Sven Haase

39 total papers · 534 total citations
21 papers, 304 citations indexed

About

Sven Haase is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Sven Haase has authored 21 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Sven Haase's work include Neural Networks and Applications (5 papers), Advanced Optical Sensing Technologies (4 papers) and Advanced Vision and Imaging (4 papers). Sven Haase is often cited by papers focused on Neural Networks and Applications (5 papers), Advanced Optical Sensing Technologies (4 papers) and Advanced Vision and Imaging (4 papers). Sven Haase collaborates with scholars based in Germany, United States and Netherlands. Sven Haase's co-authors include Thomas Villmann, Kerstin Bunte, Michael Biehl, Joachim Hornegger, Sebastian Bauer, Lena Maier‐Hein, Marika Kaden, Eric Heim, Markus Fangerau and Alexander Seitel and has published in prestigious journals such as Neural Computation, Neurocomputing and Medical Image Analysis.

In The Last Decade

Sven Haase

20 papers receiving 293 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sven Haase 161 97 60 41 37 21 304
Jingyu Li 227 1.4× 95 1.0× 50 0.8× 11 0.3× 45 1.2× 29 357
Pierre Graebling 272 1.7× 38 0.4× 67 1.1× 46 1.1× 60 1.6× 21 350
Jean-Baptiste Fasquel 113 0.7× 31 0.3× 31 0.5× 22 0.5× 53 1.4× 31 262
G. Impoco 181 1.1× 29 0.3× 29 0.5× 34 0.8× 26 0.7× 27 347
Yicheng He 176 1.1× 130 1.3× 42 0.7× 20 0.5× 27 0.7× 13 304
Siyang Li 95 0.6× 55 0.6× 14 0.2× 17 0.4× 13 0.4× 27 290
Zhaohui Huang 234 1.5× 28 0.3× 44 0.7× 20 0.5× 33 0.9× 17 335
Fan Zhang 104 0.6× 67 0.7× 24 0.4× 11 0.3× 9 0.2× 29 337
Wenjie Zhu 105 0.7× 104 1.1× 52 0.9× 18 0.4× 18 0.5× 30 308
Laura Caponetti 115 0.7× 40 0.4× 38 0.6× 20 0.5× 26 0.7× 24 245

Countries citing papers authored by Sven Haase

Since Specialization
Citations

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

Fields of papers citing papers by Sven Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Haase

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026