Christoph Raab

10.1k total citations
23 papers, 210 citations indexed

About

Christoph Raab is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Christoph Raab has authored 23 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Christoph Raab's work include Data Stream Mining Techniques (5 papers), Face and Expression Recognition (5 papers) and Anomaly Detection Techniques and Applications (3 papers). Christoph Raab is often cited by papers focused on Data Stream Mining Techniques (5 papers), Face and Expression Recognition (5 papers) and Anomaly Detection Techniques and Applications (3 papers). Christoph Raab collaborates with scholars based in Germany, Netherlands and United Kingdom. Christoph Raab's co-authors include Frank-Michael Schleif, F. Schmidt‐Kaler, R. Blatt, Christoph Becher, Pavel Bushev, J. Eschner, Peter Tiňo, Michael Biehl, Christian Nölleke and Stephan Falke and has published in prestigious journals such as Physical Review Letters, Neurocomputing and Pattern Recognition Letters.

In The Last Decade

Christoph Raab

21 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Raab Germany 7 141 53 36 32 16 23 210
Andrea Ceschini Italy 7 160 1.1× 36 0.7× 15 0.4× 38 1.2× 6 0.4× 19 224
Florian Neukart Netherlands 6 164 1.2× 32 0.6× 22 0.6× 16 0.5× 5 0.3× 30 237
Nana Rachmana Syambas Indonesia 11 67 0.5× 40 0.8× 285 7.9× 62 1.9× 16 1.0× 79 423
Tianqing Wang China 11 77 0.5× 44 0.8× 82 2.3× 93 2.9× 7 0.4× 23 270
Knut Magne Risvik Norway 5 72 0.5× 46 0.9× 62 1.7× 96 3.0× 11 0.7× 6 257
Shengyu Zhang China 7 65 0.5× 14 0.3× 64 1.8× 50 1.6× 3 0.2× 26 179
Philippe Tillet United States 5 55 0.4× 14 0.3× 53 1.5× 21 0.7× 3 0.2× 5 190

Countries citing papers authored by Christoph Raab

Since Specialization
Citations

This map shows the geographic impact of Christoph Raab'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 Christoph Raab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Raab more than expected).

Fields of papers citing papers by Christoph Raab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christoph Raab. 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 Christoph Raab. The network helps show where Christoph Raab may publish in the future.

Co-authorship network of co-authors of Christoph Raab

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Raab. A scholar is included among the top collaborators of Christoph Raab 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 Christoph Raab. Christoph Raab 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
1.
Raab, Christoph, et al.. (2024). Crossing Domain Borders with Federated Few-Shot Adaptation. University of Groningen research database (University of Groningen / Centre for Information Technology). 511–521.
2.
Raab, Christoph, et al.. (2023). Static and adaptive subspace information fusion for indefinite heterogeneous proximity data. Neurocomputing. 555. 126635–126635. 3 indexed citations
3.
Raab, Christoph, et al.. (2022). Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. 103–108. 1 indexed citations
4.
Raab, Christoph, et al.. (2022). Domain adversarial tangent subspace alignment for explainable domain adaptation. Neurocomputing. 506. 418–429. 9 indexed citations
5.
Raab, Christoph, et al.. (2022). PROVAL: A framework for comparison of protein sequence embeddings. University of Groningen research database (University of Groningen / Centre for Information Technology). 3. 100044–100044. 6 indexed citations
6.
Guo, Shuxia, Christoph Raab, P. Leisching, et al.. (2022). Comparison of conventional and shifted excitation Raman difference spectroscopy for bacterial identification. Journal of Raman Spectroscopy. 53(7). 1285–1292. 7 indexed citations
7.
Raab, Christoph, et al.. (2021). Federated Learning - Methods, Applications and beyond. arXiv (Cornell University). 1–10. 2 indexed citations
8.
Raab, Christoph, et al.. (2021). Dimensionality reduction in the context of dynamic social media data streams. Evolving Systems. 13(3). 387–401. 6 indexed citations
9.
Raab, Christoph, et al.. (2020). Structure Preserving Encoding of Non-euclidean Similarity Data. University of Groningen research database (University of Groningen / Centre for Information Technology). 43–51. 2 indexed citations
10.
Raab, Christoph, et al.. (2020). Reactive Soft Prototype Computing for Concept Drift Streams. Neurocomputing. 416. 340–351. 82 indexed citations
11.
12.
Raab, Christoph, et al.. (2020). Data-Driven Supervised Learning for Life Science Data. Frontiers in Applied Mathematics and Statistics. 6. 7 indexed citations
13.
Raab, Christoph, et al.. (2019). Reactive Soft Prototype Computing for frequent reoccurring Concept Drift.. The European Symposium on Artificial Neural Networks. 6 indexed citations
14.
Raab, Christoph & Frank-Michael Schleif. (2019). Transfer learning extensions for the probabilistic classification vector machine. Neurocomputing. 397. 320–330. 5 indexed citations
15.
Nölleke, Christian, et al.. (2018). Absolute frequency atlas from 915 nm to 985 nm based on laser absorption spectroscopy of iodine. Journal of Molecular Spectroscopy. 346. 19–22. 6 indexed citations
16.
Raab, Christoph & Frank-Michael Schleif. (2018). Transfer learning for the probabilistic classification vector machine. 187–200. 2 indexed citations
17.
Meagher, K. & Christoph Raab. (2017). Search for a cumulative neutrino signal from blazar flares using IceCube data. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 957–957. 1 indexed citations
18.
Raab, Christoph, et al.. (2017). Years Tunable Semiconductor Laser – Past, Present and Future. Conference on Lasers and Electro-Optics. 1. AM3A.2–AM3A.2. 1 indexed citations
19.
Rohde, Felix, Erik Benkler, Thomas Puppe, et al.. (2016). 1THz synchronous tuning of two optical synthesizers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9900. 99001E–99001E. 1 indexed citations
20.
Bushev, Pavel, J. Eschner, Christoph Raab, et al.. (2004). Forces between a Single Atom and Its Distant Mirror Image. Physical Review Letters. 92(22). 223602–223602. 48 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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