Christin Schäfer

2.6k total citations · 1 hit paper
15 papers, 1.5k citations indexed

About

Christin Schäfer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Christin Schäfer has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Sociology and Political Science. Recurrent topics in Christin Schäfer's work include Network Security and Intrusion Detection (3 papers), Benford’s Law and Fraud Detection (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Christin Schäfer is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Benford’s Law and Fraud Detection (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Christin Schäfer collaborates with scholars based in Germany, Russia and France. Christin Schäfer's co-authors include Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf, Gabriel Curio, S. Lemm, K. Müller, Pavel Laskov, Igor Kotenko, Benjamin Blankertz and Guido Dornhege and has published in prestigious journals such as The Journal of Infectious Diseases, IEEE Transactions on Biomedical Engineering and BMC Bioinformatics.

In The Last Decade

Christin Schäfer

14 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Large Scale Multiple Kernel Learning

2006 853 citations Sören Sonnenburg, Gunnar Rätsch et al. Journal of Machine Learning Research profile →

Peers

Christin Schäfer

AI

CVPR

CN

SP

MB

Tao Xiong United States

Seungjin Choi South Korea

Thomas Navin Lal Germany

Ralph Linsker United States

S. Ramakrishnan United States

Christos-Savvas Bouganis United Kingdom

Tong Zhang China

Francesco Orabona Italy

Gregory Shakhnarovich United States

Ghulum Bakiri Bahrain

Tao Xiong United States

Christin Schäfer

572 ×0.8

AI

493 ×0.8

CVPR

192 ×0.6

CN

181 ×0.8

SP

134 ×0.8

MB

Citations per year, relative to Christin Schäfer Christin Schäfer (= 1×) peers Tao Xiong

Countries citing papers authored by Christin Schäfer

Since Specialization

Citations

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

Fields of papers citing papers by Christin Schäfer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christin Schäfer

This figure shows the co-authorship network connecting the top 25 collaborators of Christin Schäfer. A scholar is included among the top collaborators of Christin Schäfer 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 Christin Schäfer. Christin Schäfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

1.

Schäfer, Christin, et al.. (2007). Determinants of Fertility - An Application of Machine Learning Techniques. Journal of Contextual Economics – Schmollers Jahrbuch. 127(1). 127–138. 1 indexed citations

2.

Blanchard, Gilles, Christin Schäfer, Yves Rozenholc, & K. Müller. (2007). Optimal dyadic decision trees. Machine Learning. 66(2-3). 209–241. 24 indexed citations

3.

Sonnenburg, Sören, Gunnar Rätsch, Christin Schäfer, & Bernhard Schölkopf. (2006). Large Scale Multiple Kernel Learning. Journal of Machine Learning Research. 7(57). 1531–1565. 853 indexed citations breakdown →

4.

Rätsch, Gunnar, Sören Sonnenburg, & Christin Schäfer. (2006). Learning Interpretable SVMs for Biological Sequence Classification. BMC Bioinformatics. 7(S1). S9–S9. 68 indexed citations

5.

Schäfer, Christin, et al.. (2006). Data Driven Identification of Sources of Errors for Improving Survey Quality. 1 indexed citations

6.

Schäfer, Christin, et al.. (2005). Automatie Identification of Faked and Fraudulent Interviews in the German SOEP. Journal of Contextual Economics – Schmollers Jahrbuch. 125(1). 183–193. 11 indexed citations

7.

Schäfer, Christin, et al.. (2005). Automatic Identification of Faked and Fraudulent Interviews in the German SOEP. RePEc: Research Papers in Economics. 125(1). 183–193. 12 indexed citations

8.

Laskov, Pavel, Konrad Rieck, Christin Schäfer, & K. Müller. (2005). Visualization of anomaly detection using prediction sensitivity. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 30 indexed citations

9.

Sonnenburg, Sören, Gunnar Rätsch, & Christin Schäfer. (2005). A General and Efficient Multiple Kernel Learning Algorithm. Max Planck Institute for Plasma Physics. 18. 1273–1280. 108 indexed citations

10.

Laskov, Pavel, Christin Schäfer, Igor Kotenko, & K. Müller. (2004). Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines. PIK - Praxis der Informationsverarbeitung und Kommunikation. 27(4). 228–236. 55 indexed citations

11.

Lemm, S., Christin Schäfer, & Gabriel Curio. (2004). BCI competition 2003-data set III: probabilistic modeling of sensorimotor /spl mu/ rhythms for classification of imaginary hand movements. IEEE Transactions on Biomedical Engineering. 51(6). 1077–1080. 156 indexed citations

12.

Schäfer, Christin, et al.. (2004). Identification, Characteristics and Impact of Faked and Fraudulent Interviews in Surveys. 2 indexed citations

13.

Kotenko, Igor, Pavel Laskov, & Christin Schäfer. (2004). Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 49 indexed citations

14.

Blankertz, Benjamin, Guido Dornhege, Christin Schäfer, et al.. (2003). Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 11(2). 127–131. 166 indexed citations

15.

Borowy, N.K., Dietmar Schell, Christin Schäfer, & Peter Overath. (1991). Diagnosis of Human African Trypanosomiasis and Visceral Leishmaniasis Based on the Detection of Anti-Parasite-Enzyme Antibodies. The Journal of Infectious Diseases. 164(2). 422–425. 5 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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