David Hafner

1.4k citations
11 papers · 725 · 1 hit paper · h-index 5

Impact in

Papers in

David Hafner

10 papers receiving 703 citations

David Hafner's Hit Papers

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer 2022 · 658 citations
6580+1+2Years since publication200400600

Peers

David Hafner
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 600
  • Computer Graphics and Computer-Aided Design 86
  • Media Technology 149
  • Geology 51
  • Aerospace Engineering 145
Replace Henning Zimmer with:
Henning Zimmer Switzerland
Martin Čadík Czechia
Kevin Karsch United States
Vincent Casser United States
Katrin Lasinger Austria
Bo Ren China
Holger Caesar Netherlands
Jiangjian Xiao China
Tianfan Xue Hong Kong
Robby T. Tan Singapore
David Hafner relative to Henning Zimmer Switzerland Henning Zimmer's profile →
Citations per field
00.5×3.3×
Henning Zimmer · 1×
Citations per year

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-authors

The 7 scholars most cited alongside David Hafner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Hafner Line = papers co-authored together David Hafner links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
Hit paper breakdown →
2022658
2 201425
3 201318
4 201410
5 20155
6 20153
7 20182
8 20152
9 20141
10 20171
11 20240

About David Hafner

David Hafner is a scholar working on Computer Vision and Pattern Recognition, Clinical Psychology, Media Technology, Control and Systems Engineering and Literature and Literary Theory, having authored 11 papers that have together received 725 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (4 papers), Image Enhancement Techniques (3 papers), Psychology and Mental Health (2 papers), Image Processing Techniques and Applications (2 papers), Advanced Image Fusion Techniques (2 papers), Academic and Historical Perspectives in Psychology (1 paper) and French Literature and Critical Theory (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (600 citations), Computer Graphics and Computer-Aided Design (86 citations), Media Technology (149 citations), Geology (51 citations) and Aerospace Engineering (145 citations). David Hafner has collaborated with scholars based in Germany, United States and Mexico. Frequent co-authors include René Ranftl, Katrin Lasinger, Vladlen Koltun, Konrad Schindler, Joachim Weickert, Matthias Müller and Samarth Brahmbhatt. Their work appears in journals such as Journal of Mathematical Imaging and Vision, International Journal of Computer Vision, Pattern Recognition, Computer Graphics Forum and The Psychoanalytic Review.

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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