D.M. Hummels
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
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- Face and Expression Recognition
Papers in
-
- Advancements in PLL and VCO Technologies 14
- Advanced Electrical Measurement Techniques 14
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- Analog and Mixed-Signal Circuit Design 24
- Acoustic Wave Resonator Technologies 7
- Co-authors
- M.T. Musavi (7 shared papers)K.H. Chan (3 shared papers)Keinosuke Fukunaga (3 shared papers)W. Ahmed (6 shared papers)F.H. Irons (21 shared papers)Simon Kennedy (4 shared papers)M. Pereira da Cunha (7 shared papers)Ali Abedi (4 shared papers)
- Journals
- IEEE Transactions on Instrumentation and Measurement (6 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Measurement (2 papers)Neural Networks (1 paper)Pattern Recognition (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
D.M. Hummels
47 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 406
- Computer Vision and Pattern Recognition 221
- Control and Systems Engineering 188
- Hardware and Architecture 50
- Biomedical Engineering 323
Countries citing papers authored by D.M. Hummels
This map shows the geographic impact of D.M. Hummels'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 D.M. Hummels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.M. Hummels more than expected).
Fields of papers citing papers by D.M. Hummels
This network shows the impact of papers produced by D.M. Hummels. 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 D.M. Hummels. The network helps show where D.M. Hummels may publish in the future.
Co-authors
The 23 scholars most cited alongside D.M. Hummels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 410 | |
| 2 | 1987 | 87 | |
| 3 | 1991 | 77 | |
| 4 | 1989 | 62 | |
| 5 | 1994 | 54 | |
| 6 | 1987 | 44 | |
| 7 | 2011 | 41 | |
| 8 | 1998 | 39 | |
| 9 | 2002 | 28 | |
| 10 | 2018 | 22 | |
| 11 | 1996 | 16 | |
| 12 | 2006 | 16 | |
| 13 | 1992 | 16 | |
| 14 | 2000 | 16 | |
| 15 | 2003 | 15 | |
| 16 | 1995 | 14 | |
| 17 | 1996 | 14 | |
| 18 | 2018 | 12 | |
| 19 | 2003 | 11 | |
| 20 | 2002 | 11 |
About D.M. Hummels
D.M. Hummels is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (24 papers), Advancements in PLL and VCO Technologies (14 papers), Advanced Electrical Measurement Techniques (14 papers), Sensor Technology and Measurement Systems (11 papers), Acoustic Wave Resonator Technologies (7 papers), Neural Networks and Applications (5 papers), Microgrid Control and Optimization (5 papers) and Control Systems and Identification (4 papers). The work is most often cited by research in Artificial Intelligence (406 citations), Computer Vision and Pattern Recognition (221 citations), Control and Systems Engineering (188 citations), Hardware and Architecture (50 citations) and Biomedical Engineering (323 citations). D.M. Hummels has collaborated with scholars based in United States and Italy. Frequent co-authors include M.T. Musavi, K.H. Chan, Keinosuke Fukunaga, W. Ahmed, F.H. Irons, Simon Kennedy, M. Pereira da Cunha, Ali Abedi, E. Dudzik and Jiaxi Ying. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Pattern Analysis and Machine Intelligence, Measurement, Neural Networks and Pattern Recognition.
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.