Jonas Wulff

2.6k total citations
6 papers, 255 citations indexed

About

Jonas Wulff is a scholar working on Computer Vision and Pattern Recognition, Oncology and Infectious Diseases. According to data from OpenAlex, Jonas Wulff has authored 6 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 1 paper in Oncology and 0 papers in Infectious Diseases. Recurrent topics in Jonas Wulff's work include Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Jonas Wulff is often cited by papers focused on Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Jonas Wulff collaborates with scholars based in Germany, United States and Switzerland. Jonas Wulff's co-authors include Michael J. Black, Hanspeter Pfister, Deqing Sun, Erik B. Sudderth, Andreas Geiger, Joel Janai, Fatma Güney, Lucy Chai, Phillip Isola and Til Aach and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Jonas Wulff

6 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonas Wulff Germany	5	214	35	28	25	24	6	255
Sergi Caelles Switzerland	2	208 1.0×	24 0.7×	8 0.3×	33 1.3×	21 0.9×	2	295
Nicolas Normand France	10	164 0.8×	18 0.5×	16 0.6×	13 0.5×	96 4.0×	53	303
Taylor L. Bobrow United States	4	94 0.4×	13 0.4×	46 1.6×	52 2.1×	29 1.2×	12	178
Jia-Guu Leu Taiwan	10	263 1.2×	47 1.3×	7 0.3×	29 1.2×	55 2.3×	23	357
Shuwei Shao China	8	204 1.0×	93 2.7×	17 0.6×	58 2.3×	5 0.2×	17	241
Tianhe Wu United States	4	191 0.9×	107 3.1×	4 0.1×	17 0.7×	18 0.8×	7	279
Suman Sedai Australia	10	201 0.9×	25 0.7×	37 1.3×	16 0.6×	178 7.4×	25	359
Mustafa Munir United States	4	78 0.4×	12 0.3×	7 0.3×	8 0.3×	28 1.2×	10	154
Chengrui Gao China	4	150 0.7×	25 0.7×	14 0.5×	12 0.5×	60 2.5×	8	239

Countries citing papers authored by Jonas Wulff

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Wulff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Wulff

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

All Works

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6 of 6 papers shown

1.

Chai, Lucy, Jonas Wulff, & Phillip Isola. (2021). Using latent space regression to analyze and leverage compositionality in GANs. arXiv (Cornell University). 18 indexed citations

2.

Janai, Joel, Fatma Güney, Jonas Wulff, Michael J. Black, & Andreas Geiger. (2017). Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. 1406–1416. 45 indexed citations

3.

Wulff, Jonas & Michael J. Black. (2015). Efficient sparse-to-dense optical flow estimation using a learned basis and layers. 120–130. 100 indexed citations

4.

Sun, Deqing, Jonas Wulff, Erik B. Sudderth, Hanspeter Pfister, & Michael J. Black. (2013). A Fully-Connected Layered Model of Foreground and Background Flow. 2451–2458. 53 indexed citations

5.

Stehlé, Thomas, Roland N. Auer, Sebastian Groß, et al.. (2009). Classification of colon polyps in NBI endoscopy using vascularization features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7260. 72602S–72602S. 38 indexed citations

6.

Stehlé, Thomas, Jonas Wulff, Axel Behrens, Sebastian Groß, & Til Aach. (2009). Denoising fluorescence endoscopy - A motion compensated temporal recursive video filter with an optimal minimum mean square error parameterization. 48. 314–317. 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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