Barbara Hammer
Impact in
- Artificial Intelligence top 0.2%
- Neural Networks and Applications
- Data Stream Mining Techniques
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Machine Learning and Algorithms
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
Papers in
-
- Neural Networks and Applications 160
- Data Stream Mining Techniques 59
- Machine Learning and Data Classification 53
- Anomaly Detection Techniques and Applications 45
- Machine Learning and Algorithms 36
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- Face and Expression Recognition 72
- Image Retrieval and Classification Techniques 38
- Co-authors
- Thomas Villmann (86 shared papers)Michael Biehl (61 shared papers)Marc Strickert (25 shared papers)Heiko Wersing (19 shared papers)Andrej Gisbrecht (33 shared papers)Viktor Losing (10 shared papers)Petra Schneider (18 shared papers)Frank-Michael Schleif (69 shared papers)
- Journals
- Neurocomputing (43 papers)Neural Networks (11 papers)Lecture notes in computer science (94 papers)Neural Computation (8 papers)Neural Processing Letters (5 papers)
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Barbara Hammer
433 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 196
- Artificial Intelligence 4.3k
- Computer Vision and Pattern Recognition 2.2k
- Signal Processing 737
- Media Technology 387
- Health Informatics 33
Countries citing papers authored by Barbara Hammer
This map shows the geographic impact of Barbara Hammer'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 Barbara Hammer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Hammer more than expected).
Fields of papers citing papers by Barbara Hammer
This network shows the impact of papers produced by Barbara Hammer. 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 Barbara Hammer. The network helps show where Barbara Hammer may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Hammer, 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 477 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 339 | |
| 2 | 2009 | 268 | |
| 3 | 2017 | 268 | |
| 4 | 2014 | 204 | |
| 5 | 2016 | 163 | |
| 6 | 2003 | 139 | |
| 7 | 2005 | 131 | |
| 8 | 2006 | 119 | |
| 9 | 2018 | 106 | |
| 10 | 2016 | 103 | |
| 11 | 2004 | 103 | |
| 12 | 2005 | 92 | |
| 13 | 2003 | 88 | |
| 14 | 2011 | 81 | |
| 15 | Dynamics and Generalization Ability of LVQ Algorithms | 2007 | 74 |
| 16 | 2004 | 74 | |
| 17 | 2011 | 73 | |
| 18 | 2009 | 73 | |
| 19 | 2010 | 72 | |
| 20 | 2007 | 71 |
About Barbara Hammer
Barbara Hammer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing and Media Technology, having authored 477 papers that have together received 6.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (160 papers), Face and Expression Recognition (72 papers), Data Stream Mining Techniques (59 papers), Machine Learning and Data Classification (53 papers), Anomaly Detection Techniques and Applications (45 papers), Image Retrieval and Classification Techniques (38 papers), Machine Learning and Algorithms (36 papers) and Time Series Analysis and Forecasting (27 papers). The work is most often cited by research in Artificial Intelligence (4.3k citations), Computer Vision and Pattern Recognition (2.2k citations), Signal Processing (737 citations), Media Technology (387 citations) and Health Informatics (33 citations). Barbara Hammer has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Thomas Villmann, Michael Biehl, Marc Strickert, Heiko Wersing, Andrej Gisbrecht, Viktor Losing, Petra Schneider, Frank-Michael Schleif, Alexander Hasenfuß and Bassam Mokbel. Their work appears in journals such as Neurocomputing, Neural Networks, Lecture notes in computer science, Neural Computation and Neural Processing Letters.
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.