Tobias Pohlen

4.1k citations
2 papers · 399 indexed · 1 hit paper · h-index 2
Topics
Advanced Image and Video Retrieval Techniques (1 paper)Advanced Neural Network Applications (1 paper)Domain Adaptation and Few-Shot Learning (1 paper)
Partner nations
Germany

In The Last Decade

Tobias Pohlen

2 papers receiving 390 citations

Hit Papers

Full-Resolution Residual Networks for Semantic Segmentati...20172026202020232017100200300

Peers

Tobias Pohlen
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 300
  • Artificial Intelligence 106
  • Media Technology 45
  • Radiology, Nuclear Medicine and Imaging 45
  • Aerospace Engineering 29
Replace Mennatullah Siam with:
Mennatullah Siam Canada
Nasim Souly United States
Lanyun Zhu China
Xinyi Wu China
Mohammadreza Mostajabi Iran
Zhongying Deng China
Shubham Innani United States
Lluís Castrejón Canada
Kunyang Sun China
Tobias Pohlen relative to Mennatullah Siam Canada Mennatullah Siam's profile →
Citations per field
00.5×11.7×
Mennatullah Siam · 1×
Citations per year

Countries citing papers authored by Tobias Pohlen

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Pohlen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Pohlen

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenesbreakdown →
394
2 5

About Tobias Pohlen

Tobias Pohlen is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 2 papers that have together received 399 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (300 citations), Media Technology (45 citations) and Artificial Intelligence (106 citations). Tobias Pohlen has collaborated with scholars based in Germany. Frequent co-authors include Markus Mathias, Bastian Leibe and Alexander Hermans.

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