Ozan Ciga

817 citations
4 papers · 484 indexed · 1 hit paper · h-index 4
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)AI in cancer detection (4 papers)Digital Imaging for Blood Diseases (2 papers)
Partner nations
CanadaSwedenFrance

In The Last Decade

Ozan Ciga

4 papers receiving 478 citations

Hit Papers

Deep neural network models for computational histopatholo...20202026202220242020100200300400

Peers

Ozan Ciga
Comparison fields: 5 of 68
  • Artificial Intelligence 387
  • Radiology, Nuclear Medicine and Imaging 250
  • Computer Vision and Pattern Recognition 193
  • Oncology 80
  • Biophysics 65
Replace Chetan L. Srinidhi with:
Chetan L. Srinidhi India
Żaneta Świderska-Chadaj Poland
David Tellez Netherlands
John‐Melle Bokhorst Netherlands
Huangjing Lin Hong Kong
Rob van de Loo Netherlands
Aïcha BenTaieb Canada
Oscar Geessink Netherlands
Quirine F. Manson Netherlands
Jinzheng Cai United States
Ozan Ciga relative to Chetan L. Srinidhi India Chetan L. Srinidhi's profile →
Citations per field
00.5×1.5×
Chetan L. Srinidhi · 1×
Citations per year

Countries citing papers authored by Ozan Ciga

Since Specialization
Citations

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

Fields of papers citing papers by Ozan Ciga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ozan Ciga

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 7
2 29
3
Deep neural network models for computational histopathology: A surveybreakdown →
433
4 15

About Ozan Ciga

Ozan Ciga is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 484 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Health Informatics (21 citations), Artificial Intelligence (387 citations) and Biophysics (65 citations). Ozan Ciga has collaborated with scholars based in Canada, Sweden and France. Frequent co-authors include Anne L. Martel, Chetan L. Srinidhi, Sharon Nofech‐Mozes, Fang‐I Lu, Caroline Reinhold, Anthony Dohan, Jan Seuntjens, Reza Forghani, Sahir Bhatnagar and Yoshiko Ueno. Their work appears in journals such as Scientific Reports, Medical Image Analysis and Diagnostic and Interventional Imaging.

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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