Celia Varela

444 total citations
10 papers, 309 citations indexed

About

Celia Varela is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Celia Varela has authored 10 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Celia Varela's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Image Retrieval and Classification Techniques (3 papers). Celia Varela is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Image Retrieval and Classification Techniques (3 papers). Celia Varela collaborates with scholars based in Netherlands, Spain and Portugal. Celia Varela's co-authors include Nico Karssemeijer, Sheila Timp, Arturo J. Méndez, Miguel Souto, J Vidal, Pablo G. Tahoces, Roland Holland, Jan H. C. L. Hendriks, Alejandro Garrido‐Maestu and María-José Chapela and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Aquaculture and American Journal of Roentgenology.

In The Last Decade

Celia Varela

10 papers receiving 287 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 Varela Netherlands 7 254 142 139 54 49 10 309
Rob van de Loo Netherlands 5 297 1.2× 126 0.9× 212 1.5× 49 0.9× 45 0.9× 5 379
M. Milagro Fernández-Carrobles Spain 11 206 0.8× 122 0.9× 86 0.6× 52 1.0× 43 0.9× 18 315
Tianhao Zhao China 7 233 0.9× 94 0.7× 163 1.2× 56 1.0× 51 1.0× 13 349
W. Roger Williams United States 2 201 0.8× 65 0.5× 156 1.1× 52 1.0× 48 1.0× 2 360
Shahira Abousamra United States 9 221 0.9× 141 1.0× 110 0.8× 55 1.0× 27 0.6× 23 324
Mart van Rijthoven Netherlands 7 231 0.9× 116 0.8× 169 1.2× 76 1.4× 29 0.6× 8 338
Mike Feldman United States 4 267 1.1× 170 1.2× 164 1.2× 38 0.7× 67 1.4× 4 395
Zhaoxuan Ma United States 8 254 1.0× 84 0.6× 182 1.3× 64 1.2× 45 0.9× 9 377
Shazia Akbar United Kingdom 8 150 0.6× 104 0.7× 116 0.8× 34 0.6× 39 0.8× 20 269
Brandon Ginley United States 8 195 0.8× 102 0.7× 86 0.6× 52 1.0× 36 0.7× 27 354

Countries citing papers authored by Celia Varela

Since Specialization
Citations

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

Fields of papers citing papers by Celia Varela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Celia Varela

This figure shows the co-authorship network connecting the top 25 collaborators of Celia Varela. A scholar is included among the top collaborators of Celia Varela 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 Varela. Celia Varela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Varela, Celia, et al.. (2021). Ecografía de los troncos supraaórticos. Medicina de Familia SEMERGEN. 48(3). 195–199. 3 indexed citations
2.
3.
Varela, Celia, et al.. (2011). Impact on Breast Cancer Diagnosis in a Multidisciplinary Unit After the Incorporation of Mammography Digitalization and Computer-Aided Detection Systems. American Journal of Roentgenology. 197(6). 1492–1497. 14 indexed citations
4.
Timp, Sheila, Celia Varela, & Nico Karssemeijer. (2010). Computer-Aided Diagnosis With Temporal Analysis to Improve Radiologists’ Interpretation of Mammographic Mass Lesions. IEEE Transactions on Information Technology in Biomedicine. 14(3). 803–808. 24 indexed citations
5.
Timp, Sheila, Celia Varela, & Nico Karssemeijer. (2007). Temporal Change Analysis for Characterization of Mass Lesions in Mammography. IEEE Transactions on Medical Imaging. 26(7). 945–953. 56 indexed citations
6.
Varela, Celia, Pablo G. Tahoces, Arturo J. Méndez, Miguel Souto, & J Vidal. (2006). Computerized detection of breast masses in digitized mammograms. Computers in Biology and Medicine. 37(2). 214–226. 90 indexed citations
7.
Varela, Celia, Sheila Timp, & Nico Karssemeijer. (2006). Use of border information in the classification of mammographic masses. Physics in Medicine and Biology. 51(2). 425–441. 64 indexed citations
8.
Varela, Celia, Nico Karssemeijer, Jan H. C. L. Hendriks, & Roland Holland. (2005). Use of prior mammograms in the classification of benign and malignant masses. European Journal of Radiology. 56(2). 248–255. 40 indexed citations
9.
Engeland, Saskia van, Celia Varela, Sheila Timp, Peter R. Snoeren, & Nico Karssemeijer. (2005). Using context for mass detection and classification in mammograms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5749. 94–94. 2 indexed citations
10.
Varela, Celia, J. Müller, & Nico Karssemeijer. (2003). Mammographic mass characterization using sharpness and lobulation measures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5032. 120–120. 2 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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2026