William D. Nothwang

27 papers receiving 432 citations

Peers

William D. Nothwang
Comparison fields: 5 of 59
  • Aerospace Engineering 100
  • Computer Vision and Pattern Recognition 81
  • Biomedical Engineering 148
  • Geology 18
  • Materials Chemistry 128
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Ziqian Bai China
Te Tang United States
Michael Hofstätter Austria
Keisuke Koyama Japan
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Suguru Saito Japan
Xinyue Tang China
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Citations per year

Countries citing papers authored by William D. Nothwang

Since Specialization
Citations

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

Fields of papers citing papers by William D. Nothwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Nothwang. 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 William D. Nothwang. The network helps show where William D. Nothwang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012196
2 201967
3 201630
4 201625
5 201416
6 201515
7 200613
8 201812
9 200010
10 20167
11 20167
12 20165
13 20194
14 20164
15 20174
16
Batteryless Electroencephalography (EEG): Subthreshold Voltage System-on-a-Chip (SoC) Design for Neurophysiological Measurement
20154
17 20183
18 20183
19 20162
20 20162

About William D. Nothwang

William D. Nothwang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Media Technology and Cognitive Neuroscience, having authored 29 papers that have together received 439 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (6 papers), Healthcare Technology and Patient Monitoring (6 papers), EEG and Brain-Computer Interfaces (4 papers), Human-Automation Interaction and Safety (4 papers), Acoustic Wave Resonator Technologies (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Aerospace Engineering (100 citations), Computer Vision and Pattern Recognition (81 citations), Biomedical Engineering (148 citations), Geology (18 citations) and Materials Chemistry (128 citations). William D. Nothwang has collaborated with scholars based in United States, Taiwan and Austria. Frequent co-authors include Ronald G. Polcawich, Robert M. Proie, Luz M. Sanchez, Ryan Q. Rudy, Daniel M. Potrepka, Tony G. Ivanov, Gabriel L. Smith, Sarah S. Bedair, Christopher D. Meyer and Jeffrey S. Pulskamp. Their work appears in journals such as Journal of the American Ceramic Society, Theoretical Issues in Ergonomics Science, Acta Materialia, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.

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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