David Beeman
- Ceramics and Composites top 5%
- Glass properties and applications 5
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 11
- Materials Chemistry top 5%
- Phase-change materials and chalcogenides 5
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism 5
- Biophysics top 2%
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- Magnetic properties of thin films 6
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- Magneto-Optical Properties and Applications 4
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- Neural Networks and Applications 4
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- Neuroscience and Neural Engineering 3
David Beeman
42 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Ceramics and Composites 241
- Cognitive Neuroscience 761
- Materials Chemistry 1.5k
- Condensed Matter Physics 357
- Biophysics 146
Countries citing papers authored by David Beeman
This map shows the geographic impact of David Beeman'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 David Beeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Beeman more than expected).
Fields of papers citing papers by David Beeman
This network shows the impact of papers produced by David Beeman. 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 David Beeman. The network helps show where David Beeman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Beeman, 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 | 2019 | 3 | |
| 2 | 2018 | 17 | |
| 3 | 2013 | 2 | |
| 4 | 2007 | 31 | |
| 5 | 2007 | 2 | |
| 6 | 2005 | 3 | |
| 7 | 2004 | 6 | |
| 8 | 2002 | 4 | |
| 9 | 2000 | 2 | |
| 10 | 1999 | 2 | |
| 11 | 1998 | 325 | |
| 12 | Progress in Neuroinformatics | 1997 | 2 |
| 13 | Structural information from the Raman spectrum of amorphous siliconbreakdown → | 1985 | 382 |
| 14 | 1983 | 2 | |
| 15 | 1977 | 1 | |
| 16 | 1977 | 99 | |
| 17 | Some multistep methods for use in molecular dynamics calculationsbreakdown → | 1976 | 738 |
| 18 | 1976 | 3 | |
| 19 | 1966 | 8 | |
| 20 | 1966 | 18 |
About David Beeman
David Beeman is a scholar working on Ceramics and Composites, Cognitive Neuroscience and Condensed Matter Physics, having authored 42 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Magnetic properties of thin films (6 papers), Phase-change materials and chalcogenides (5 papers), Physics of Superconductivity and Magnetism (5 papers), Glass properties and applications (5 papers), Magneto-Optical Properties and Applications (4 papers), Neural Networks and Applications (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Ceramics and Composites (241 citations), Cognitive Neuroscience (761 citations) and Materials Chemistry (1.5k citations). David Beeman has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include James M. Bower, Mark R. Anderson, M. F. Thorpe, J. Silverman, Raphael Tsu, P. Pincus, R. Alben, N. Maley, J. S. Lannin and Nigel Goddard. Their work appears in journals such as BMC Neuroscience, Physical review. B, Condensed matter, Neurocomputing, Journal of Applied Physics and Journal of Non-Crystalline Solids.
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.