Tomáš Majtner

719 total citations
23 papers, 341 citations indexed

About

Tomáš Majtner is a scholar working on Structural Biology, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Tomáš Majtner has authored 23 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Structural Biology, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Biophysics. Recurrent topics in Tomáš Majtner's work include Advanced Electron Microscopy Techniques and Applications (7 papers), Electron and X-Ray Spectroscopy Techniques (5 papers) and Image Processing Techniques and Applications (5 papers). Tomáš Majtner is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (7 papers), Electron and X-Ray Spectroscopy Techniques (5 papers) and Image Processing Techniques and Applications (5 papers). Tomáš Majtner collaborates with scholars based in Czechia, Denmark and Germany. Tomáš Majtner's co-authors include Sule Yildirim Yayilgan, Jon Yngve Hardeberg, David Svoboda, Jürgen Herp, Jens Kjeldsen, Jacob Broder Brodersen, Michael Dam Jensen, Victoria Blanes‐Vidal, Beata Turoňová and Martin Beck and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tomáš Majtner

22 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomáš Majtner Czechia 10 130 122 73 51 50 23 341
Lindsey Westbrook United States 7 49 0.4× 130 1.1× 86 1.2× 78 1.5× 204 4.1× 17 530
Erin McCarty United States 5 43 0.3× 63 0.5× 21 0.3× 159 3.1× 283 5.7× 10 503
Linpeng Wei United States 11 29 0.2× 57 0.5× 25 0.3× 137 2.7× 324 6.5× 16 616
Chong Zhang Spain 11 9 0.1× 42 0.3× 76 1.0× 135 2.6× 49 1.0× 32 460
Chengbo Yin United States 8 28 0.2× 50 0.4× 25 0.3× 122 2.4× 313 6.3× 12 532
D. Crellin United Kingdom 7 38 0.3× 119 1.0× 78 1.1× 68 1.3× 58 1.2× 11 315
Rana Riahi United States 7 119 0.9× 78 0.6× 45 0.6× 79 1.5× 54 1.1× 11 376
Andrew R. Rouse United States 10 23 0.2× 20 0.2× 31 0.4× 57 1.1× 278 5.6× 41 595
Filippo Arcadu Switzerland 10 62 0.5× 60 0.5× 48 0.7× 30 0.6× 11 0.2× 20 464
Leslie Solorzano Sweden 7 27 0.2× 137 1.1× 58 0.8× 111 2.2× 114 2.3× 12 343

Countries citing papers authored by Tomáš Majtner

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Majtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Majtner

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Majtner. A scholar is included among the top collaborators of Tomáš Majtner 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 Tomáš Majtner. Tomáš Majtner 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.
Majtner, Tomáš, Jan Philipp Kreysing, Maarten W. Tuijtel, et al.. (2025). cryoTIGER: deep-learning based tilt interpolation generator for enhanced reconstruction in cryo electron tomography. Communications Biology. 8(1). 1443–1443.
2.
Cruz-León, Sergio, Tomáš Majtner, Patrick C. Hoffmann, et al.. (2024). High-confidence 3D template matching for cryo-electron tomography. Nature Communications. 15(1). 3992–3992. 34 indexed citations
3.
Rodriguez-Aliaga, Piere, Tomáš Majtner, Stefanie Böhm, et al.. (2024). In situ analysis reveals the TRiC duty cycle and PDCD5 as an open-state cofactor. Nature. 637(8047). 983–990. 4 indexed citations
4.
Cruz-León, Sergio, Tomáš Majtner, Patrick C. Hoffmann, et al.. (2024). High-confidence 3D template matching for cryo-electron tomography. Biophysical Journal. 123(3). 183a–183a. 1 indexed citations
5.
Majtner, Tomáš, et al.. (2023). Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample Sizes. Biology. 12(10). 1276–1276. 2 indexed citations
6.
Majtner, Tomáš, et al.. (2022). ENNGene: an Easy Neural Network model building tool for Genomics. BMC Genomics. 23(1). 248–248. 7 indexed citations
7.
Majtner, Tomáš, et al.. (2021). A deep learning framework for autonomous detection and classification of Crohnʼs disease lesions in the small bowel and colon with capsule endoscopy. SHILAP Revista de lepidopterología. 9(9). E1361–E1370. 33 indexed citations
8.
Nadimi, Esmaeil S., Tomáš Majtner, Knud Bonnet Yderstræde, & Victoria Blanes‐Vidal. (2020). Facial erythema detects diabetic neuropathy using the fusion of machine learning, random matrix theory and self organized criticality. Scientific Reports. 10(1). 16785–16785. 5 indexed citations
9.
Majtner, Tomáš, Esmaeil S. Nadimi, Knud Bonnet Yderstræde, & Victoria Blanes‐Vidal. (2020). Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations. Computer Methods and Programs in Biomedicine. 196. 105619–105619. 7 indexed citations
10.
Majtner, Tomáš, et al.. (2020). Generalised deep learning framework for HEp‐2 cell recognition using local binary pattern maps. IET Image Processing. 14(6). 1201–1208. 2 indexed citations
11.
Blanes‐Vidal, Victoria, Tomáš Majtner, Luis David Avendaño-Valencia, Knud Bonnet Yderstræde, & Esmaeil S. Nadimi. (2019). Invisible Color Variations of Facial Erythema: A Novel Early Marker for Diabetic Complications?. Journal of Diabetes Research. 2019. 1–7. 4 indexed citations
12.
Maluenda, David, Tomáš Majtner, Péter Horváth, et al.. (2019). Flexible workflows for on-the-fly electron-microscopy single-particle image processing using Scipion. Acta Crystallographica Section D Structural Biology. 75(10). 882–894. 9 indexed citations
13.
Vilas, José Luis, Javier Mota, David Maluenda, et al.. (2018). Advances in image processing for single-particle analysis by electron cryomicroscopy and challenges ahead. Current Opinion in Structural Biology. 52. 127–145. 15 indexed citations
14.
Sorzano, Carlos Óscar S., Javier Vargas, Tomáš Majtner, et al.. (2018). Blind estimation of DED camera gain in Electron Microscopy. Journal of Structural Biology. 203(2). 90–93. 2 indexed citations
15.
Jonić, Slavica, Tomáš Majtner, Joaquı́n Otón, et al.. (2018). Validation of electron microscopy initial models via small angle X-ray scattering curves. Bioinformatics. 35(14). 2427–2433. 4 indexed citations
16.
Majtner, Tomáš, et al.. (2016). Improving skin lesion segmentation in dermoscopic images by thin artefacts removal methods. 1–6. 9 indexed citations
17.
Majtner, Tomáš, et al.. (2016). Texture analysis of 3D fluorescence microscopy images using RSurf 3D features. 1. 1212–1216. 2 indexed citations
18.
19.
Majtner, Tomáš, et al.. (2014). RSURF: The efficient texture-based descriptor for fluorescence microscopy images of HEp-2 cells. 1194–1199. 9 indexed citations
20.
Majtner, Tomáš, et al.. (2013). Efficient k-NN based HEp-2 cells classifier. Pattern Recognition. 47(7). 2409–2418. 35 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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