Daniel Ewert

742 citations
79 papers · 522 · h-index 12

Impact in

Papers in

Daniel Ewert

71 papers receiving 508 citations

Peers

Daniel Ewert
Comparison fields: 5 of 82
  • Industrial and Manufacturing Engineering 103
  • Biomedical Engineering 212
  • Aerospace Engineering 69
  • Human-Computer Interaction 16
  • Electrical and Electronic Engineering 152
Replace Wenkai Huang with:
Wenkai Huang China
Xingce Wang China
Xuan Cheng China
Zhiqin Qian China
Yanhong Peng Japan
Xingyi Yang China
Kahina Amara Algeria
Suman Tewary India
Mario Gianni Italy
Saleem Latteef Mohammed Iraq
Daniel Ewert relative to Wenkai Huang China Wenkai Huang's profile →
Citations per field
00.5×10×12.5×
Wenkai Huang · 1×
Citations per year

Countries citing papers authored by Daniel Ewert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ewert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201951
2 200345
3 201545
4 201836
5 201431
6 201319
7 202017
8 201116
9 201416
10 199912
11 201912
12 201612
13 201210
14 20109
15 20139
16 20128
17 20158
18 20138
19 20127
20
Self-Optimising Assembly Systems Based on Cognitive Technologies
20137

About Daniel Ewert

Daniel Ewert is a scholar working on Industrial and Manufacturing Engineering, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 79 papers that have together received 522 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (16 papers), Manufacturing Process and Optimization (12 papers), Wireless Body Area Networks (6 papers), AI-based Problem Solving and Planning (6 papers), Digital Transformation in Industry (6 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Modular Robots and Swarm Intelligence (6 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (103 citations), Biomedical Engineering (212 citations), Aerospace Engineering (69 citations), Human-Computer Interaction (16 citations) and Electrical and Electronic Engineering (152 citations). Daniel Ewert has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Sabina Jeschke, Benjamin D. Braaten, Daniel Schilberg, Sajid M. Asif, Adnan Iftikhar, Steven C. Koenig, Muhammad Saeed Khan, Mark J. Schroeder, Alexander Ferrein and Gerhard Lakemeyer. Their work appears in journals such as IEEE Access, ASAIO Journal, IEEE Transactions on Biomedical Engineering, Journal of Cardiovascular Development and Disease and Computers in Biology and Medicine.

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.

Explore authors with similar magnitude of impact