Andrea Valsecchi

656 total citations
28 papers, 364 citations indexed

About

Andrea Valsecchi is a scholar working on Computer Vision and Pattern Recognition, Archeology and Oral Surgery. According to data from OpenAlex, Andrea Valsecchi has authored 28 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Archeology and 7 papers in Oral Surgery. Recurrent topics in Andrea Valsecchi's work include Forensic Anthropology and Bioarchaeology Studies (10 papers), Dental Radiography and Imaging (7 papers) and Medical Image Segmentation Techniques (6 papers). Andrea Valsecchi is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (10 papers), Dental Radiography and Imaging (7 papers) and Medical Image Segmentation Techniques (6 papers). Andrea Valsecchi collaborates with scholars based in Spain, Italy and Japan. Andrea Valsecchi's co-authors include Sergio Damas, Pablo Mesejo, Óscar Ibáñez, Óscar Cordón, José Santamaría, Linda Marrakchi‐Kacem, Óscar Gómez, Stefano Cagnoni, Enrique Bermejo and Javier Irurita and has published in prestigious journals such as The Science of The Total Environment, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Andrea Valsecchi

27 papers receiving 356 citations

Peers

Andrea Valsecchi

CVPR

ARCHE

RNMI

Enrique Bermejo Spain

Yuru Pei China

Ayman Abaza United States

Chuanbin Liu China

Young-Min Song South Korea

Jianjun Li China

Marcel Lüthi Switzerland

Christian Knoll Germany

Jia‐Hong Lee Taiwan

Yeong-Gil Shin South Korea

Enrique Bermejo Spain

Andrea Valsecchi

104 ×0.7

CVPR

42 ×0.5

ARCHE

40 ×0.6

17 ×0.3

RNMI

23 ×0.4

Citations per year, relative to Andrea Valsecchi Andrea Valsecchi (= 1×) peers Enrique Bermejo

Countries citing papers authored by Andrea Valsecchi

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Valsecchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Valsecchi

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

Ibáñez, Óscar, Andrea Valsecchi, Enrique Bermejo, et al.. (2025). International validation study of AI-guided Craniofacial Superimposition in a contemporary population sample. Forensic Science International. 377. 112628–112628.

Valsecchi, Andrea, et al.. (2024). Information fusion for infant age estimation from deciduous teeth using machine learning. American Journal of Biological Anthropology. 184(2). e24912–e24912. 2 indexed citations

Valsecchi, Andrea, et al.. (2024). Evidence evaluation in craniofacial superimposition using likelihood ratios. Information Fusion. 111. 102489–102489. 2 indexed citations

Gómez, Óscar, Pablo Mesejo, Óscar Ibáñez, et al.. (2023). Evaluating artificial intelligence for comparative radiography. International Journal of Legal Medicine. 138(1). 307–327. 4 indexed citations

Ferraguti, Martina, Josué Martínez‐de la Puente, Cristina Rius, et al.. (2023). Spatial distribution and temporal dynamics of invasive and native mosquitoes in a large Mediterranean city. The Science of The Total Environment. 896. 165322–165322. 12 indexed citations

Valsecchi, Andrea, Antonio González, Mario Macías, et al.. (2023). Skeleton-ID: AI-driven Human Identification. 278–279. 2 indexed citations

Valsecchi, Andrea, et al.. (2022). Computer-aided craniofacial superimposition validation study: the identification of the leaders and participants of the Polish-Lithuanian January Uprising (1863–1864). International Journal of Legal Medicine. 138(1). 107–121. 4 indexed citations

Bermejo, Enrique, Enrique Fernández-Blanco, Andrea Valsecchi, et al.. (2022). FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs. Expert Systems with Applications. 210. 118457–118457. 6 indexed citations

Bermejo, Enrique, Kei Taniguchi, Yoshinori Ogawa, et al.. (2021). Automatic landmark annotation in 3D surface scans of skulls: Methodological proposal and reliability study. Computer Methods and Programs in Biomedicine. 210. 106380–106380. 27 indexed citations

10.

Valsecchi, Andrea & Sergio Damas. (2021). Stochastic 3D rock reconstruction using GANs. 7969–7976. 1 indexed citations

11.

Valsecchi, Andrea, Javier Irurita, & Pablo Mesejo. (2019). Age estimation in forensic anthropology: methodological considerations about the validation studies of prediction models. International Journal of Legal Medicine. 133(6). 1915–1924. 19 indexed citations

12.

Gómez, Óscar, Pablo Mesejo, Óscar Ibáñez, Andrea Valsecchi, & Óscar Cordón. (2019). Deep architectures for high-resolution multi-organ chest X-ray image segmentation. Neural Computing and Applications. 32(20). 15949–15963. 31 indexed citations

13.

Valsecchi, Andrea, et al.. (2018). Estimation of 2D to 3D dimensions and proportionality indices for facial examination. Forensic Science International. 287. 142–152. 8 indexed citations

14.

Bermejo, Enrique, et al.. (2017). Genetic algorithms for skull-face overlay including mandible articulation. Information Sciences. 420. 200–217. 10 indexed citations

15.

Bermejo, Enrique, Andrea Valsecchi, Sergio Damas, & Óscar Cordón. (2015). Bacterial Foraging Optimization for intensity-based medical image registration. 4(a). 2436–2443. 7 indexed citations

16.

Valsecchi, Andrea, Sergio Damas, José Santamaría, & Linda Marrakchi‐Kacem. (2014). Intensity-based image registration using scatter search. Artificial Intelligence in Medicine. 60(3). 151–163. 29 indexed citations

17.

Mesejo, Pablo, Andrea Valsecchi, Linda Marrakchi‐Kacem, Stefano Cagnoni, & Sergio Damas. (2014). Biomedical image segmentation using geometric deformable models and metaheuristics. Computerized Medical Imaging and Graphics. 43. 167–178. 43 indexed citations

18.

Ibáñez, Óscar, et al.. (2014). Ground truth data generation for skull–face overlay. International Journal of Legal Medicine. 129(3). 569–581. 15 indexed citations

19.

Valsecchi, Andrea, Leonardo Vanneschi, & Giancarlo Mauri. (2012). A study of search algorithms’ optimization speed. Journal of Combinatorial Optimization. 27(2). 256–270. 2 indexed citations

20.

Vanneschi, Leonardo, Andrea Valsecchi, & Riccardo Poli. (2009). Limitations of the fitness-proportional negative slope coefficient as a difficulty measure. BOA (University of Milano-Bicocca). 1877–1878. 6 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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