Nóra Baka

640 citations
21 papers · 457 · h-index 12

Impact in

Papers in

Nóra Baka

21 papers receiving 442 citations

Peers

Nóra Baka
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 159
  • Radiology, Nuclear Medicine and Imaging 157
  • Health Informatics 9
  • Biomedical Engineering 219
  • Oral Surgery 27
Replace Valérie Burdin with:
Valérie Burdin France
Jérôme Schmid Switzerland
Abtin Rasoulian Canada
Robert Homan Netherlands
Thierry Cresson Canada
Javad Fotouhi United States
Stéphane Lavallée France
Athanasios Karamalis Germany
Tobias Gass Switzerland
Rahul Prasanna Kumar Norway
Nóra Baka relative to Valérie Burdin France Valérie Burdin's profile →
Citations per field
00.5×1.5×2.3×
Valérie Burdin · 1×
Citations per year

Countries citing papers authored by Nóra Baka

Since Specialization
Citations

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

Fields of papers citing papers by Nóra Baka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nóra Baka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nóra Baka Line = papers co-authored together Nóra Baka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011124
2 201454
3 201752
4 201337
5 201332
6 201222
7 201220
8 201317
9 201717
10 201414
11 201514
12 201611
13 20108
14 20117
15 20087
16 20107
17 20145
18 20135
19 20102
20 20231

About Nóra Baka

Nóra Baka is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Artificial Intelligence, having authored 21 papers that have together received 457 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Medical Imaging Techniques and Applications (8 papers), Medical Imaging and Analysis (6 papers), Advanced MRI Techniques and Applications (5 papers), Coronary Interventions and Diagnostics (2 papers), Cardiac Imaging and Diagnostics (2 papers), 3D Shape Modeling and Analysis (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (159 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Health Informatics (9 citations), Biomedical Engineering (219 citations) and Oral Surgery (27 citations). Nóra Baka has collaborated with scholars based in Netherlands, Denmark and United States. Frequent co-authors include Theo van Walsum, Wiro J. Niessen, Boudewijn P. F. Lelieveldt, Marleen de Bruijne, Bart L. Kaptein, J. Erik Giphart, Sieger Leenstra, Carl Schultz, Coert Metz and Robert‐Jan van Geuns. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Biomechanics, Medical Image Analysis, Medical Physics and Bone and Joint Research.

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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