations

Remeseiro, Beatriz, et al.. (2019). Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation. Artificial Intelligence in Medicine. 103. 101784–101784. 44 indexed citations

10.

Rodrigues, Paulo S., et al.. (2018). Multiple Sclerosis Lesion Segmentation using Improved Convolutional Neural Networks. 260–269. 8 indexed citations

11.

Bergé, Daniel, et al.. (2017). Increased nucleus accumbens volume in first-episode psychosis. Psychiatry Research Neuroimaging. 263. 57–60. 10 indexed citations

12.

Puertas, Eloi, et al.. (2017). Data-driven system to predict academic grades and dropout. PLoS ONE. 12(2). e0171207–e0171207. 101 indexed citations

13.

Bautista, Miguel Ángel, Antonio Hernández-Vela, Sérgio Escalera, et al.. (2015). A Gesture Recognition System for Detecting Behavioral Patterns of ADHD. IEEE Transactions on Cybernetics. 46(1). 136–147. 35 indexed citations

14.

Igual, Laura, et al.. (2014). Active Contour Segmentation with Affine Coordinate-based Parametrization. 5–14. 2 indexed citations

15.

Igual, Laura, et al.. (2013). Robust gait-based gender classification using depth cameras. EURASIP Journal on Image and Video Processing. 2013(1). 126 indexed citations

16.

Igual, Laura, et al.. (2012). Automatic brain caudate nuclei segmentation and classification in diagnostic of Attention-Deficit/Hyperactivity Disorder. Computerized Medical Imaging and Graphics. 36(8). 591–600. 24 indexed citations

17.

Igual, Laura, Joan Carles Soliva, Antonio Hernández-Vela, et al.. (2012). Supervised brain segmentation and classification in diagnostic of Attention-Deficit/Hyperactivity Disorder. 26. 182–187. 6 indexed citations

18.

Hernández-Vela, Antonio, Carlo Gatta, Sérgio Escalera, et al.. (2011). Accurate and Robust Fully-Automatic QCA: Method and Numerical Validation. Lecture notes in computer science. 14(Pt 3). 496–503. 8 indexed citations

19.

Igual, Laura, Joan Carles Soliva, Antonio Hernández-Vela, et al.. (2011). A fully-automatic caudate nucleus segmentation of brain MRI: Application in volumetric analysis of pediatric attention-deficit/hyperactivity disorder. BioMedical Engineering OnLine. 10(1). 105–105. 22 indexed citations

20.

Malagelada, Carolina, et al.. (2009). Intestinal motor activity, endoluminal motion and transit. Neurogastroenterology & Motility. 21(12). 1264–1264. 20 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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