Daniel Schmidt

1.3k citations
65 papers · 898 · h-index 15

Impact in

Papers in

Daniel Schmidt

57 papers receiving 853 citations

Peers

Daniel Schmidt
Comparison fields: 5 of 94
  • Industrial and Manufacturing Engineering 180
  • Control and Systems Engineering 179
  • Biomedical Engineering 293
  • Mechanical Engineering 245
  • Computer Vision and Pattern Recognition 131
Replace David Herrero‐Perez with:
David Herrero‐Perez Spain
Zhaozong Meng China
R.M. Parkin United Kingdom
Gerardo Beruvides Spain
Marek B. Zaremba Canada
Geir Hovland Norway
Axel Sikora Germany
Jing He China
Tobias Brückmann Germany
Md. Hafiz Ahamed Bangladesh
Daniel Schmidt relative to David Herrero‐Perez Spain David Herrero‐Perez's profile →
Citations per field
00.5×3.8×
David Herrero‐Perez · 1×
Citations per year

Countries citing papers authored by Daniel Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013207
2 2019147
3 200869
4 201040
5 200937
6 201934
7 201130
8 202025
9 202025
10 200923
11 200722
12 202021
13 200919
14 200619
15 201017
16 201214
17 201413
18 200912
19 201311
20 201510

About Daniel Schmidt

Daniel Schmidt is a scholar working on Mechanical Engineering, Mechanics of Materials, Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 65 papers that have together received 898 indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (11 papers), Soft Robotics and Applications (8 papers), Robot Manipulation and Learning (8 papers), Optical Network Technologies (7 papers), Robotic Path Planning Algorithms (6 papers), Modular Robots and Swarm Intelligence (6 papers), Non-Destructive Testing Techniques (5 papers) and Structural Health Monitoring Techniques (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (180 citations), Control and Systems Engineering (179 citations), Biomedical Engineering (293 citations), Mechanical Engineering (245 citations) and Computer Vision and Pattern Recognition (131 citations). Daniel Schmidt has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Karsten Berns, Javier Villalba-Díez, Norbert Wehn, Joaquín Ordieres‐Meré, Wanja Wellbrock, Martín Molina, Michael Sinapius, Thomas Kühn, Berthold Lankl and Elke Korn. Their work appears in journals such as Sensors, Simulation Modelling Practice and Theory, Applied Sciences, Industrial Robot the international journal of robotics research and application and Optics Express.

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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