Paul Voigtlaender

1.6k citations
5 papers · 165 indexed · h-index 4
Topics
Handwritten Text Recognition Techniques (2 papers)Visual Attention and Saliency Detection (2 papers)Advanced Neural Network Applications (2 papers)
Journals
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

In The Last Decade

Paul Voigtlaender

5 papers receiving 160 citations

Peers

Paul Voigtlaender
Comparison fields: 5 of 30
  • Computer Vision and Pattern Recognition 144
  • Artificial Intelligence 86
  • Media Technology 21
  • Human-Computer Interaction 17
  • Signal Processing 16
Replace Zhanning Gao with:
Zhanning Gao China
Duan Tran United States
E. Augustin France
Chayan Halder India
Harsh Mehta India
Amir Soleimani Finland
Aurélie Lemaître France
Kibok Lee South Korea
Ron Litman Israel
David Bridson United Kingdom
Paul Voigtlaender relative to Zhanning Gao China Zhanning Gao's profile →
Citations per field
00.5×2.8×
Zhanning Gao · 1×
Citations per year

Countries citing papers authored by Paul Voigtlaender

Since Specialization
Citations

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

Fields of papers citing papers by Paul Voigtlaender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Voigtlaender

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

All Works

About Paul Voigtlaender

Paul Voigtlaender is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 5 papers that have together received 165 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (2 papers), Visual Attention and Saliency Detection (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Human-Computer Interaction (17 citations) and Artificial Intelligence (86 citations). Paul Voigtlaender has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Patrick Doetsch, Hermann Ney, Ralf Schlüter, Simon Wiesler, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Soravit Changpinyo and Radu Soricut. Their work appears in journals such as 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

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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