Daniel E. Barber
Impact in
- Physiology top 10%
- Mechanical Engineering top 10%
- Metallurgical Processes and Thermodynamics
- Metallic Glasses and Amorphous Alloys
Papers in
-
- Electric Motor Design and Analysis 5
-
- Magnetic Bearings and Levitation Dynamics 2
- Co-authors
- Won‐Kyu Rhim (1 shared paper)Kin F. Man (1 shared paper)R. Erik Spjut (1 shared paper)Sang K. Chung (1 shared paper)Aaron J. Rulison (1 shared paper)Gary Gutt (1 shared paper)J. D. Carlson (2 shared papers)Aldo Boglietti (3 shared papers)
- Journals
- Inorganic Chemistry (3 papers)IEEE Transactions on Industry Applications (2 papers)Journal of Intelligent Material Systems and Structures (1 paper)Organometallics (1 paper)Review of Scientific Instruments (1 paper)
- Partner nations
- United StatesItalySweden
In The Last Decade
Daniel E. Barber
14 papers receiving 574 citations
Peers
Comparison fields: 5 of 56
- Physiology 46
- Mechanical Engineering 226
- General Materials Science 17
- Ceramics and Composites 30
- Materials Chemistry 231
Countries citing papers authored by Daniel E. Barber
This map shows the geographic impact of Daniel E. Barber'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 E. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Barber more than expected).
Fields of papers citing papers by Daniel E. Barber
This network shows the impact of papers produced by Daniel E. Barber. 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 E. Barber. The network helps show where Daniel E. Barber may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel E. Barber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 290 | |
| 2 | 2020 | 66 | |
| 3 | 1992 | 63 | |
| 4 | 2020 | 39 | |
| 5 | 2018 | 30 | |
| 6 | 2016 | 30 | |
| 7 | 1991 | 27 | |
| 8 | 2009 | 25 | |
| 9 | 2009 | 15 | |
| 10 | 1996 | 12 | |
| 11 | 1995 | 12 | |
| 12 | 2018 | 8 | |
| 13 | 2015 | 1 | |
| 14 | 2011 | 1 |
About Daniel E. Barber
Daniel E. Barber is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 14 papers that have together received 619 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (5 papers), Metalloenzymes and iron-sulfur proteins (2 papers), Organometallic Complex Synthesis and Catalysis (2 papers), Railway Systems and Energy Efficiency (2 papers), Magnetic Bearings and Levitation Dynamics (2 papers), Induction Heating and Inverter Technology (2 papers), Magnetic Properties and Applications (2 papers) and Vibration Control and Rheological Fluids (2 papers). The work is most often cited by research in Physiology (46 citations), Mechanical Engineering (226 citations), General Materials Science (17 citations), Ceramics and Composites (30 citations) and Materials Chemistry (231 citations). Daniel E. Barber has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include Won‐Kyu Rhim, Kin F. Man, R. Erik Spjut, Sang K. Chung, Aaron J. Rulison, Gary Gutt, J. D. Carlson, Aldo Boglietti, Yujing Liu and Robert H. Crabtree. Their work appears in journals such as Inorganic Chemistry, IEEE Transactions on Industry Applications, Journal of Intelligent Material Systems and Structures, Organometallics and Review of Scientific Instruments.
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.