Markus Eich

753 citations
30 papers · 608 · h-index 11

Impact in

Papers in

Markus Eich

28 papers receiving 582 citations

Peers

Markus Eich
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 200
  • Control and Systems Engineering 213
  • Geology 46
  • Aerospace Engineering 155
  • Biomedical Engineering 249
Replace Martin Wermelinger with:
Martin Wermelinger Switzerland
Soo-Yeong Yi South Korea
Maani Ghaffari Jadidi United States
Antonio E. Jimenez-Cano Spain
M. A. Trujillo Spain
Michal Reinštein Czechia
Àngel Santamaria‐Navarro Spain
Hammad Mazhar United States
Zaixing He China
Tim Bodenmüller Germany
Markus Eich relative to Martin Wermelinger Switzerland Martin Wermelinger's profile →
Citations per field
00.5×2×3×4×5×
Martin Wermelinger · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200899
2 201197
3 201464
4 201763
5 201653
6 201338
7 201133
8 201622
9 201421
10 200917
11 201012
12 201311
13 201510
14 201010
15
A magnetic climbing robot for marine inspection services
20129
16 20169
17 20137
18 20136
19 20156
20 20085

About Markus Eich

Markus Eich is a scholar working on Ocean Engineering, Aerospace Engineering, Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 608 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Underwater Vehicles and Communication Systems (8 papers), Modular Robots and Swarm Intelligence (6 papers), Robotic Path Planning Algorithms (6 papers), Soft Robotics and Applications (5 papers), Robot Manipulation and Learning (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Maritime Navigation and Safety (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (200 citations), Control and Systems Engineering (213 citations), Geology (46 citations), Aerospace Engineering (155 citations) and Biomedical Engineering (249 citations). Markus Eich has collaborated with scholars based in Germany, Australia and Italy. Frequent co-authors include Frank Kirchner, Thomas Vögele, Felix Grimminger, Trung Thanh Pham, Gordon F Wyeth, Ian D. Reid, Alberto Ortiz, Francisco Bonnin‐Pascual, Emilio Garcia‐Fidalgo and Gabriele Bruzzone. Their work appears in journals such as Journal of Field Robotics, IEEE Robotics and Automation Letters, Lecture notes in computer science, Cognitive technologies and International Letters of Chemistry Physics and Astronomy.

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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