David Hafner

1.4k total citations · 1 hit paper
11 papers, 712 citations indexed

About

David Hafner is a scholar working on Computer Vision and Pattern Recognition, Clinical Psychology and Media Technology. According to data from OpenAlex, David Hafner has authored 11 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Clinical Psychology and 3 papers in Media Technology. Recurrent topics in David Hafner's work include Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (4 papers) and Image Enhancement Techniques (3 papers). David Hafner is often cited by papers focused on Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (4 papers) and Image Enhancement Techniques (3 papers). David Hafner collaborates with scholars based in Germany, Mexico and United States. David Hafner's co-authors include Konrad Schindler, René Ranftl, Vladlen Koltun, Katrin Lasinger, Joachim Weickert, Samarth Brahmbhatt and Matthias Müller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

David Hafner

10 papers receiving 688 citations

Hit Papers

Towards Robust Monocular Depth Estimation: Mixing Dataset... 2022 2026 2023 2024 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Hafner Germany 5 594 148 142 84 49 11 712
Martin Čadík Czechia 16 780 1.3× 221 1.5× 135 1.0× 180 2.1× 30 0.6× 36 978
Zhile Ren United States 12 495 0.8× 53 0.4× 131 0.9× 58 0.7× 70 1.4× 20 681
Zhiwen Fan United States 11 849 1.4× 240 1.6× 134 0.9× 83 1.0× 129 2.6× 14 1.0k
Aladine Chetouani France 16 448 0.8× 138 0.9× 51 0.4× 63 0.8× 72 1.5× 89 741
El Mustapha Mouaddib France 13 542 0.9× 115 0.8× 200 1.4× 42 0.5× 140 2.9× 45 698
Katrin Lasinger Austria 6 891 1.5× 183 1.2× 229 1.6× 145 1.7× 152 3.1× 8 1.1k
Jiangjian Xiao China 13 848 1.4× 83 0.6× 164 1.2× 62 0.7× 12 0.2× 60 928
Bo Ren China 12 367 0.6× 93 0.6× 74 0.5× 89 1.1× 26 0.5× 44 718
Robby T. Tan Singapore 17 988 1.7× 239 1.6× 58 0.4× 65 0.8× 15 0.3× 39 1.2k
Michal Perďoch Czechia 15 936 1.6× 85 0.6× 410 2.9× 33 0.4× 49 1.0× 20 1.0k

Countries citing papers authored by David Hafner

Since Specialization
Citations

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

Fields of papers citing papers by David Hafner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hafner

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

All Works

11 of 11 papers shown
1.
Müller, Matthias, et al.. (2024). OpenBot-Fleet: A System for Collective Learning with Real Robots. 4758–4765.
2.
Ranftl, René, Katrin Lasinger, David Hafner, Konrad Schindler, & Vladlen Koltun. (2022). Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer. Repository for Publications and Research Data (ETH Zurich). 647 indexed citations breakdown →
3.
Hafner, David. (2018). Building Castles Made of Pleasure. The Psychoanalytic Review. 105(3). 279–302. 2 indexed citations
4.
Hafner, David. (2017). An Introduction to the Transference Unconscious. SHILAP Revista de lepidopterología. 6(1). 33–65. 1 indexed citations
5.
Hafner, David, et al.. (2015). Morphologically Invariant Matching of Structures with the Complete Rank Transform. International Journal of Computer Vision. 113(3). 220–232. 2 indexed citations
6.
Hafner, David & Joachim Weickert. (2015). Variational Image Fusion with Optimal Local Contrast. Computer Graphics Forum. 35(1). 100–112. 4 indexed citations
7.
Hafner, David. (2015). Ambiguity, Equivocation, Unconscious. SHILAP Revista de lepidopterología. 4(1). 75–103. 2 indexed citations
8.
Hafner, David, et al.. (2014). Simultaneous HDR and Optic Flow Computation. 2065–2070. 25 indexed citations
9.
Hafner, David, et al.. (2014). Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation. Journal of Mathematical Imaging and Vision. 52(1). 71–86. 1 indexed citations
10.
Hafner, David, et al.. (2014). A focus fusion framework with anisotropic depth map smoothing. Pattern Recognition. 48(11). 3310–3323. 10 indexed citations
11.
Hafner, David, et al.. (2013). The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures. 50.1–50.11. 18 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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