Ulf Brefeld

2.4k total citations
64 papers, 1.4k citations indexed

About

Ulf Brefeld is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Ulf Brefeld has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 13 papers in Economics and Econometrics. Recurrent topics in Ulf Brefeld's work include Anomaly Detection Techniques and Applications (13 papers), Sports Analytics and Performance (13 papers) and Time Series Analysis and Forecasting (8 papers). Ulf Brefeld is often cited by papers focused on Anomaly Detection Techniques and Applications (13 papers), Sports Analytics and Performance (13 papers) and Time Series Analysis and Forecasting (8 papers). Ulf Brefeld collaborates with scholars based in Germany, France and Spain. Ulf Brefeld's co-authors include Tobias Scheffer, Konrad Rieck, Michael Kloft, Marius Kloft, Alexander Zien, Klaus‐Robert Müller, Pavel Laskov, Sören Sonnenburg, Thomas Gärtner and Stefan Wrobel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Ulf Brefeld

60 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ulf Brefeld Germany	20	891	381	232	187	151	64	1.4k
Carlos Cotta Spain	17	978 1.1×	170 0.4×	211 0.9×	54 0.3×	74 0.5×	112	1.8k
Alexander L. Strehl United States	20	1.3k 1.5×	318 0.8×	179 0.8×	176 0.9×	262 1.7×	28	1.8k
Marco Bertini Italy	28	757 0.8×	2.3k 6.0×	162 0.7×	541 2.9×	124 0.8×	170	2.8k
Erin Renshaw United States	7	1.3k 1.5×	775 2.0×	126 0.5×	229 1.2×	823 5.5×	8	2.3k
Junhui Wang United States	18	653 0.7×	167 0.4×	123 0.5×	134 0.7×	421 2.8×	54	1.2k
Ankush Mittal India	19	429 0.5×	510 1.3×	57 0.2×	88 0.5×	127 0.8×	123	1.4k
Jiang Bian China	17	934 1.0×	238 0.6×	102 0.4×	56 0.3×	700 4.6×	78	1.6k
Rie Johnson United States	10	1.8k 2.0×	301 0.8×	168 0.7×	113 0.6×	262 1.7×	12	2.3k
Miloš Radovanović Serbia	17	729 0.8×	306 0.8×	123 0.5×	284 1.5×	152 1.0×	60	1.2k
Julio López Chile	17	708 0.8×	351 0.9×	60 0.3×	67 0.4×	101 0.7×	54	1.2k

Countries citing papers authored by Ulf Brefeld

Since Specialization

Citations

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

Fields of papers citing papers by Ulf Brefeld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulf Brefeld

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

All Works

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20 of 20 papers shown

1.

Brefeld, Ulf, et al.. (2025). Interactive sequential generative models for team sports. Machine Learning. 114(2).

2.

Brefeld, Ulf, et al.. (2024). Machine Learning and Data Mining for Sports Analytics. Communications in computer and information science.

3.

Brefeld, Ulf, et al.. (2023). Machine Learning and Data Mining for Sports Analytics. Communications in computer and information science. 1 indexed citations

4.

Fernandes, Eraldo Rezende, et al.. (2023). Data practices in apps from Brazil: What do privacy policies inform us about?. SHILAP Revista de lepidopterología. 14(1). 1–8. 5 indexed citations

5.

Wilms, Christian, et al.. (2023). Hands in Focus: Sign Language Recognition Via Top-Down Attention. Multilingual Matters (Channel View Publications). 2555–2559. 2 indexed citations

6.

Ekstrøm, Claus Thorn, et al.. (2021). Evaluating one-shot tournament predictions. Multilingual Matters (Channel View Publications). 4 indexed citations

7.

Fadel, Samuel G., et al.. (2021). Contextual movement models based on normalizing flows. AStA Advances in Statistical Analysis. 107(1-2). 51–72. 3 indexed citations

8.

Brefeld, Ulf, et al.. (2021). Rating Player Actions in Soccer. Frontiers in Sports and Active Living. 3. 682986–682986. 2 indexed citations

9.

Brefeld, Ulf, et al.. (2021). Space and Control in Soccer. Frontiers in Sports and Active Living. 3. 676179–676179. 7 indexed citations

10.

Schmidt, Torben, et al.. (2019). Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring. International Journal of Artificial Intelligence in Education. 29(3). 342–367. 32 indexed citations

11.

Brefeld, Ulf, et al.. (2019). Learning to Rate Player Positioning in Soccer. Big Data. 7(1). 71–82. 30 indexed citations

12.

Jain, Shailee, et al.. (2018). Mining User Trajectories in Electronic Text Books.. Educational Data Mining. 1 indexed citations

13.

Binder, Alexander, Shinichi Nakajima, Marius Kloft, et al.. (2012). Insights from Classifying Visual Concepts with Multiple Kernel Learning. PLoS ONE. 7(8). e38897–e38897. 5 indexed citations

14.

Brefeld, Ulf, Lise Getoor, & Sofus A. Macskassy. (2010). Proceedings of the Eighth Workshop on Mining and Learning with Graphs. Knowledge Discovery and Data Mining. 4 indexed citations

15.

Görnitz, Nico, Marius Kloft, Konrad Rieck, & Ulf Brefeld. (2009). Active learning for network intrusion detection. 47–54. 49 indexed citations

16.

Brefeld, Ulf, et al.. (2007). Support vector machines for collective inference.

17.

Brefeld, Ulf & Tobias Scheffer. (2005). AUC Maximizing Support Vector Learning. 42 indexed citations

18.

Brefeld, Ulf, et al.. (2005). Multi-View Hidden Markov Perceptrons.. LWA. 134–138. 11 indexed citations

19.

Hakenberg, Jörg, Steffen Bickel, Conrad Plake, et al.. (2005). Systematic feature evaluation for gene name recognition. BMC Bioinformatics. 6(S1). S9–S9. 33 indexed citations

20.

Bickel, Steffen, Ulf Brefeld, Lukas C. Faulstich, et al.. (2004). A Support Vector Machine classifier for gene name recognition. 1 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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