Marc Schwarzbach

16 papers receiving 420 citations

Peers

Marc Schwarzbach
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 254
  • Aerospace Engineering 246
  • Control and Systems Engineering 197
  • Biomedical Engineering 71
  • Mechanical Engineering 52
Replace Maximilian Laiacker with:
Maximilian Laiacker Germany
Yoji KURODA Japan
Mihir Dharmadhikari Norway
Daniel Gurdan United States
Jan Stumpf United States
Yvan Baudoin Belgium
Mihir Kulkarni Norway
Nikhil Khedekar Norway
Daisuke Nakazawa Japan
Aurélio G. Melo Brazil
Marc Schwarzbach relative to Maximilian Laiacker Germany Maximilian Laiacker's profile →
Citations per field
00.5×1.5×
Maximilian Laiacker · 1×
Citations per year

Countries citing papers authored by Marc Schwarzbach

Since Specialization
Citations

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

Fields of papers citing papers by Marc Schwarzbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Schwarzbach

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 2
3 10
4 1
5
DLR HABLEG – High Altitude Balloon Launched Experimental Glider
1
6
An infrared vision system for UAV close formation flight
2
7 2
8 105
9 40
10 12
11 6
12 74
13 115
14 40
15 5
16 0
17 13

About Marc Schwarzbach

Marc Schwarzbach is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology, having authored 17 papers that have together received 429 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (4 papers) and Aerospace Engineering and Energy Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (254 citations), Aerospace Engineering (246 citations) and Control and Systems Engineering (197 citations). Marc Schwarzbach has collaborated with scholars based in Germany, Spain and Netherlands. Frequent co-authors include Maximilian Laiacker, Konstantin Kondak, Felix Huber, Alin Albu‐Schäffer, Kai Krieger, David Sommer, Alfredo Ollero Ojeda, Manuel Béjar, Sven Parusel and Sami Haddadin. Their work appears in journals such as Journal of Systems Architecture, International Journal of Advanced Robotic Systems and Journal of Space Safety Engineering.

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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