Christian Igel
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 0.2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Adversarial Robustness in Machine Learning
Papers in
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- Evolutionary Algorithms and Applications 32
- Metaheuristic Optimization Algorithms Research 31
- Neural Networks and Applications 21
- Gaussian Processes and Bayesian Inference 9
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- Generative Adversarial Networks and Image Synthesis 10
- Face and Expression Recognition 9
- Co-authors
- Marc Schlipsing (8 shared papers)Jan Salmen (9 shared papers)Johannes Stallkamp (5 shared papers)Michael Hüsken (4 shared papers)Nikolaus Hansen (4 shared papers)Asja Fischer (7 shared papers)Frauke Friedrichs (2 shared papers)Stefan Roth (1 shared paper)
- Journals
- Neurocomputing (5 papers)Alzheimer s & Dementia (5 papers)Neural Computation (3 papers)IEEE Transactions on Evolutionary Computation (3 papers)IEEE Intelligent Systems (2 papers)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Christian Igel
157 papers receiving 7.5k citations
Christian Igel's Hit Papers
Peers
Comparison fields: 5 of 200
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 3.6k
- Media Technology 740
- Computational Theory and Mathematics 791
- Signal Processing 525
Countries citing papers authored by Christian Igel
This map shows the geographic impact of Christian Igel'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 Christian Igel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Igel more than expected).
Fields of papers citing papers by Christian Igel
This network shows the impact of papers produced by Christian Igel. 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 Christian Igel. The network helps show where Christian Igel may publish in the future.
Co-authors
The 25 scholars most cited alongside Christian Igel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition Hit paper breakdown → | 2012 | 905 |
| 2 | The German Traffic Sign Recognition Benchmark: A multi-class classification competition Hit paper breakdown → | 2011 | 666 |
| 3 | Detection of traffic signs in real-world images: The German traffic sign detection benchmark Hit paper breakdown → | 2013 | 608 |
| 4 | Covariance Matrix Adaptation for Multi-objective Optimization Hit paper breakdown → | 2007 | 533 |
| 5 | Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network Hit paper breakdown → | 2013 | 395 |
| 6 | 2005 | 375 | |
| 7 | Training restricted Boltzmann machines: An introduction Hit paper breakdown → | 2013 | 341 |
| 8 | Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring Hit paper breakdown → | 2016 | 320 |
| 9 | 2003 | 307 | |
| 10 | Improving the Rprop Learning Algorithm | 2000 | 232 |
| 11 | Self-Supervised Speech Representation Learning: A Review Hit paper breakdown → | 2022 | 214 |
| 12 | U-Sleep: resilient high-frequency sleep staging Hit paper breakdown → | 2021 | 203 |
| 13 | 2015 | 159 | |
| 14 | 2016 | 125 | |
| 15 | 2006 | 112 | |
| 16 | 2003 | 94 | |
| 17 | 2014 | 89 | |
| 18 | 2008 | 84 | |
| 19 | 2003 | 83 | |
| 20 | 2004 | 78 |
About Christian Igel
Christian Igel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Signal Processing and Computational Theory and Mathematics, having authored 165 papers that have together received 7.9k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (32 papers), Metaheuristic Optimization Algorithms Research (31 papers), Neural Networks and Applications (21 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Generative Adversarial Networks and Image Synthesis (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Face and Expression Recognition (9 papers) and Gaussian Processes and Bayesian Inference (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Artificial Intelligence (3.6k citations), Media Technology (740 citations), Computational Theory and Mathematics (791 citations) and Signal Processing (525 citations). Christian Igel has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Marc Schlipsing, Jan Salmen, Johannes Stallkamp, Michael Hüsken, Nikolaus Hansen, Asja Fischer, Frauke Friedrichs, Stefan Roth, Mads Nielsen and Sebastian Houben. Their work appears in journals such as Neurocomputing, Alzheimer s & Dementia, Neural Computation, IEEE Transactions on Evolutionary Computation and IEEE Intelligent Systems.
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.