Daniel E. Barber

15 papers receiving 596 citations

Peers

Daniel E. Barber
Comparison fields: 5 of 59
  • Physiology 48
  • Mechanical Engineering 235
  • General Materials Science 18
  • Ceramics and Composites 30
  • Materials Chemistry 239
Replace I.A. Bondar with:
I.A. Bondar Russia
Toshio Takenaka Japan
Kuldeep India
T. Žák Czechia
S. Fujiwara Japan
Claudiu Valentin Suciu Japan
Zemin Wang China
Seiichirō Kashū Japan
V. Ya. Shevchenko Russia
Daniel E. Barber relative to I.A. Bondar Russia I.A. Bondar's profile →
Citations per field
00.5×2×3×3.6×
I.A. Bondar · 1×
Citations per year

Countries citing papers authored by Daniel E. Barber

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel E. Barber Line = papers co-authored together Daniel E. Barber links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1993299
2 202068
3 199265
4 202039
5 199134
6 201830
7 201630
8 200925
9 200916
10 199515
11 199613
12 20188
13 20132
14 20151
15 20111

About Daniel E. Barber

Daniel E. Barber is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering and Electronic, Optical and Magnetic Materials, having authored 15 papers that have together received 646 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (5 papers), Vibration Control and Rheological Fluids (3 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) and Magnetic Properties and Applications (2 papers). The work is most often cited by research in Physiology (48 citations), Mechanical Engineering (235 citations), General Materials Science (18 citations), Ceramics and Composites (30 citations) and Materials Chemistry (239 citations). Daniel E. Barber has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include Aaron J. Rulison, Won‐Kyu Rhim, Gary Gutt, Kin F. Man, R. Erik Spjut, Sang K. Chung, J. D. Carlson, Aldo Boglietti, Yujing Liu and Zheng‐Rong Lu. Their work appears in journals such as Inorganic Chemistry, IEEE Transactions on Industry Applications, Review of Scientific Instruments, Journal of Intelligent Material Systems and Structures and IEEE Transactions on Energy Conversion.

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