Gerda Bortsova

851 total citations
9 papers, 188 citations indexed

About

Gerda Bortsova is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Gerda Bortsova has authored 9 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Gerda Bortsova's work include Medical Image Segmentation Techniques (3 papers), Advanced Computational Techniques and Applications (1 paper) and Retinal Imaging and Analysis (1 paper). Gerda Bortsova is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Advanced Computational Techniques and Applications (1 paper) and Retinal Imaging and Analysis (1 paper). Gerda Bortsova collaborates with scholars based in Netherlands, Denmark and United States. Gerda Bortsova's co-authors include Marleen de Bruijne, Florian Dubost, Meike W. Vernooij, Hieab H.H. Adams, Pınar Yilmaz, Wiro J. Niessen, M. Arfan Ikram, Bart Liefers, Bram van Ginneken and Laurens Hogeweg and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Gerda Bortsova

9 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gerda Bortsova Netherlands	7	67	62	51	39	33	9	188
Yan Tong China	10	286 4.3×	26 0.4×	5 0.1×	17 0.4×	35 1.1×	32	435
Hoon Dong Kim South Korea	9	183 2.7×	19 0.3×	10 0.2×	18 0.5×	6 0.2×	24	291
Carolyn J. Park United States	6	51 0.8×	12 0.2×	20 0.4×	7 0.2×	4 0.1×	23	331
Nicola K. Dinsdale United Kingdom	7	106 1.6×	84 1.4×	5 0.1×	9 0.2×	30 0.9×	16	270
Susana Penas Portugal	9	227 3.4×	33 0.5×	27 0.5×	29 0.7×	3 0.1×	30	368
González-López Lucía Spain	8	57 0.9×	131 2.1×	12 0.2×	18 0.5×	2 0.1×	18	302
Abdelhakim Ouaalam United States	5	123 1.8×	91 1.5×	7 0.1×	5 0.1×	213 6.5×	5	305
Pan Liu China	8	107 1.6×	58 0.9×	5 0.1×	14 0.4×	3 0.1×	37	227
Patrick H. Luckett United States	11	73 1.1×	40 0.6×	5 0.1×	11 0.3×	7 0.2×	29	285
Jisung Kim South Korea	8	22 0.3×	36 0.6×	6 0.1×	52 1.3×	12 0.4×	16	273

Countries citing papers authored by Gerda Bortsova

Since Specialization

Citations

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

Fields of papers citing papers by Gerda Bortsova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerda Bortsova

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

All Works

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9 of 9 papers shown

1.

Xu, Bing, John C. Flournoy, Gerda Bortsova, et al.. (2024). Limited generalizability of multivariate brain-based dimensions of child psychiatric symptoms. Communications Psychology. 2(1). 16–16. 5 indexed citations

2.

Chatterjee, Soumick, Gerda Bortsova, Florian Dubost, et al.. (2022). DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. Journal of Imaging. 8(10). 259–259. 12 indexed citations

3.

Bortsova, Gerda, Daniël Bos, Florian Dubost, et al.. (2021). Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CT. Radiology Artificial Intelligence. 3(5). e200226–e200226. 14 indexed citations

4.

Bortsova, Gerda, Cristina González-Gonzalo, Florian Dubost, et al.. (2021). Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Analysis. 73. 102141–102141. 54 indexed citations

5.

Chatterjee, Soumick, Gerda Bortsova, Florian Dubost, et al.. (2020). DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset.. 1 indexed citations

6.

Tennakoon, Ruwan, Gerda Bortsova, Amirali Khodadadian Gostar, et al.. (2019). Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem. IEEE Transactions on Medical Imaging. 39(4). 854–865. 15 indexed citations

7.

Dubost, Florian, Pınar Yilmaz, Hieab H.H. Adams, et al.. (2018). Enlarged perivascular spaces in brain MRI: Automated quantification in four regions. NeuroImage. 185. 534–544. 74 indexed citations

8.

Bortsova, Gerda, et al.. (2012). Expert System for Security Audit Using Fuzzy Logic.. 146–151. 6 indexed citations

9.

Bortsova, Gerda, et al.. (2012). Methodology and ontology of expert system for information security audit. 238–243. 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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