Markus Eich

742 citations
28 papers · 532 · h-index 11

Impact in

Papers in

Markus Eich

27 papers receiving 506 citations

Peers

Markus Eich
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 177
  • Geology 46
  • Control and Systems Engineering 189
  • Aerospace Engineering 143
  • Biomedical Engineering 229
Replace Kazuki Otake with:
Kazuki Otake Japan
Pablo Ramón Soria Spain
Pedro J. Sanchez-Cuevas Spain
Antonio E. Jimenez-Cano Spain
Maani Ghaffari United States
M. A. Trujillo Spain
Michael Cashmore United Kingdom
Àngel Santamaria‐Navarro Spain
Lars Lindner Mexico
Rahul Summan United Kingdom
Markus Eich relative to Kazuki Otake Japan Kazuki Otake's profile →
Citations per field
00.5×1.5×1.9×
Kazuki Otake · 1×
Citations per year

Countries citing papers authored by Markus Eich

Since Specialization
Citations

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

Fields of papers citing papers by Markus Eich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200889
2 201189
3 201458
4 201754
5 201649
6 201331
7 201127
8 201620
9 200917
10 201416
11 201011
12 201510
13
A magnetic climbing robot for marine inspection services
20128
14 20168
15 20108
16 20156
17 20136
18
An autonomous mobile manipulator for collecting sample containers
20144
19 20084
20 20134

About Markus Eich

Markus Eich is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Mechanical Engineering and Biomedical Engineering, having authored 28 papers that have together received 532 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Underwater Vehicles and Communication Systems (8 papers), Robotic Path Planning Algorithms (7 papers), Modular Robots and Swarm Intelligence (7 papers), Soft Robotics and Applications (5 papers), Maritime Navigation and Safety (4 papers), Robotic Locomotion and Control (4 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (177 citations), Geology (46 citations), Control and Systems Engineering (189 citations), Aerospace Engineering (143 citations) and Biomedical Engineering (229 citations). Markus Eich has collaborated with scholars based in Germany, Italy and Australia. Frequent co-authors include Frank Kirchner, Thomas Vögele, Felix Grimminger, Trung Pham, Gordon Wyeth, Ian Reid, Alberto Ortiz, Gabriele Bruzzone, Francisco Bonnin‐Pascual and Emilio Garcia‐Fidalgo. Their work appears in journals such as Journal of Field Robotics, IEEE Robotics and Automation Letters, IFAC Proceedings Volumes, Adelaide Research & Scholarship (AR&S) (University of Adelaide) and QUT ePrints (Queensland University of 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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