Nóra Baka

640 total citations
21 papers, 457 citations indexed

About

Nóra Baka is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Nóra Baka has authored 21 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Nóra Baka's work include Medical Image Segmentation Techniques (12 papers), Medical Imaging Techniques and Applications (8 papers) and Medical Imaging and Analysis (6 papers). Nóra Baka is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Medical Imaging Techniques and Applications (8 papers) and Medical Imaging and Analysis (6 papers). Nóra Baka collaborates with scholars based in Netherlands, Denmark and United States. Nóra Baka's 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 and has published in prestigious journals such as Journal of Biomechanics, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Nóra Baka

21 papers receiving 442 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nóra Baka Netherlands 12 219 159 157 149 43 21 457
Valérie Burdin France 13 183 0.8× 97 0.6× 136 0.9× 263 1.8× 15 0.3× 70 589
Steffen Schumann Switzerland 13 215 1.0× 87 0.5× 128 0.8× 323 2.2× 17 0.4× 32 573
Ameet Jain United States 11 261 1.2× 152 1.0× 168 1.1× 86 0.6× 59 1.4× 35 456
Primož Markelj Slovenia 8 337 1.5× 361 2.3× 295 1.9× 158 1.1× 99 2.3× 12 709
Abtin Rasoulian Canada 16 469 2.1× 150 0.9× 141 0.9× 340 2.3× 36 0.8× 33 698
Jane Haslam United Kingdom 5 175 0.8× 433 2.7× 138 0.9× 86 0.6× 18 0.4× 6 667
Stéphane Lavallée France 12 245 1.1× 193 1.2× 92 0.6× 425 2.9× 40 0.9× 29 730
Jérôme Schmid Switzerland 11 163 0.7× 108 0.7× 59 0.4× 212 1.4× 11 0.3× 30 419
Athanasios Karamalis Germany 9 152 0.7× 135 0.8× 166 1.1× 76 0.5× 11 0.3× 18 348
Everine B. van de Kraats Netherlands 12 188 0.9× 166 1.0× 148 0.9× 232 1.6× 35 0.8× 17 463

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-authorship network of co-authors of Nóra Baka

This figure shows the co-authorship network connecting the top 25 collaborators of Nóra Baka. A scholar is included among the top collaborators of Nóra Baka 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 Nóra Baka. Nóra Baka 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
1.
Wang, Yu, et al.. (2023). Detecting Objects with Context-Likelihood Graphs and Graph Refinement. UvA-DARE (University of Amsterdam). 6501–6510. 1 indexed citations
2.
Baka, Nóra, Sieger Leenstra, & Theo van Walsum. (2017). Random Forest-Based Bone Segmentation in Ultrasound. Ultrasound in Medicine & Biology. 43(10). 2426–2437. 17 indexed citations
3.
Baka, Nóra, Sieger Leenstra, & Theo van Walsum. (2017). Ultrasound Aided Vertebral Level Localization for Lumbar Surgery. IEEE Transactions on Medical Imaging. 36(10). 2138–2147. 52 indexed citations
4.
Valstar, E.R., et al.. (2016). Three dimensional measurement of minimum joint space width in the knee from stereo radiographs using statistical shape models. Bone and Joint Research. 5(8). 320–327. 11 indexed citations
5.
Baka, Nóra, Boudewijn P. F. Lelieveldt, Carl Schultz, Wiro J. Niessen, & Theo van Walsum. (2015). Respiratory motion estimation in x-ray angiography for improved guidance during coronary interventions. Physics in Medicine and Biology. 60(9). 3617–3637. 14 indexed citations
6.
Baka, Nóra, et al.. (2014). 3D/3D registration of coronary CTA and biplane XA reconstructions for improved image guidance. Medical Physics. 41(9). 91909–91909. 5 indexed citations
7.
Campoli, Gianni, Nóra Baka, Bart L. Kaptein, et al.. (2014). Relationship between the shape and density distribution of the femur and its natural frequencies of vibration. Journal of Biomechanics. 47(13). 3334–3343. 14 indexed citations
8.
Baka, Nóra, Coert Metz, Carl Schultz, et al.. (2014). Oriented Gaussian Mixture Models for Nonrigid 2D/3D Coronary Artery Registration. IEEE Transactions on Medical Imaging. 33(5). 1023–1034. 54 indexed citations
9.
Baka, Nóra, Bart L. Kaptein, J. Erik Giphart, et al.. (2013). Evaluation of automated statistical shape model based knee kinematics from biplane fluoroscopy. Journal of Biomechanics. 47(1). 122–129. 32 indexed citations
10.
Baka, Nóra, Coert Metz, Carl Schultz, et al.. (2013). Statistical coronary motion models for 2D+t/3D registration of X-ray coronary angiography and CTA. Medical Image Analysis. 17(6). 698–709. 37 indexed citations
12.
Haak, Alexander, Gonzalo Vegas‐Sánchez‐Ferrero, Hortense A. Kirişli, et al.. (2013). Simultaneous segmentation of multiple heart cavities in 3D transesophageal echocardiograms. 659–662. 5 indexed citations
13.
Baka, Nóra, Marleen de Bruijne, Theo van Walsum, et al.. (2012). Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy. IEEE Transactions on Medical Imaging. 31(8). 1573–1583. 22 indexed citations
14.
Metz, Coert, Nóra Baka, Hortense A. Kirişli, et al.. (2012). Regression-Based Cardiac Motion Prediction From Single-Phase CTA. IEEE Transactions on Medical Imaging. 31(6). 1311–1325. 20 indexed citations
15.
Baka, Nóra, Coert Metz, Carl Schultz, et al.. (2012). 3D+t/2D+t CTA-XA registration using population-based motion estimates. Research at the University of Copenhagen (University of Copenhagen). 1 indexed citations
16.
Baka, Nóra, Coert Metz, Michiel Schaap, et al.. (2011). Comparison of Shape Regression Methods under Landmark Position Uncertainty. Lecture notes in computer science. 14(Pt 2). 434–441. 7 indexed citations
17.
Baka, Nóra, Bart L. Kaptein, Marleen de Bruijne, et al.. (2011). 2D–3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models. Medical Image Analysis. 15(6). 840–850. 124 indexed citations
18.
Metz, Coert, Nóra Baka, Hortense A. Kirişli, et al.. (2010). Conditional Shape Models for Cardiac Motion Estimation. Lecture notes in computer science. 13(Pt 1). 452–459. 8 indexed citations
19.
Baka, Nóra, Wiro J. Niessen, Bart L. Kaptein, et al.. (2010). Correspondence free 3D statistical shape model fitting to sparse x-ray projections. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 76230D–76230D. 2 indexed citations
20.
Baka, Nóra, Julien Milles, Ella Hendriks, et al.. (2008). Segmentation of myocardial perfusion MR sequences with multi-band active appearance models driven by spatial and temporal features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6914. 691415–691415. 7 indexed citations

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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