Udo Frese

3.1k citations
77 papers · 2.0k · h-index 21

Impact in

Papers in

Udo Frese

73 papers receiving 1.9k citations

Peers

Udo Frese
Comparison fields: 5 of 92
  • Aerospace Engineering 1.2k
  • Computer Vision and Pattern Recognition 921
  • Geology 168
  • Control and Systems Engineering 567
  • Human-Computer Interaction 75
Replace Michael Suppa with:
Michael Suppa Germany
Armin Hornung Germany
Jeffrey Delmerico United States
Kaustubh Pathak Germany
Luciano Spinello Germany
Todor Stoyanov Sweden
Kai M. Wurm Germany
Jörg Stückler Germany
Juan Andrade‐Cetto Spain
Eijiro Takeuchi Japan
Udo Frese relative to Michael Suppa Germany Michael Suppa's profile →
Citations per field
00.5×2.7×
Michael Suppa · 1×
Citations per year

Countries citing papers authored by Udo Frese

Since Specialization
Citations

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

Fields of papers citing papers by Udo Frese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Udo Frese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Udo Frese Line = papers co-authored together Udo Frese links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004220
2 2005215
3 2011201
4 2010144
5 2006125
6 200693
7 200273
8
Simultaneous Localization and Mapping - A Discussion
200152
9 201152
10 201149
11 201147
12 200947
13 200644
14 201041
15 201134
16 201131
17 201130
18 200630
19
Iterated SLSJF: A sparse local submap joining algorithm with improved consistency
200825
20
Accurate Detection and Localization of Checkerboard Corners for Calibration.
201824

About Udo Frese

Udo Frese is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (37 papers), Robotic Path Planning Algorithms (18 papers), Robot Manipulation and Learning (14 papers), Indoor and Outdoor Localization Technologies (13 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers), Robotic Locomotion and Control (9 papers), Advanced Vision and Imaging (7 papers) and Inertial Sensor and Navigation (6 papers). The work is most often cited by research in Aerospace Engineering (1.2k citations), Computer Vision and Pattern Recognition (921 citations), Geology (168 citations), Control and Systems Engineering (567 citations) and Human-Computer Interaction (75 citations). Udo Frese has collaborated with scholars based in Germany, Australia and China. Frequent co-authors include G. Hirzinger, Christoph Hertzberg, Berthold Bäuml, René Wagner, P. Larsson, Lutz Schröder, Tom Duckett, Alin Albu‐Schäffer, Christian Ott and Oliver Birbach. Their work appears in journals such as Sensors, Autonomous Robots, Robotics and Autonomous Systems, Automatica and IEEE Robotics and Automation Letters.

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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