Christian Förster

8.3k citations
94 papers · 5.5k indexed · 4 hit papers · h-index 28
Topics
Robotics and Sensor-Based Localization (13 papers)Advanced Vision and Imaging (12 papers)Silicon Carbide Semiconductor Technologies (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment

In The Last Decade

Christian Förster

87 papers receiving 5.3k citations

Hit Papers

SVO: Fast semi-direct monocular visual odometry201420262018202220142016201620154008001.2k

Peers

Christian Förster
Comparison fields: 5 of 174
  • Aerospace Engineering 3.6k
  • Computer Vision and Pattern Recognition 2.9k
  • Geology 1.1k
  • Electrical and Electronic Engineering 1.0k
  • Ocean Engineering 335
Replace Peter Sturm with:
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Yasuyuki Matsushita Japan
Zhiwei Fang China
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Christian Förster relative to Peter Sturm United States Peter Sturm's profile →
Citations per field
00.5×4.5×
Peter Sturm · 1×
Citations per year

Countries citing papers authored by Christian Förster

Since Specialization
Citations

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

Fields of papers citing papers by Christian Förster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Förster

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Förster. A scholar is included among the top collaborators of Christian Förster 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 Christian Förster. Christian Förster 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 1
2 0
3 5
4 3
5 1
6 1
7 0
8 10
9 69
10 68
11 23
12 133
13
Exploiting XML Technologies in Medical Information Systems
1
14
Die Fusion von Bürgschaft und Garantie : eine Neusystematisierung aus rechtsvergleichender Perspektive
0
15 21
16 5
17 13
18 41
19 29
20 4

About Christian Förster

Christian Förster is a scholar working on Immunology and Allergy, Computer Vision and Pattern Recognition and Geology, having authored 94 papers that have together received 5.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Advanced Vision and Imaging (12 papers) and Silicon Carbide Semiconductor Technologies (9 papers). The work is most often cited by research in Geology (1.1k citations), Aerospace Engineering (3.6k citations) and Computer Vision and Pattern Recognition (2.9k citations). Christian Förster has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Davide Scaramuzza, Matia Pizzoli, Frank Dellaert, Luca Carlone, Zichao Zhang, Manuel Werlberger, Matthias Faessler, Flavio Fontana, Ian Macdonald and Ralf Stahlmann. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

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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Rankless by CCL
2026