Daniel Ewert

730 citations
50 papers · 330 · h-index 8

Impact in

Papers in

Daniel Ewert

44 papers receiving 323 citations

Peers

Daniel Ewert
Comparison fields: 5 of 73
  • Biomedical Engineering 212
  • Industrial and Manufacturing Engineering 31
  • Biophysics 15
  • Cardiology and Cardiovascular Medicine 58
  • Electrical and Electronic Engineering 144
Replace Raghbir Singh Khandpur with:
Raghbir Singh Khandpur India
T. Sano Japan
Kohji Koshiji Japan
Beilei Xu United States
Yousef Al-Handarish China
Bilal Amin Ireland
Takuya Tsujimura Japan
Ernesto Ávila-Navarro Spain
Robert C. Roberts United States
Daniel Ewert relative to Raghbir Singh Khandpur India Raghbir Singh Khandpur's profile →
Citations per field
00.5×8.2×
Raghbir Singh Khandpur · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 200345
3 201545
4 201834
5 202015
6 199912
7 201912
8 201111
9 20137
10 20157
11 20186
12 20075
13 20155
14 20145
15 20135
16 20025
17 20225
18 19984
19 19994
20 19994

About Daniel Ewert

Daniel Ewert is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Surgery, having authored 50 papers that have together received 330 indexed citations. Recurring topics across this work include Wireless Body Area Networks (7 papers), Wireless Power Transfer Systems (6 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Cardiovascular Function and Risk Factors (6 papers), Mechanical Circulatory Support Devices (5 papers), Heart Rate Variability and Autonomic Control (5 papers), Energy Harvesting in Wireless Networks (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Biomedical Engineering (212 citations), Industrial and Manufacturing Engineering (31 citations), Biophysics (15 citations), Cardiology and Cardiovascular Medicine (58 citations) and Electrical and Electronic Engineering (144 citations). Daniel Ewert has collaborated with scholars based in United States, Germany and Pakistan. Frequent co-authors include Benjamin D. Braaten, Sajid M. Asif, Adnan Iftikhar, Steven C. Koenig, Muhammad Saeed Khan, Mark J. Schroeder, Sabina Jeschke, Daniel Schilberg, Laman A. Gray and Robert D. Dowling. Their work appears in journals such as IEEE Access, ASAIO Journal, Production Engineering, IET Microwaves Antennas & Propagation and Experimental 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.

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