Barbara Hammer

9.8k total citations
347 papers, 4.9k citations indexed

About

Barbara Hammer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Barbara Hammer has authored 347 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 221 papers in Artificial Intelligence, 97 papers in Computer Vision and Pattern Recognition and 33 papers in Molecular Biology. Recurrent topics in Barbara Hammer's work include Neural Networks and Applications (112 papers), Face and Expression Recognition (47 papers) and Data Stream Mining Techniques (46 papers). Barbara Hammer is often cited by papers focused on Neural Networks and Applications (112 papers), Face and Expression Recognition (47 papers) and Data Stream Mining Techniques (46 papers). Barbara Hammer collaborates with scholars based in Germany, Netherlands and United Kingdom. Barbara Hammer's co-authors include Thomas Villmann, Michael Biehl, Heiko Wersing, Viktor Losing, Andrej Gisbrecht, Marc Strickert, Petra Schneider, Frank-Michael Schleif, Alexander Schulz and Bassam Mokbel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Sensors.

In The Last Decade

Barbara Hammer

309 papers receiving 4.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Barbara Hammer Germany 35 3.0k 1.5k 493 489 329 347 4.9k
BengioYoshua 9 3.7k 1.2× 1.8k 1.2× 389 0.8× 705 1.4× 401 1.2× 10 6.8k
Pabitra Mitra India 35 2.5k 0.8× 1.6k 1.1× 423 0.9× 520 1.1× 199 0.6× 186 5.4k
Kai‐Wei Chang Taiwan 18 3.4k 1.1× 2.4k 1.6× 981 2.0× 549 1.1× 164 0.5× 55 7.1k
Fuzhen Zhuang China 30 3.3k 1.1× 1.5k 1.0× 222 0.5× 414 0.8× 495 1.5× 116 6.7k
Shitong Wang China 44 3.9k 1.3× 2.4k 1.6× 459 0.9× 580 1.2× 503 1.5× 406 6.9k
Zhiwen Yu China 39 3.2k 1.1× 1.9k 1.3× 540 1.1× 451 0.9× 278 0.8× 217 5.5k
Robi Polikar United States 31 4.0k 1.3× 954 0.6× 483 1.0× 723 1.5× 456 1.4× 144 6.6k
Arthur Gretton Germany 35 3.9k 1.3× 2.1k 1.4× 498 1.0× 678 1.4× 732 2.2× 116 7.5k
Chris Burges United States 19 2.5k 0.8× 1.7k 1.2× 249 0.5× 623 1.3× 248 0.8× 33 5.1k

Countries citing papers authored by Barbara Hammer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Barbara Hammer

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Hammer. A scholar is included among the top collaborators of Barbara Hammer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Barbara Hammer. Barbara Hammer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Cossu, Andrea, et al.. (2025). Don't drift away: Advances and Applications of Streaming and Continual Learning. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 35–44.
4.
Hammer, Barbara, et al.. (2025). Generating synthetic genotypes using diffusion models. Bioinformatics. 41(Supplement_1). i484–i492.
5.
Schulz, Alexander, et al.. (2024). Visualizing and Improving 3D Mesh Segmentation with DeepView. 649–654. 1 indexed citations
6.
Hinder, Fabian, et al.. (2024). Self-Supervised Learning from Incrementally Drifting Data Streams. Zenodo (CERN European Organization for Nuclear Research). 431–436.
7.
Kyriakou, Marios, et al.. (2024). EPyT-Flow: A Toolkit for Generating Water DistributionNetwork Data. The Journal of Open Source Software. 9(103). 7104–7104. 1 indexed citations
8.
Hinder, Fabian, et al.. (2024). One or two things we know about concept drift—a survey on monitoring in evolving environments. Part A: detecting concept drift. Frontiers in Artificial Intelligence. 7. 18 indexed citations
9.
Vamvakeridou-Lyroudia, Lydia, Fabian Hinder, Δημήτριος Γ. Ηλιάδης, et al.. (2024). A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning. SHILAP Revista de lepidopterología. 60–60.
10.
Schulz, Alexander, et al.. (2023). Metric Learning with Self-Adjusting Memory for Explaining Feature Drift. SN Computer Science. 4(4). 1 indexed citations
11.
Schilling, Malte, Barbara Hammer, Frank W. Ohl, Helge Ritter, & Laurenz Wiskott. (2023). Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning. Cognitive Computation. 16(5). 2358–2373. 4 indexed citations
12.
Hinder, Fabian, et al.. (2023). Model-based explanations of concept drift. Neurocomputing. 555. 126640–126640. 19 indexed citations
13.
Hammer, Barbara, et al.. (2022). AutoML technologies for the identification of sparse classification and outlier detection models. Applied Soft Computing. 133. 109942–109942. 6 indexed citations
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Schleif, Frank-Michael, et al.. (2012). Fast approximated relational and kernel clustering. PUB – Publications at Bielefeld University (Bielefeld University). 5 indexed citations
16.
Bunte, Kerstin, Michael Biehl, & Barbara Hammer. (2011). Dimensionality reduction mappings. University of Groningen research database (University of Groningen / Centre for Information Technology). 349–356. 7 indexed citations
17.
Hammer, Barbara, et al.. (2009). Median Variant of Fuzzy c-Means. PUB – Publications at Bielefeld University (Bielefeld University). 1 indexed citations
18.
Schneider, Petra, Michael Biehl, & Barbara Hammer. (2008). Matrix Adaptation in Discriminative Vector Quantization. PUB – Publications at Bielefeld University (Bielefeld University). 1 indexed citations
19.
Hammer, Barbara, et al.. (2008). Thinning Mesh Animations. PUB – Publications at Bielefeld University (Bielefeld University). 149–158. 2 indexed citations
20.
Schleif, Frank-Michael, et al.. (2007). Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra. PUB – Publications at Bielefeld University (Bielefeld University). 2 indexed citations

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.

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