Nóra Baka

23 papers receiving 504 citations

Peers

Nóra Baka
Comparison fields: 5 of 58
  • Health Informatics 10
  • Computer Vision and Pattern Recognition 161
  • Radiology, Nuclear Medicine and Imaging 148
  • Biomedical Engineering 213
  • Oral Surgery 28
Replace Valérie Burdin with:
Valérie Burdin France
Abtin Rasoulian Canada
Yuta Hiasa Japan
Alexander Tack Germany
Thierry Cresson Canada
Athanasios Karamalis Germany
Sebastian P. M. Dries Germany
Mehdi H. Moghari United States
Jens Kowal Switzerland
Robert B. Grupp United States
Nóra Baka relative to Valérie Burdin France Valérie Burdin's profile →
Citations per field
00.5×1.5×2.5×
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011148
2 201461
3 201756
4 201342
5 201333
6 201224
7 201221
8 201718
9 201317
10 201515
11 201415
12 201611
13 201010
14 20119
15 20109
16 20147
17 20087
18 20135
19 20164
20 20104

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 23 papers that have together received 522 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Medical Imaging Techniques and Applications (8 papers), Medical Imaging and Analysis (7 papers), Advanced MRI Techniques and Applications (6 papers), 3D Shape Modeling and Analysis (2 papers), Hip disorders and treatments (2 papers), Orthopaedic implants and arthroplasty (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Health Informatics (10 citations), Computer Vision and Pattern Recognition (161 citations), Radiology, Nuclear Medicine and Imaging (148 citations), Biomedical Engineering (213 citations) and Oral Surgery (28 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, Coert Metz, Carl Schultz and Robert‐Jan van Geuns. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Journal of Biomechanics, Physics in Medicine and Biology 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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