Fadila Zerka

28 total papers · 1.1k total citations
14 papers, 632 citations indexed

About

Fadila Zerka is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Fadila Zerka has authored 14 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Artificial Intelligence. Recurrent topics in Fadila Zerka's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced X-ray and CT Imaging (4 papers) and Privacy-Preserving Technologies in Data (4 papers). Fadila Zerka is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced X-ray and CT Imaging (4 papers) and Privacy-Preserving Technologies in Data (4 papers). Fadila Zerka collaborates with scholars based in Netherlands, Belgium and Switzerland. Fadila Zerka's co-authors include Philippe Lambin, Seán Walsh, Ralph T. H. Leijenaar, Benjamin Miraglio, Henry C. Woodruff, Akshayaa Vaidyanathan, Wim Vos, Sergey Primakov, Renée W. Y. Granzier and Simon Keek and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Fadila Zerka

14 papers receiving 625 citations

Hit Papers

A review in radiomics: Ma... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fadila Zerka 408 152 150 120 72 14 632
Avi Ben-Cohen 259 0.6× 67 0.4× 203 1.4× 115 1.0× 32 0.4× 10 581
Behzad Forghani 484 1.2× 119 0.8× 99 0.7× 180 1.5× 61 0.8× 9 643
Qing Fu 551 1.4× 139 0.9× 266 1.8× 58 0.5× 45 0.6× 32 707
Francesca Patella 224 0.5× 148 1.0× 146 1.0× 59 0.5× 53 0.7× 24 634
Marco Alì 258 0.6× 87 0.6× 54 0.4× 106 0.9× 78 1.1× 54 613
Ravi Aggarwal 271 0.7× 80 0.5× 200 1.3× 101 0.8× 46 0.6× 12 747
Christoph Haarburger 440 1.1× 76 0.5× 304 2.0× 90 0.8× 48 0.7× 16 649
Andrea Damiani 402 1.0× 127 0.8× 84 0.6× 100 0.8× 287 4.0× 45 697
Baher Elgohari 321 0.8× 176 1.2× 70 0.5× 100 0.8× 108 1.5× 33 607
Joshy Cyriac 468 1.1× 124 0.8× 93 0.6× 256 2.1× 51 0.7× 21 744

Countries citing papers authored by Fadila Zerka

Since Specialization
Citations

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

Fields of papers citing papers by Fadila Zerka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fadila Zerka

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

All Works

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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