Ivana Despotović

15 papers receiving 564 citations

Hit Papers

MRI Segmentation of the Human Brain: Challenges, Methods,...20152026201820222015100200300400

Peers

Ivana Despotović
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 296
  • Neurology 229
  • Radiology, Nuclear Medicine and Imaging 189
  • Artificial Intelligence 86
  • Cognitive Neuroscience 81
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Countries citing papers authored by Ivana Despotović

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Despotović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Despotović

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 9
2
Evaluating the long-term effects of anti-vascular endothelial growth factor therapy on choroidal neovascularization in age-related macular degeneration using optical coherence tomography angiography
0
3 17
4 11
5
MRI Segmentation of the Human Brain: Challenges, Methods, and Applicationsbreakdown →
434
6 6
7 3
8 24
9
Influence of volume conductor model errors on EEG dipole source localization in neonates
1
10 25
11 9
12 16
13 3
14 11
15 7
16
Using phase information in ultrasound RF-signals for tissue characterization
8

About Ivana Despotović

Ivana Despotović is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 584 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Advanced MRI Techniques and Applications (5 papers) and Retinal Imaging and Analysis (4 papers). The work is most often cited by research in Neurology (229 citations), Computer Vision and Pattern Recognition (296 citations) and Radiology, Nuclear Medicine and Imaging (189 citations). Ivana Despotović has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Wilfried Philips, Bart Goossens, Ewout Vansteenkiste, Eric M. Moult, Nadia K. Waheed, Hans Hallez, Aleksandra Pižurica, A. Yasin Alibhai, Ljiljana Platiša and Usha Chakravarthy. Their work appears in journals such as Human Brain Mapping, Investigative Ophthalmology & Visual Science and IEEE Signal Processing Letters.

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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