Jürgen Gall

1.4k total citations
13 papers, 432 citations indexed

About

Jürgen Gall is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Jürgen Gall has authored 13 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Jürgen Gall's work include Human Pose and Action Recognition (4 papers), Human Motion and Animation (3 papers) and Video Surveillance and Tracking Methods (3 papers). Jürgen Gall is often cited by papers focused on Human Pose and Action Recognition (4 papers), Human Motion and Animation (3 papers) and Video Surveillance and Tracking Methods (3 papers). Jürgen Gall collaborates with scholars based in Germany, United States and Japan. Jürgen Gall's co-authors include Francesc Moreno, Alejandro Hernández, Jens Behley, Cyrill Stachniss, Louis Wiesmann, Xieyuanli Chen, Shijie Li, Benedikt Mersch, Victor Lempitsky and Andres Milioto and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and Journal of Mathematical Imaging and Vision.

In The Last Decade

Jürgen Gall

10 papers receiving 416 citations

Peers

Jürgen Gall
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 326
  • Aerospace Engineering 147
  • Control and Systems Engineering 89
  • Environmental Engineering 87
  • Geology 74
Replace Han Ma with:
Han Ma Hong Kong
Jianhui Liu China
Tianrui Guan United States
Inwook Shim South Korea
Tolga Birdal United States
Huan Yin China
Chuanzhe Suo Hong Kong
Julian Ryde United States
Benedikt Mersch Germany
Masashi Yokozuka Japan
Han Ma Hong Kong View profile →
Citations per field, relative to Jürgen Gall
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Citations per year, relative to Jürgen Gall
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Countries citing papers authored by Jürgen Gall

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Gall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Gall

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 0
3 153
4 90
5 117
6
Convolutional Simplex Projection Network for Weakly Supervised Semantic Segmentation.
2
7
Direct Shot Correspondence Matching.
1
8
JointFlow: Temporal Flow Fields for Multi Person Pose Estimation.
1
9 0
10 30
11 27
12
Global stochastic optimization for robust and accurate human motion capture
3
13
Robust Pose Estimation with 3D Textured Models
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.

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