Wanda Benešová

797 total citations · 1 hit paper
40 papers, 510 citations indexed

About

Wanda Benešová is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Wanda Benešová has authored 40 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Human-Computer Interaction. Recurrent topics in Wanda Benešová's work include Visual Attention and Saliency Detection (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Medical Image Segmentation Techniques (5 papers). Wanda Benešová is often cited by papers focused on Visual Attention and Saliency Detection (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Medical Image Segmentation Techniques (5 papers). Wanda Benešová collaborates with scholars based in Slovakia, Austria and Czechia. Wanda Benešová's co-authors include Carlos Efrén Mora Luis, María Dolores Meneses Fernández, Jorge Martín‐Gutiérrez, Manuela Waldner, Ivan Viola, Ramazan Aygün, Horst Bischof, Lucas Paletta, Roland Perko and Irina Malkin Ondík and has published in prestigious journals such as Computers in Human Behavior, Pattern Recognition Letters and IEEE Signal Processing Letters.

In The Last Decade

Wanda Benešová

37 papers receiving 471 citations

Hit Papers

Augmented reality to promote collaborative and autonomous... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Augmented reality to promote collaborative and autonomous learning in higher education
    2014 310 citations Jorge Martín‐Gutiérrez, Wanda Benešová et al. Computers in Human Behavior profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanda Benešová Slovakia 7 297 193 122 61 44 40 510
Jeff K. T. Tang Hong Kong 11 315 1.1× 187 1.0× 48 0.4× 50 0.8× 69 1.6× 32 587
Mau‐Tsuen Yang Taiwan 14 322 1.1× 112 0.6× 60 0.5× 64 1.0× 41 0.9× 28 564
Hongwei Yang China 6 193 0.6× 218 1.1× 65 0.5× 22 0.4× 77 1.8× 16 486
Sehat Ullah Pakistan 15 275 0.9× 232 1.2× 81 0.7× 45 0.7× 53 1.2× 66 682
Ojaswa Sharma India 7 184 0.6× 96 0.5× 76 0.6× 51 0.8× 48 1.1× 25 373
Sebastian Kapp Germany 10 334 1.1× 265 1.4× 153 1.3× 32 0.5× 112 2.5× 14 576
Michael Thees Germany 9 284 1.0× 210 1.1× 149 1.2× 35 0.6× 109 2.5× 14 505
Roghayeh Barmaki United States 11 117 0.4× 112 0.6× 97 0.8× 89 1.5× 76 1.7× 40 477
Marc Ericson C. Santos Japan 7 492 1.7× 309 1.6× 235 1.9× 41 0.7× 103 2.3× 18 646
Matjaž Kljun Slovenia 12 168 0.6× 194 1.0× 51 0.4× 25 0.4× 30 0.7× 42 356

Countries citing papers authored by Wanda Benešová

Since Specialization
Citations

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

Fields of papers citing papers by Wanda Benešová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanda Benešová

This figure shows the co-authorship network connecting the top 25 collaborators of Wanda Benešová. A scholar is included among the top collaborators of Wanda Benešová 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 Wanda Benešová. Wanda Benešová 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.
Benešová, Wanda, et al.. (2024). Improving radial lens distortion correction with multi-task learning. Pattern Recognition Letters. 183. 147–154. 1 indexed citations
2.
Benešová, Wanda, et al.. (2024). Radiomics of pituitary adenoma using computer vision: a review. Medical & Biological Engineering & Computing. 62(12). 3581–3597. 1 indexed citations
3.
Benešová, Wanda, et al.. (2024). Attention-Enhanced Unpaired xAI-GANs for Transformation of Histological Stain Images. Journal of Imaging. 10(2). 32–32. 2 indexed citations
4.
Benešová, Wanda, et al.. (2024). Intrinsically explainable deep learning architecture for semantic segmentation of histological structures in heart tissue. Computers in Biology and Medicine. 177. 108624–108624. 2 indexed citations
5.
Benešová, Wanda, et al.. (2024). Football Playing Field Registration Using Distance Maps. 106–110. 1 indexed citations
6.
7.
Benešová, Wanda, et al.. (2023). Improving a neural network model by explanation-guided training for glioma classification based on MRI data. International Journal of Information Technology. 15(5). 2593–2601. 13 indexed citations
8.
Benešová, Wanda, et al.. (2023). Football360: Introducing a New Dataset for Camera Calibration in Sports Domain. 301–308. 2 indexed citations
9.
Benešová, Wanda, et al.. (2023). Digital pathology in cardiac transplant diagnostics: from biopsies to algorithms. Cardiovascular Pathology. 68. 107587–107587. 2 indexed citations
10.
Benešová, Wanda, et al.. (2022). Unsupervised clustering-based analysis of the measured eye-tracking data. 27–27. 1 indexed citations
11.
Benešová, Wanda, et al.. (2020). Effects of individual’s emotions on saliency and visual search. The Visual Computer. 37(6). 1581–1592. 1 indexed citations
12.
13.
Benešová, Wanda, et al.. (2018). Polyphonic Note Transcription of Time-Domain Audio Signal with Deep WaveNet Architecture. 27. 1–5. 1 indexed citations
14.
Benešová, Wanda, et al.. (2017). Visual attention in egocentric field-of-view using RGB-D data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10341. 103410T–103410T. 2 indexed citations
15.
Benešová, Wanda, et al.. (2016). Automatic brain segmentation method based on supervoxels. 5. 1–4. 2 indexed citations
16.
Benešová, Wanda, et al.. (2016). Novelty-based Spatiotemporal Saliency Detection for Prediction of Gaze in Egocentric Video. IEEE Signal Processing Letters. 23(3). 394–398. 4 indexed citations
17.
Benešová, Wanda, et al.. (2015). Bottom-up saliency model generation using superpixels. 121–129. 3 indexed citations
18.
Martín‐Gutiérrez, Jorge, et al.. (2014). Augmented reality to promote collaborative and autonomous learning in higher education. Computers in Human Behavior. 51. 752–761. 310 indexed citations breakdown →
19.
Benešová, Wanda, et al.. (2011). Real-time pose invariant logo and pattern detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7878. 78780C–78780C. 2 indexed citations
20.
Bischof, Horst, et al.. (2006). Twin and scratch detection and removal in micrograph images of Inconel 718. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6070. 60700L–60700L. 2 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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