D. Murray Campbell

903 total citations
35 papers, 584 citations indexed

About

D. Murray Campbell is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, D. Murray Campbell has authored 35 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in D. Murray Campbell's work include Music Technology and Sound Studies (10 papers), Lattice Boltzmann Simulation Studies (5 papers) and Electron and X-Ray Spectroscopy Techniques (5 papers). D. Murray Campbell is often cited by papers focused on Music Technology and Sound Studies (10 papers), Lattice Boltzmann Simulation Studies (5 papers) and Electron and X-Ray Spectroscopy Techniques (5 papers). D. Murray Campbell collaborates with scholars based in United Kingdom, France and Australia. D. Murray Campbell's co-authors include Clive Greated, James M. Buick, Péter Faragó, Hans Kleinpoppen, John A. Cosgrove, B. Reihl, M. Erbudak, Joël Gilbert, John Chick and Stefano Rossi and has published in prestigious journals such as Nature, Physical review. B, Condensed matter and Physics Today.

In The Last Decade

D. Murray Campbell

35 papers receiving 549 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Murray Campbell United Kingdom 15 195 182 155 124 88 35 584
Jack D. Gaskill United States 5 61 0.3× 229 1.3× 152 1.0× 142 1.1× 51 0.6× 14 543
Michael Kühn Germany 11 148 0.8× 139 0.8× 56 0.4× 152 1.2× 29 0.3× 34 391
S. Lowenthal France 13 98 0.5× 262 1.4× 215 1.4× 121 1.0× 22 0.3× 39 636
Joseph C. Marron United States 14 60 0.3× 357 2.0× 135 0.9× 98 0.8× 41 0.5× 35 616
Peter D. Gianino United States 12 66 0.3× 565 3.1× 257 1.7× 389 3.1× 76 0.9× 44 1.1k
Marija S. Scholl Mexico 16 130 0.7× 170 0.9× 151 1.0× 176 1.4× 135 1.5× 63 577
R.A. Boie United States 14 39 0.2× 233 1.3× 77 0.5× 185 1.5× 34 0.4× 29 784
George Bissinger United States 19 58 0.3× 266 1.5× 120 0.8× 16 0.1× 52 0.6× 72 870
S. I. Hariharan United States 15 208 1.1× 176 1.0× 101 0.7× 422 3.4× 123 1.4× 81 783
A. F. Milton United States 18 84 0.4× 526 2.9× 101 0.7× 1.0k 8.3× 167 1.9× 44 1.4k

Countries citing papers authored by D. Murray Campbell

Since Specialization
Citations

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

Fields of papers citing papers by D. Murray Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Murray Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of D. Murray Campbell. A scholar is included among the top collaborators of D. Murray Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Murray Campbell. D. Murray Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Campbell, D. Murray, et al.. (2016). Validation of brass wind instrument radiation models in relation to their physical accuracy using an optical schlieren imaging setup. Proceedings of meetings on acoustics. 2 indexed citations
2.
Newton, Michael, et al.. (2015). The Tintignac carnyx: An acoustical study of an early brasswind instrument. The Journal of the Acoustical Society of America. 138(3_Supplement). 1913–1913. 1 indexed citations
3.
Campbell, D. Murray. (2014). Evaluating musical instruments. Physics Today. 67(4). 35–40. 9 indexed citations
4.
Myers, Arnold, et al.. (2012). Effects of nonlinear sound propagation on the characteristic timbres of brass instruments. The Journal of the Acoustical Society of America. 131(1). 678–688. 20 indexed citations
5.
Buick, James M., et al.. (2011). Investigation of non-linear acoustic losses at the open end of a tube. The Journal of the Acoustical Society of America. 129(3). 1261–1272. 27 indexed citations
6.
Walstijn, Maarten van, et al.. (2010). Time domain wave separation using multiple microphones. The Journal of the Acoustical Society of America. 128(1). 195–205. 16 indexed citations
7.
Newton, Michael, et al.. (2009). Trombone bore optimization based on input impedance targets. The Journal of the Acoustical Society of America. 125(4). 2404–2412. 12 indexed citations
8.
Campbell, D. Murray. (2007). Lord Rayleigh: A master of theory and experiment in acoustics. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 28(4). 215–218. 2 indexed citations
9.
Cosgrove, John A., James M. Buick, D. Murray Campbell, & Clive Greated. (2004). Numerical simulation of particle motion in an ultrasound field using the lattice Boltzmann model. Ultrasonics. 43(1). 21–25. 25 indexed citations
10.
Cosgrove, John A., et al.. (2003). Application of the lattice Boltzmann method to transition in oscillatory channel flow. Journal of Physics A Mathematical and General. 36(10). 2609–2620. 60 indexed citations
11.
MacGillivray, Tom, et al.. (2003). The development of a microphone calibration technique using photon correlation spectroscopy.. 89(2). 369–376. 10 indexed citations
12.
Greated, Clive, et al.. (1999). LDA measurement of sound: amplitude modulation of laser Doppler signals. Measurement Science and Technology. 10(9). 812–823. 12 indexed citations
13.
Buick, James M., D. Murray Campbell, & Clive Greated. (1998). Lattice Boltzmann methods in acoustics. The Journal of the Acoustical Society of America. 103(5_Supplement). 2975–2975. 1 indexed citations
14.
Campbell, D. Murray, et al.. (1998). Analysis of the Sound of Chilean Pifilca Flutes. The Galpin Society Journal. 51. 51–51. 5 indexed citations
15.
Duncan, A. J., et al.. (1996). Doubly differential cross sections for the ionization of the molecule by electron impact. Journal of Physics B Atomic Molecular and Optical Physics. 29(9). 1849–1859. 5 indexed citations
16.
Campbell, D. Murray & Hans Kleinpoppen. (1996). Selected Topics on Electron Physics. CERN Document Server (European Organization for Nuclear Research). 36 indexed citations
17.
Campbell, D. Murray, et al.. (1994). Acoustic pulse reflectometry in musical wind instrument research. Journal de Physique IV (Proceedings). 4(C5). C5–657. 2 indexed citations
18.
Campbell, D. Murray & Péter Faragó. (1987). Electron optic dichroism in camphor. Journal of Physics B Atomic and Molecular Physics. 20(19). 5133–5143. 21 indexed citations
19.
Reihl, B., M. Erbudak, & D. Murray Campbell. (1979). Production of spin-polarized electrons by photoemission from GaAs(110). Physical review. B, Condensed matter. 19(12). 6358–6366. 46 indexed citations
20.
Campbell, D. Murray, et al.. (1971). A source of polarized electrons using spin exchange. Physics Letters A. 36(6). 449–450. 17 indexed citations

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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