Markus Hehn

4.4k citations
43 papers · 1.7k · h-index 21

Impact in

Papers in

Markus Hehn

42 papers receiving 1.7k citations

Peers

Markus Hehn
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 814
  • Aerospace Engineering 868
  • Control and Systems Engineering 764
  • Computer Networks and Communications 283
  • Ocean Engineering 165
Replace Mark W. Mueller with:
Mark W. Mueller United States
Guillermo Heredia Spain
Antonio Giannitrapani Italy
Guilherme A. S. Pereira Brazil
Nabil Aouf United Kingdom
Jonathan Ko United States
Nikolay Atanasov United States
N. M. Kwok Australia
K. Madhava Krishna India
S. Yuta Japan
Markus Hehn relative to Mark W. Mueller United States Mark W. Mueller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Markus Hehn

Since Specialization
Citations

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

Fields of papers citing papers by Markus Hehn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Hehn, 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 Markus Hehn Line = papers co-authored together Markus Hehn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015249
2 2014215
3 2014146
4 2011143
5 2011133
6 201295
7 201579
8 201266
9 201359
10 201352
11 201134
12 201034
13 201333
14 201833
15 201433
16 201633
17 201931
18 201125
19 201124
20 201221

About Markus Hehn

Markus Hehn is a scholar working on Aerospace Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (13 papers), Robotic Path Planning Algorithms (11 papers), Indoor and Outdoor Localization Technologies (9 papers), Guidance and Control Systems (6 papers), Advanced Control Systems Optimization (5 papers), Robotics and Sensor-Based Localization (5 papers), Control and Dynamics of Mobile Robots (4 papers) and Plant Water Relations and Carbon Dynamics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (814 citations), Aerospace Engineering (868 citations), Control and Systems Engineering (764 citations), Computer Networks and Communications (283 citations) and Ocean Engineering (165 citations). Markus Hehn has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Raffaello D’Andrea, Mark W. Mueller, Sergei Lupashin, Robin Ritz, Martin Vossiek, Dario Brescianini, Angela P. Schoellig, Michael Sherback, Michael Hamer and Matthias Köhler. Their work appears in journals such as IEEE Access, Mechatronics, IEEE Transactions on Robotics, IEEE Open Journal of Antennas and Propagation and IEEE Open Journal of Vehicular Technology.

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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