Celia Cintas

1.2k citations
31 papers · 273 · h-index 10

Impact in

Papers in

Celia Cintas

25 papers receiving 251 citations

Peers

Celia Cintas
Comparison fields: 5 of 96
  • Space and Planetary Science 22
  • Geology 32
  • Health Informatics 6
  • Computer Vision and Pattern Recognition 93
  • Archeology 42
Replace Andrew Low with:
Andrew Low Australia
Paweł Powroźnik Poland
José Antonio Esquivel Guerrero Spain
Andrea Del Mastio Italy
Martha Sharp Joukowsky United States
Fernanda Andaló Brazil
Nanne van Noord Netherlands
E. Hendriks Netherlands
Olivier Balet Greece
Elena Sizikova United States
Celia Cintas relative to Andrew Low Australia Andrew Low's profile →
Citations per field
00.5×5.3×
Andrew Low · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Celia Cintas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Celia Cintas Line = papers co-authored together Celia Cintas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201648
2 201939
3 201731
4 202131
5 202017
6 202313
7 201512
8 202212
9 201910
10 20229
11 20227
12 20216
13 20235
14 20194
15 20194
16 20213
17
Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies.
20213
18 20213
19 20242
20 20192

About Celia Cintas

Celia Cintas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistics and Probability, Information Systems and Oncology, having authored 31 papers that have together received 273 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Image Processing and 3D Reconstruction (5 papers), Cutaneous Melanoma Detection and Management (3 papers), 3D Surveying and Cultural Heritage (3 papers), Adversarial Robustness in Machine Learning (2 papers), Blockchain Technology Applications and Security (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Reconstructive Facial Surgery Techniques (2 papers). The work is most often cited by research in Space and Planetary Science (22 citations), Geology (32 citations), Health Informatics (6 citations), Computer Vision and Pattern Recognition (93 citations) and Archeology (42 citations). Celia Cintas has collaborated with scholars based in Argentina, United States and Mexico. Frequent co-authors include Claudio Delrieux, Rolando González‐José, Manuel Molinos Molinos, Skyler Speakman, Soledad de Azevedo, Carolina Paschetta, Virgínia Ramallo, Mirsha Quinto‐Sánchez, Girmaw Abebe Tadesse and William Ogallo. Their work appears in journals such as Scientific Reports, Journal of Cultural Heritage, American Journal of Human Biology, Computer and PLoS ONE.

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