Jelena Božek

2.2k total citations
24 papers, 246 citations indexed

About

Jelena Božek is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jelena Božek has authored 24 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jelena Božek's work include AI in cancer detection (10 papers), Functional Brain Connectivity Studies (7 papers) and Digital Radiography and Breast Imaging (6 papers). Jelena Božek is often cited by papers focused on AI in cancer detection (10 papers), Functional Brain Connectivity Studies (7 papers) and Digital Radiography and Breast Imaging (6 papers). Jelena Božek collaborates with scholars based in Croatia, United Kingdom and United States. Jelena Božek's co-authors include Mislav Grgić, Mario Muštra, Jia‐Hong Gao, Hesheng Liu, Xi‐Nian Zuo, Hao-Ming Dong, Mark Jenkinson, Dijana Tralić, Ivan Kesedžić and Sonja Grgić and has published in prestigious journals such as NeuroImage, Cerebral Cortex and Human Brain Mapping.

In The Last Decade

Jelena Božek

23 papers receiving 235 citations

Peers

Jelena Božek
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 100
  • Cognitive Neuroscience 85
  • Artificial Intelligence 84
  • Computer Vision and Pattern Recognition 72
  • Pulmonary and Respiratory Medicine 24
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Tongtong Che China
Soorena Salari Iran
Nguyen Thanh Duc South Korea
Tabinda Sarwar Australia
Beanbonyka Rim South Korea
Marc-André Schulz Germany
Juan E. Arco Spain
Verónica Medina-Bañuelos Mexico
Alaa Bessadok Türkiye
Tongtong Che China View profile →
Citations per field, relative to Jelena Božek
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Citations per year, relative to Jelena Božek
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Countries citing papers authored by Jelena Božek

Since Specialization
Citations

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

Fields of papers citing papers by Jelena Božek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jelena Božek

This figure shows the co-authorship network connecting the top 25 collaborators of Jelena Božek. A scholar is included among the top collaborators of Jelena Božek 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 Jelena Božek. Jelena Božek 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
# Work Indexed citations
1 2
2 22
3 2
4 16
5 0
6 2
7 3
8 17
9 7
10 17
11 45
12 5
13 9
14
Application of Gabor filters for detection of dense tissue in mammograms
3
15
Shape analysis and classification of masses in mammographic images using neural networks
15
16
Validation of rigid registration of mammographic images
6
17
Comparative analysis of interpolation methods for bilateral asymmetry
4
18
A survey of mammographic image processing algorithms for bilateral asymmetry detection
5
19
Nipple detection in craniocaudal digital mammograms
4
20
Computer-aided detection and diagnosis of breast abnormalities in digital mammography
7

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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