Alexander Binder
Impact in
- Artificial Intelligence top 0.1%
- Explainable Artificial Intelligence (XAI)
- Anomaly Detection Techniques and Applications
- AI in cancer detection
- Adversarial Robustness in Machine Learning
- Domain Adaptation and Few-Shot Learning
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- Advanced Neural Network Applications
Papers in
-
- Explainable Artificial Intelligence (XAI) 16
- AI in cancer detection 4
- Anomaly Detection Techniques and Applications 2
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- Image Retrieval and Classification Techniques 5
- Advanced Image and Video Retrieval Techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Wojciech Samek (25 shared papers)Sebastian Lapuschkin (18 shared papers)Klaus- Robert Müller (22 shared papers)Grégoire Montavon (9 shared papers)Frederick Klauschen (3 shared papers)Marius Kloft (7 shared papers)Nico Görnitz (4 shared papers)Shoaib Ahmed Siddiqui (1 shared paper)
- Journals
- PLoS ONE (3 papers)Pattern Recognition (2 papers)Information Fusion (2 papers)Lecture notes in computer science (12 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- GermanySingaporeSouth Korea
In The Last Decade
Alexander Binder
64 papers receiving 8.1k citations
Alexander Binder's Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 4.2k
- Computer Vision and Pattern Recognition 569
- Health Informatics 29
- Signal Processing 78
- Cognitive Neuroscience 173
Countries citing papers authored by Alexander Binder
This map shows the geographic impact of Alexander Binder'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 Alexander Binder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Binder more than expected).
Fields of papers citing papers by Alexander Binder
This network shows the impact of papers produced by Alexander Binder. 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 Alexander Binder. The network helps show where Alexander Binder may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Binder, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation Hit paper breakdown → | 2015 | 3238 |
| 2 | Explaining nonlinear classification decisions with deep Taylor decomposition Hit paper breakdown → | 2016 | 1001 |
| 3 | Evaluating the Visualization of What a Deep Neural Network Has Learned Hit paper breakdown → | 2016 | 809 |
| 4 | Deep One-Class Classification Hit paper breakdown → | 2018 | 572 |
| 5 | Layer-Wise Relevance Propagation: An Overview Hit paper breakdown → | 2019 | 548 |
| 6 | 2016 | 285 | |
| 7 | The SHOGUN Machine Learning Toolbox | 2010 | 188 |
| 8 | 2021 | 183 | |
| 9 | 2016 | 140 | |
| 10 | 2018 | 134 | |
| 11 | 2021 | 121 | |
| 12 | 2016 | 113 | |
| 13 | 2020 | 109 | |
| 14 | 2022 | 108 | |
| 15 | 2018 | 86 | |
| 16 | 2017 | 76 | |
| 17 | 2021 | 62 | |
| 18 | 2019 | 61 | |
| 19 | The LRP toolbox for artificial neural networks | 2016 | 42 |
| 20 | 2011 | 34 |
About Alexander Binder
Alexander Binder is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Cognitive Neuroscience and Biophysics, having authored 64 papers that have together received 8.3k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (16 papers), Image Retrieval and Classification Techniques (5 papers), User Authentication and Security Systems (4 papers), AI in cancer detection (4 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Computer Vision and Pattern Recognition (569 citations), Health Informatics (29 citations), Signal Processing (78 citations) and Cognitive Neuroscience (173 citations). Alexander Binder has collaborated with scholars based in Germany, Singapore and South Korea. Frequent co-authors include Wojciech Samek, Sebastian Lapuschkin, Klaus- Robert Müller, Grégoire Montavon, Frederick Klauschen, Marius Kloft, Nico Görnitz, Shoaib Ahmed Siddiqui, Lukas Ruff and Robert A. Vandermeulen. Their work appears in journals such as PLoS ONE, Pattern Recognition, Information Fusion, Lecture notes in computer science and IEEE Transactions on Knowledge and Data Engineering.
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.