Johannes Feulner

425 total citations
12 papers, 246 citations indexed

About

Johannes Feulner is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Johannes Feulner has authored 12 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Johannes Feulner's work include Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Neural Network Applications (3 papers). Johannes Feulner is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Neural Network Applications (3 papers). Johannes Feulner collaborates with scholars based in Germany and United States. Johannes Feulner's co-authors include Dorin Comaniciu, S. Kevin Zhou, Joachim Hornegger, Alexander Cavallaro, Sascha Seifert, Wolfram Menzel, Hermann Hild, Martin Huber, Adrian Barbu and David Liu and has published in prestigious journals such as Medical Image Analysis, Lecture notes in computer science and Computerized Medical Imaging and Graphics.

In The Last Decade

Johannes Feulner

12 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes Feulner Germany 8 140 108 72 50 48 12 246
Xuedong Yuan China 7 62 0.4× 66 0.6× 38 0.5× 28 0.6× 25 0.5× 14 206
Aaron Loh United States 3 86 0.6× 189 1.8× 227 3.2× 23 0.5× 33 0.7× 3 375
Parisa Gifani Iran 9 65 0.5× 186 1.7× 90 1.3× 25 0.5× 43 0.9× 22 310
N. Barreira Spain 13 135 1.0× 359 3.3× 43 0.6× 41 0.8× 54 1.1× 49 521
Alexandre de Brébisson Canada 3 133 0.9× 80 0.7× 64 0.9× 9 0.2× 33 0.7× 3 235
Zhuoshi Wei United States 7 99 0.7× 57 0.5× 40 0.6× 126 2.5× 26 0.5× 18 224
Jiřı́ Hladůvka Austria 8 120 0.9× 63 0.6× 30 0.4× 4 0.1× 46 1.0× 22 223
Christine Cavaro‐Ménard France 11 69 0.5× 79 0.7× 16 0.2× 14 0.3× 34 0.7× 28 286
Pranjal Sahu United States 8 103 0.7× 96 0.9× 63 0.9× 48 1.0× 24 0.5× 17 276
Artur Przelaskowski Poland 8 123 0.9× 60 0.6× 81 1.1× 30 0.6× 31 0.6× 46 260

Countries citing papers authored by Johannes Feulner

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Feulner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Feulner

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

All Works

12 of 12 papers shown
1.
Feulner, Johannes, S. Kevin Zhou, Matthias Hammon, Joachim Hornegger, & Dorin Comaniciu. (2012). Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior. Medical Image Analysis. 17(2). 254–270. 44 indexed citations
2.
Feulner, Johannes, S. Kevin Zhou, Elli Angelopoulou, et al.. (2010). Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region. Computerized Medical Imaging and Graphics. 35(3). 227–236. 9 indexed citations
3.
Feulner, Johannes, S. Kevin Zhou, Martin Huber, et al.. (2010). Lymph node detection in 3-D chest CT using a spatial prior probability. 2926–2932. 13 indexed citations
4.
Feulner, Johannes, S. Kevin Zhou, Martin Huber, et al.. (2010). Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map. Lecture notes in computer science. 13(Pt 1). 95–102. 4 indexed citations
5.
Feulner, Johannes, S. Kevin Zhou, Alexander Cavallaro, et al.. (2009). Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model. Lecture notes in computer science. 12(Pt 1). 255–262. 15 indexed citations
6.
Seifert, Sascha, Adrian Barbu, S. Kevin Zhou, et al.. (2009). Hierarchical parsing and semantic navigation of full body CT data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7259. 725902–725902. 91 indexed citations
7.
Feulner, Johannes, et al.. (2009). Estimating the body portion of CT volumes by matching histograms of visual words. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7259. 72591V–72591V. 10 indexed citations
8.
Feulner, Johannes, et al.. (2009). Robust real-time 3D modeling of static scenes using solely a Time-of-Flight sensor. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 7. 74–81. 5 indexed citations
9.
Braun, Heinrich, Johannes Feulner, & Rainer Malaka. (1996). Praktikum Neuronale Netze. Springer-Lehrbuch. 1 indexed citations
10.
Feulner, Johannes, et al.. (1994). Melonet: Neural Networks that Learn Harmony-Based Melodic Variations. The Journal of the Abraham Lincoln Association. 1994. 6 indexed citations
11.
Feulner, Johannes. (1993). Neural Networks that Learn and Reproduce Various Styles of Harmonization. The Journal of the Abraham Lincoln Association. 1993. 7 indexed citations
12.
Hild, Hermann, Johannes Feulner, & Wolfram Menzel. (1991). HARMONET: A Neural Net for Harmonizing Chorales in the Style of J. S. Bach. Neural Information Processing Systems. 4. 267–274. 41 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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