Celia Cintas

1.1k total citations
31 papers, 262 citations indexed

About

Celia Cintas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Celia Cintas has authored 31 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Statistics and Probability. Recurrent topics in Celia Cintas's work include Anomaly Detection Techniques and Applications (7 papers), Image Processing and 3D Reconstruction (5 papers) and Morphological variations and asymmetry (3 papers). Celia Cintas is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Image Processing and 3D Reconstruction (5 papers) and Morphological variations and asymmetry (3 papers). Celia Cintas collaborates with scholars based in Argentina, United States and Mexico. Celia Cintas's co-authors include Claudio Delrieux, Rolando González‐José, Manuel Molinos Molinos, Soledad de Azevedo, Skyler Speakman, Carolina Paschetta, Mirsha Quinto‐Sánchez, William Ogallo, Caio César Silva de Cerqueira and Girmaw Abebe Tadesse and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Celia Cintas

25 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Celia Cintas Argentina 9 89 42 39 35 29 31 262
Mingquan Zhou China 9 206 2.3× 72 1.7× 19 0.5× 24 0.7× 4 0.1× 29 295
William J. Bodziak United States 8 74 0.8× 81 1.9× 19 0.5× 18 0.5× 5 0.2× 15 242
Stuart James United Kingdom 9 190 2.1× 38 0.9× 44 1.1× 5 0.1× 106 3.7× 46 463
Fernanda Andaló Brazil 10 174 2.0× 12 0.3× 35 0.9× 36 1.0× 20 0.7× 25 249
Andrea Del Mastio Italy 9 211 2.4× 71 1.7× 14 0.4× 5 0.1× 62 2.1× 15 336
Andrew Low Australia 4 37 0.4× 75 1.8× 11 0.3× 11 0.3× 6 0.2× 8 165
Indriyati Atmosukarto Singapore 11 173 1.9× 8 0.2× 54 1.4× 7 0.2× 18 0.6× 45 317
Dong‐Hwan Har South Korea 9 105 1.2× 11 0.3× 23 0.6× 4 0.1× 12 0.4× 29 367
Paweł Powroźnik Poland 8 82 0.9× 34 0.8× 40 1.0× 15 0.4× 64 2.2× 34 266
Connie L. Parks United States 11 57 0.6× 147 3.5× 17 0.4× 10 0.3× 20 272

Countries citing papers authored by Celia Cintas

Since Specialization
Citations

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

Fields of papers citing papers by Celia Cintas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Celia Cintas

This figure shows the co-authorship network connecting the top 25 collaborators of Celia Cintas. A scholar is included among the top collaborators of Celia Cintas 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 Celia Cintas. Celia Cintas 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
2.
Tadesse, Girmaw Abebe, Celia Cintas, Kush R. Varshney, et al.. (2023). Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digital Medicine. 6(1). 151–151. 12 indexed citations
4.
Cintas, Celia, Antonio J. Rueda, Rafael J. Segura, et al.. (2023). IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies. 5833–5841.
5.
Tadesse, Girmaw Abebe, et al.. (2022). Systematic Discovery of Bias in Data. 2022 IEEE International Conference on Big Data (Big Data). 4719–4725. 2 indexed citations
6.
Tadesse, Girmaw Abebe, William Ogallo, Celia Cintas, & Skyler Speakman. (2022). Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. 2022 IEEE International Conference on Big Data (Big Data). 1. 6039–6047. 1 indexed citations
7.
Cintas, Celia, et al.. (2022). A causal inference approach for estimating effects of non-pharmaceutical interventions during Covid-19 pandemic. PLoS ONE. 17(9). e0265289–e0265289. 8 indexed citations
8.
Cintas, Celia, et al.. (2022). Reconstruction of Iberian ceramic potteries using generative adversarial networks. Scientific Reports. 12(1). 10644–10644. 11 indexed citations
9.
Cintas, Celia, et al.. (2021). Bulsarapp: Interactive Visual Analysis for Surname Trend Exploration. IEEE Computer Graphics and Applications. 42(4). 28–39. 3 indexed citations
10.
Paschetta, Carolina, Soledad de Azevedo, Virgínia Ramallo, et al.. (2021). The impact of socioeconomic and phenotypic traits on self-perception of ethnicity in Latin America. Scientific Reports. 11(1). 12617–12617. 6 indexed citations
11.
Cintas, Celia, Ramya Raghavendra, Girmaw Abebe Tadesse, et al.. (2021). Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies.. PubMed. 2021. 324–333. 3 indexed citations
12.
Cintas, Celia, et al.. (2021). Learning feature representation of Iberian ceramics with automatic classification models. Journal of Cultural Heritage. 48. 65–73. 28 indexed citations
13.
Cintas, Celia, et al.. (2021). Pattern detection in the activation space for identifying synthesized content. Pattern Recognition Letters. 153. 207–213. 3 indexed citations
14.
15.
16.
Ramallo, Virgínia, Celia Cintas, Soledad de Azevedo, et al.. (2019). Body shape: Implications in the study of obesity and related traits. American Journal of Human Biology. 32(2). e23323–e23323. 10 indexed citations
17.
Cintas, Celia, et al.. (2019). Anomalous Pattern Detection in Activations and Reconstruction Error of Autoencoders. 1 indexed citations
18.
Azevedo, Soledad de, Macarena González, Celia Cintas, et al.. (2017). Nasal airflow simulations suggest convergent adaptation in Neanderthals and modern humans. Proceedings of the National Academy of Sciences. 114(47). 12442–12447. 31 indexed citations
19.
Cintas, Celia, Mirsha Quinto‐Sánchez, Carolina Paschetta, et al.. (2016). Automatic ear detection and feature extraction using Geometric Morphometrics and convolutional neural networks. IET Biometrics. 6(3). 211–223. 46 indexed citations
20.
Paschetta, Carolina, Soledad de Azevedo, Mirsha Quinto‐Sánchez, et al.. (2015). Shifts in subsistence type and its impact on the human skull's morphological integration. American Journal of Human Biology. 28(1). 118–128. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026