Christian Igel
Impact in
-
- 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
- Jan SalmenMarc SchlipsingJohannes StallkampMichael HüskenNikolaus HansenAsja FischerFrauke FriedrichsStefan Roth
- Journals
- Neurocomputing (5 papers)Alzheimer s & Dementia (5 papers)Neural Computation (3 papers)IEEE Transactions on Evolutionary Computation (3 papers)Machine Learning (2 papers)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Christian Igel
155 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 3.6k
- Media Technology 736
- Computational Theory and Mathematics 784
- Signal Processing 519
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 54 | |
| 4 | A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model | 2020 | 1 |
| 5 | 2019 | 68 | |
| 6 | 2019 | 10 | |
| 7 | Robust Active Label Correction. | 2018 | 11 |
| 8 | Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow | 2018 | 3 |
| 9 | Computational Complexity of Linear Large Margin Classification With Ramp Loss | 2015 | 2 |
| 10 | Speedy greedy feature selection: Better redshift estimation via massive parallelism. | 2014 | 3 |
| 11 | Kernel-based machine learning techniques for infrasound signal classification | 2014 | 1 |
| 12 | Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs | 2014 | 39 |
| 13 | Training RBMs Based on the Signs of the CD Approximation of the Log-likelihood Derivatives | 2011 | 4 |
| 14 | Non-linearly increasing resampling in racing algorithms | 2011 | 0 |
| 15 | Umstellung auf eine monistische Finanzierung von Krankenhäusern. Expertise im Auftrag des Bundesministeriums für Gesundheit | 2008 | 3 |
| 16 | Approximation of Gaussian process regression models after training. | 2008 | 2 |
| 17 | Similarities and differences between policy gradient methods and evolution strategies | 2008 | 15 |
| 18 | Maximum-Gain Working Set Selection for SVMs | 2006 | 39 |
| 19 | Evolutionary tuning of multiple SVM parameters. | 2004 | 15 |
| 20 | Parameter optimization for visual obstacle detection using a derandomized evolution strategy | 2001 | 5 |
About Christian Igel
Christian Igel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 162 papers that have together received 7.7k 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 (736 citations), Computational Theory and Mathematics (784 citations) and Signal Processing (519 citations). Christian Igel has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Jan Salmen, Marc Schlipsing, 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 Machine Learning.
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.