Jürgen Sturm

6.8k citations
38 papers · 4.2k indexed · 5 hit papers · h-index 22
Topics
Robotics and Sensor-Based Localization (20 papers)Advanced Vision and Imaging (16 papers)Advanced Image and Video Retrieval Techniques (9 papers)

In The Last Decade

Jürgen Sturm

37 papers receiving 4.1k citations

Hit Papers

Dense visual SLAM for RGB-D cameras201220262016202120132013201220132013100200300400500

Peers

Jürgen Sturm
Comparison fields: 5 of 112
  • Aerospace Engineering 3.2k
  • Computer Vision and Pattern Recognition 2.9k
  • Geology 1.2k
  • Electrical and Electronic Engineering 534
  • Control and Systems Engineering 493
Replace Joachim Hertzberg with:
Joachim Hertzberg Germany
Éric Marchand France
Kari Pulli United States
Christoph Rhemann United Kingdom
Se‐Young Oh South Korea
Weiwei Xu China
Cornelia Fermüller United States
Randall C. Smith United States
Hassan Foroosh United States
Fei Qiao China
Jürgen Sturm relative to Joachim Hertzberg Germany Joachim Hertzberg's profile →
Citations per field
00.5×3.0×
Joachim Hertzberg · 1×
Citations per year

Countries citing papers authored by Jürgen Sturm

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Sturm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Sturm

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Sturm. A scholar is included among the top collaborators of Jürgen Sturm 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 Sturm. Jürgen Sturm 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
#WorkIndexed citations
1 9
2 14
3 17
4 18
5 152
6
Learning probabilistic models for mobile manipulation robots
5
7 71
8 8
9
Robust odometry estimation for RGB-D camerasbreakdown →
395
10
An evaluation of the RGB-D SLAM systembreakdown →
516
11 70
12 234
13 91
14 23
15 41
16
Towards Understanding Articulated Objects
0
17 165
18 4
19 40
20 17

About Jürgen Sturm

Jürgen Sturm is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 38 papers that have together received 4.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Advanced Vision and Imaging (16 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Geology (1.2k citations), Computer Vision and Pattern Recognition (2.9k citations) and Aerospace Engineering (3.2k citations). Jürgen Sturm has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Daniel Cremers, Christian Kerl, Wolfram Burgard, Jakob Engel, Jürgen Hess, Felix Endres, Frank Steinbrücker, Nikolas Engelhard, M. Daune and Sachin Chitta. Their work appears in journals such as The Journal of Physical Chemistry, Polymer and Biopolymers.

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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