Georg Wimmer

743 total citations
35 papers, 454 citations indexed

About

Georg Wimmer is a scholar working on Computer Vision and Pattern Recognition, Oncology and Signal Processing. According to data from OpenAlex, Georg Wimmer has authored 35 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Oncology and 7 papers in Signal Processing. Recurrent topics in Georg Wimmer's work include Colorectal Cancer Screening and Detection (11 papers), Image Retrieval and Classification Techniques (8 papers) and Biometric Identification and Security (7 papers). Georg Wimmer is often cited by papers focused on Colorectal Cancer Screening and Detection (11 papers), Image Retrieval and Classification Techniques (8 papers) and Biometric Identification and Security (7 papers). Georg Wimmer collaborates with scholars based in Austria, Germany and Japan. Georg Wimmer's co-authors include Andreas Uhl, Michael Häfner, Andreas Vécsei, Shigeto Yoshida, Toru Tamaki, Shinji Tanaka, Jens J. W. Tischendorf, Sebastian Hegenbart, Bernhard Prommegger and Harald Kögler and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and World Journal of Gastroenterology.

In The Last Decade

Georg Wimmer

31 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Wimmer Austria 11 222 157 142 132 104 35 454
Pia H. Smedsrud Norway 5 228 1.0× 181 1.2× 223 1.6× 200 1.5× 59 0.6× 8 500
Hayato Itoh Japan 10 346 1.6× 92 0.6× 210 1.5× 109 0.8× 61 0.6× 38 514
Duc Tien Dang Nguyen Norway 3 139 0.6× 83 0.5× 114 0.8× 111 0.8× 51 0.5× 6 282
Hanna Borgli Norway 2 139 0.6× 71 0.5× 113 0.8× 104 0.8× 51 0.5× 3 263
Michael Gadermayr Austria 11 55 0.2× 159 1.0× 149 1.0× 234 1.8× 42 0.4× 37 461
Michael D. Vasilakakis Greece 8 94 0.4× 48 0.3× 51 0.4× 83 0.6× 135 1.3× 17 271
Ruikai Zhang China 10 281 1.3× 153 1.0× 253 1.8× 249 1.9× 65 0.6× 16 585
Luis A. de Souza Brazil 13 161 0.7× 105 0.7× 175 1.2× 170 1.3× 27 0.3× 20 632
Hussam Ali Pakistan 7 71 0.3× 123 0.8× 126 0.9× 46 0.3× 48 0.5× 8 415
Marina Gorunescu Romania 10 160 0.7× 28 0.2× 118 0.8× 130 1.0× 10 0.1× 19 406

Countries citing papers authored by Georg Wimmer

Since Specialization
Citations

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

Fields of papers citing papers by Georg Wimmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Wimmer

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Wimmer. A scholar is included among the top collaborators of Georg Wimmer 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 Georg Wimmer. Georg Wimmer 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.
Wimmer, Georg, Frédéric Mothe, Alexandre Piboule, et al.. (2024). A new approach to biometric wood log traceability combining traditional methods and deep learning. SHILAP Revista de lepidopterología. 10. 100686–100686.
2.
3.
Wimmer, Georg, et al.. (2024). Log cross section quality metrics: Assessing the usability of roundwood image data for roundwood tracking. Computers and Electronics in Agriculture. 221. 108945–108945.
4.
Wimmer, Georg, et al.. (2022). Robustness of texture-based roundwood tracking. European Journal of Wood and Wood Products. 81(3). 669–683. 2 indexed citations
6.
Wimmer, Georg, et al.. (2022). Attack Detection for Finger and Palm Vein Biometrics by Fusion of Multiple Recognition Algorithms. IEEE Transactions on Biometrics Behavior and Identity Science. 4(4). 544–555. 8 indexed citations
8.
Wimmer, Georg, Michael Häfner, & Andreas Uhl. (2020). Improving CNN training on endoscopic image data by extracting additionally training data from endoscopic videos. Computerized Medical Imaging and Graphics. 86. 101798–101798. 3 indexed citations
9.
Wimmer, Georg, Michael Gadermayr, Gernot W. Wolkersdörfer, et al.. (2019). Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging. World Journal of Gastroenterology. 25(10). 1197–1209. 2 indexed citations
10.
Wimmer, Georg, Michael Gadermayr, Roland Kwitt, et al.. (2018). Training of polyp staging systems using mixed imaging modalities. Computers in Biology and Medicine. 102. 251–259. 1 indexed citations
11.
Gadermayr, Michael, Georg Wimmer, Harald Kögler, et al.. (2018). Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis. Computers in Biology and Medicine. 102. 221–226. 13 indexed citations
12.
Häfner, Michael, Georg Wimmer, Toru Tamaki, et al.. (2017). Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks. 1044–1048. 20 indexed citations
13.
Wimmer, Georg, Andreas Vécsei, & Andreas Uhl. (2016). CNN transfer learning for the automated diagnosis of celiac disease. 1–6. 32 indexed citations
14.
Wimmer, Georg, Toru Tamaki, Jens J. W. Tischendorf, et al.. (2016). Directional wavelet based features for colonic polyp classification. Medical Image Analysis. 31. 16–36. 66 indexed citations
15.
Häfner, Michael, Toru Tamaki, Shinji Tanaka, et al.. (2015). Local fractal dimension based approaches for colonic polyp classification. Medical Image Analysis. 26(1). 92–107. 41 indexed citations
16.
Uhl, Andreas & Georg Wimmer. (2014). A systematic evaluation of the scale invariance of texture recognition methods. Pattern Analysis and Applications. 18(4). 945–969. 2 indexed citations
17.
Uhl, Andreas, Georg Wimmer, & Michael Häfner. (2014). Shape and size adapted local fractal dimension for the classification of polyps in HD colonoscopy. 2299–2303. 11 indexed citations
18.
Hegenbart, Sebastian, Andreas Uhl, Andreas Vécsei, & Georg Wimmer. (2013). Scale invariant texture descriptors for classifying celiac disease. Medical Image Analysis. 17(4). 458–474. 34 indexed citations
19.
Uhl, Andreas, Andreas Vécsei, & Georg Wimmer. (2011). Fractal analysis for the viewpoint invariant classification of celiac disease. 727–732. 8 indexed citations
20.
Häfner, Michael, Andreas Uhl, Andreas Vécsei, Georg Wimmer, & Friedrich Wrba. (2010). Complex Wavelet Transform variants and Discrete Cosine Transform for scale invariance in magnification-endoscopy image classification. 1–5. 10 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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