Hans Löbel

883 total citations · 1 hit paper
20 papers, 588 citations indexed

About

Hans Löbel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Transportation. According to data from OpenAlex, Hans Löbel has authored 20 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Transportation. Recurrent topics in Hans Löbel's work include Domain Adaptation and Few-Shot Learning (4 papers), Transportation Planning and Optimization (3 papers) and Urban Transport and Accessibility (3 papers). Hans Löbel is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Transportation Planning and Optimization (3 papers) and Urban Transport and Accessibility (3 papers). Hans Löbel collaborates with scholars based in Chile, United States and Germany. Hans Löbel's co-authors include Ricardo Hurtubia, Vladimir Riffo, Tomás Rossetti, Miguel Carrasco, Uwe Zscherpel, Domingo Mery, Iván Lillo, Álvaro Soto, Denis Parra and Juan Carlos Herrera and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Landscape and Urban Planning.

In The Last Decade

Hans Löbel

19 papers receiving 570 citations

Hit Papers

GDXray: The Database of X-ray Images for Nondestructive T... 2015 2026 2018 2022 2015 100 200 300

Peers

Hans Löbel
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 168
  • Mechanical Engineering 141
  • Biomedical Engineering 121
  • Industrial and Manufacturing Engineering 105
  • Transportation 98
Replace Jiaxuan Yang with:
Jiaxuan Yang China
Menglin Wang China
Xing Su China
Weixin Huang China
Yaping Zhang China
Xu Shen China
Jiaxuan Yang China View profile →
Citations per field, relative to Hans Löbel
Hans Löbel · 1×
Citations per year, relative to Hans Löbel
Hans Löbel · 1×

Countries citing papers authored by Hans Löbel

Since Specialization
Citations

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

Fields of papers citing papers by Hans Löbel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Löbel

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 3
5 3
6
PUC Chile team at Concept Detection: K Nearest Neighbors with Perceptual Similarity.
1
7 5
8 9
9
PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN.
1
10
PUC Chile team at Caption Prediction: ResNet visual encoding and caption classification with Parametric ReLU.
2
11 66
12
Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks.
3
13 16
14 1
15 26
16 99
17 4
18 14
19
GDXray: The Database of X-ray Images for Nondestructive Testing breakdown →
325
20 8

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