Andreas Eitel
Impact in
- Environmental Chemistry top 10%
- Environmental Chemistry and Analysis
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
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- Advanced Neural Network Applications 5
- Human Pose and Action Recognition 3
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Wolfram Burgard (9 shared papers)Klaus Kümmerer (3 shared papers)Jost Tobias Springenberg (1 shared paper)Luciano Spinello (1 shared paper)Martin Riedmiller (1 shared paper)Peter J.B. Hubner (1 shared paper)U. Braun (1 shared paper)Franz Dieter Daschner (1 shared paper)
- Journals
- Journal of Enterprise Information Management (1 paper)Journal of Chromatography A (1 paper)Robotics and Autonomous Systems (1 paper)Lecture notes in computer science (1 paper)Springer proceedings in advanced robotics (2 papers)
In The Last Decade
Andreas Eitel
19 papers receiving 377 citations
Peers
Comparison fields: 5 of 88
- Environmental Chemistry 112
- Pollution 72
- Analytical Chemistry 53
- Health, Toxicology and Mutagenesis 66
- Computer Vision and Pattern Recognition 108
Countries citing papers authored by Andreas Eitel
This map shows the geographic impact of Andreas Eitel'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 Andreas Eitel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Eitel more than expected).
Fields of papers citing papers by Andreas Eitel
This network shows the impact of papers produced by Andreas Eitel. 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 Andreas Eitel. The network helps show where Andreas Eitel may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Eitel, 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 | 1997 | 132 | |
| 2 | 2015 | 91 | |
| 3 | 2019 | 43 | |
| 4 | 2019 | 24 | |
| 5 | 2019 | 17 | |
| 6 | Handling Cytostatic Drugs: A Practical Guide | 1999 | 15 |
| 7 | 2015 | 14 | |
| 8 | 2020 | 11 | |
| 9 | Handling Cytostatic Drugs | 1999 | 10 |
| 10 | 2020 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 5 | |
| 13 | 2017 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2020 | 1 |
About Andreas Eitel
Andreas Eitel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Occupational Therapy, Control and Systems Engineering and Information Systems, having authored 20 papers that have together received 392 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Robot Manipulation and Learning (4 papers), Privacy, Security, and Data Protection (3 papers), Human Pose and Action Recognition (3 papers), Blockchain Technology Applications and Security (2 papers), Safe Handling of Antineoplastic Drugs (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Environmental Chemistry (112 citations), Pollution (72 citations), Analytical Chemistry (53 citations), Health, Toxicology and Mutagenesis (66 citations) and Computer Vision and Pattern Recognition (108 citations). Andreas Eitel has collaborated with scholars based in Germany, Italy and Austria. Frequent co-authors include Wolfram Burgard, Klaus Kümmerer, Jost Tobias Springenberg, Luciano Spinello, Martin Riedmiller, Peter J.B. Hubner, U. Braun, Franz Dieter Daschner, Franz Ferdinand Reinthaler and J. Verhoef. Their work appears in journals such as Journal of Enterprise Information Management, Journal of Chromatography A, Robotics and Autonomous Systems, Lecture notes in computer science and Springer proceedings in advanced robotics.
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.