Débora Gil

3.6k total citations · 1 hit paper
106 papers, 2.1k citations indexed

About

Débora Gil is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Débora Gil has authored 106 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Surgery and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Débora Gil's work include Medical Image Segmentation Techniques (17 papers), Lung Cancer Diagnosis and Treatment (16 papers) and Coronary Interventions and Diagnostics (13 papers). Débora Gil is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), Lung Cancer Diagnosis and Treatment (16 papers) and Coronary Interventions and Diagnostics (13 papers). Débora Gil collaborates with scholars based in Spain, United Kingdom and France. Débora Gil's co-authors include Jorge Bernal, Fernando Vilariño, F. Javier Sánchez, Cristina Rodríguez de Miguel, Glòria Fernández‐Esparrach, Petia Radeva, Aura Hernández-Sabaté, Enric Martı́, Francesc Carreras and Manel Ballester and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and CHEST Journal.

In The Last Decade

Débora Gil

102 papers receiving 2.0k citations

Hit Papers

WM-DOVA maps for accurate polyp highlighting in colonosco... 2015 2026 2018 2022 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Débora Gil Spain 18 749 694 492 484 254 106 2.1k
Carmelo Militello Italy 27 499 0.7× 417 0.6× 154 0.3× 326 0.7× 196 0.8× 126 1.9k
Chung‐Ming Chen Taiwan 24 452 0.6× 1.1k 1.6× 388 0.8× 652 1.3× 345 1.4× 127 2.5k
Constantino Carlos Reyes‐Aldasoro United Kingdom 24 377 0.5× 632 0.9× 405 0.8× 670 1.4× 86 0.3× 99 2.6k
Evangelia I. Zacharaki Greece 24 791 1.1× 1.4k 1.9× 190 0.4× 499 1.0× 135 0.5× 88 2.8k
Yi Gao China 21 626 0.8× 764 1.1× 274 0.6× 845 1.7× 104 0.4× 109 2.1k
Xiaohong Gao China 26 646 0.9× 526 0.8× 106 0.2× 362 0.7× 81 0.3× 115 2.2k
Mia K. Markey United States 32 1.1k 1.4× 975 1.4× 292 0.6× 787 1.6× 374 1.5× 225 3.9k
Yao Lu China 24 519 0.7× 956 1.4× 130 0.3× 671 1.4× 104 0.4× 161 2.2k
Noel Codella United States 23 292 0.4× 705 1.0× 846 1.7× 883 1.8× 139 0.5× 46 2.3k
Gregor Urban United States 12 398 0.5× 454 0.7× 367 0.7× 381 0.8× 129 0.5× 24 1.6k

Countries citing papers authored by Débora Gil

Since Specialization
Citations

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

Fields of papers citing papers by Débora Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Débora Gil

This figure shows the co-authorship network connecting the top 25 collaborators of Débora Gil. A scholar is included among the top collaborators of Débora Gil 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 Débora Gil. Débora Gil 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.
Musulén, Eva, et al.. (2025). Diagnosing Helicobacter pylori using autoencoders and limited annotations through anomalous staining patterns in IHC whole slide images. International Journal of Computer Assisted Radiology and Surgery. 20(4). 765–773. 2 indexed citations
2.
Hernández-Sabaté, Aura, et al.. (2024). From traditional teaching to flipped classroom: Impact on learning in engineering degrees. Journal of Technology and Science Education. 14(3). 798–798.
3.
Gil, Débora, Cristian Tebé, Ignasi Guasch, et al.. (2024). Radiomics and Clinical Data for the Diagnosis of Incidental Pulmonary Nodules and Lung Cancer Screening: Radiolung Integrative Predictive Model. Archivos de Bronconeumología. 60. S22–S30.
4.
Castells‐Rufas, David, et al.. (2022). A Survey of FPGA-Based Vision Systems for Autonomous Cars. IEEE Access. 10. 132525–132563. 12 indexed citations
5.
Gil, Débora, et al.. (2020). Intraoperative Extraction of Airways Anatomy in VideoBronchoscopy. IEEE Access. 8. 159696–159704. 3 indexed citations
6.
Gil, Débora, et al.. (2019). ES08.05 Advances in Artificial Intelligence - How Lung Cancer CT Screening Will Progress?. Journal of Thoracic Oncology. 14(10). S33–S33. 1 indexed citations
7.
Rosell, Antoni, et al.. (2018). BronchoX: bronchoscopy exploration software for biopsy intervention planning. Healthcare Technology Letters. 5(5). 177–182. 4 indexed citations
8.
Rincón, Jesús Martínez del, et al.. (2018). Continuous Head Pose Estimation Using Manifold Subspace Embedding and Multivariate Regression. IEEE Access. 6. 18325–18334. 14 indexed citations
9.
Gil, Débora, et al.. (2017). P1.04-002 Positive Airway Pressure-Enhanced CT to Improve Virtual Bronchoscopic Navigation. Journal of Thoracic Oncology. 12(1). S596–S597. 1 indexed citations
10.
Gil, Débora, et al.. (2017). Objective Endoscopic Measurements of Central Airway Stenosis: A Pilot Study. Respiration. 95(1). 63–69. 5 indexed citations
11.
Bernal, Jorge, et al.. (2015). Toward online quantification of tracheal stenosis from videobronchoscopy. International Journal of Computer Assisted Radiology and Surgery. 10(6). 935–945. 6 indexed citations
12.
Palming, Jenny, Tore Persson, Maria J. Pereira, et al.. (2013). Differences between men and women in the regulation of adipose 11β‐ HSD1 and in its association with adiposity and insulin resistance. Diabetes Obesity and Metabolism. 15(11). 1056–1060. 9 indexed citations
13.
Roche, David, Débora Gil, & Jesús Giraldo. (2012). Multiple active receptor conformation, agonist efficacy and maximum effect of the system: the conformation-based operational model of agonism. Drug Discovery Today. 18(7-8). 365–371. 9 indexed citations
14.
Roche, David, Débora Gil, & Jesús Giraldo. (2011). An inference model for analyzing termination conditions of Evolutionary Algorithms. 232. 218–227. 2 indexed citations
15.
Andaluz, Anna, et al.. (2010). Decoupled external forces in a predictor-corrector segmentation scheme for LV contours in Tagged MR images. PubMed. 687. 4805–4808. 2 indexed citations
16.
Mencuccini, Maurizio, Jordi Martínez‐Vilalta, Josep Piñol, et al.. (2010). A quantitative and statistically robust method for the determination of xylem conduit spatial distribution. American Journal of Botany. 97(8). 1247–1259. 21 indexed citations
17.
Radeva, Petia, et al.. (2008). Modelling of image-catheter motion for 3-D IVUS. Medical Image Analysis. 13(1). 91–104. 15 indexed citations
18.
Gorman, Tracy, David C. D. Hope, Alice Yu, et al.. (2007). Effect of high‐fat diet on glucose homeostasis and gene expression in glucokinase knockout mice. Diabetes Obesity and Metabolism. 10(10). 885–897. 27 indexed citations
19.
Hernández-Sabaté, Aura, et al.. (2006). Reducing cardiac motion in IVUS sequences. Computing in Cardiology Conference. 685–688. 3 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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