Mark W. Mueller

2.8k citations
53 papers · 1.8k indexed · h-index 20

Mark W. Mueller

49 papers receiving 1.8k citations

Peers

Mark W. Mueller
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 759
  • Aerospace Engineering 844
  • Control and Systems Engineering 774
  • Computer Networks and Communications 272
  • Ocean Engineering 183
Replace Markus Hehn with:
Markus Hehn Switzerland
Sergei Lupashin Switzerland
Guillermo Heredia Spain
Marilena Vendittelli Italy
Isabelle Fantoni France
Juntong Qi China
Mina Kamel Switzerland
František Duchoň Slovakia
Danwei Wang Singapore
Guilherme A. S. Pereira Brazil
Mark W. Mueller relative to Markus Hehn Switzerland Markus Hehn's profile →
Citations per field
00.5×
Markus Hehn · 1×
Citations per year

Countries citing papers authored by Mark W. Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Mark W. Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark W. Mueller. 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 Mark W. Mueller. The network helps show where Mark W. Mueller may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20251
3 20252
4 20251
5 20250
6 20252
7 20240
8 202319
9 20230
10 20227
11 202238
12 20225
13 202135
14 202049
15 201966
16 201620
17 2014213
18 201379
19 201358
20
Operational Implementation of Mars Express Orbit and Attitude Control
20040

About Mark W. Mueller

Mark W. Mueller is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Automotive Engineering and Fluid Flow and Transfer Processes, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (22 papers), Adaptive Control of Nonlinear Systems (10 papers), Control and Dynamics of Mobile Robots (9 papers), Robotics and Sensor-Based Localization (7 papers), Biomimetic flight and propulsion mechanisms (6 papers), Robotic Locomotion and Control (6 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Aerospace Engineering and Energy Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (759 citations), Aerospace Engineering (844 citations), Control and Systems Engineering (774 citations), Computer Networks and Communications (272 citations) and Ocean Engineering (183 citations). Mark W. Mueller has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Raffaello D’Andrea, Markus Hehn, Michael Hamer, Sergei Lupashin, Koushil Sreenath, Xiangyu Wu, Angela P. Schoellig, Michael Sherback, Matthias Köhler and Jan Willmann. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Access, Journal of Guidance Control and Dynamics, Mechatronics 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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