Brian Dobbins

458 total citations
13 papers, 302 citations indexed

About

Brian Dobbins is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Brian Dobbins has authored 13 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Atmospheric Science. Recurrent topics in Brian Dobbins's work include Optical measurement and interference techniques (5 papers), Surface Roughness and Optical Measurements (5 papers) and Advanced Measurement and Metrology Techniques (4 papers). Brian Dobbins is often cited by papers focused on Optical measurement and interference techniques (5 papers), Surface Roughness and Optical Measurements (5 papers) and Advanced Measurement and Metrology Techniques (4 papers). Brian Dobbins collaborates with scholars based in United Kingdom, China and United States. Brian Dobbins's co-authors include K. Jambunathan, S. Ashforth-Frost, David A. Bailey, Nan Rosenbloom, Jadwiga H. Richter, Walker Lee, Mari R. Tye, Daniele Visioni, Douglas G. MacMartin and Jean‐François Lamarque and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Pattern Recognition Letters and Measurement Science and Technology.

In The Last Decade

Brian Dobbins

13 papers receiving 287 citations

Peers

Brian Dobbins
Alain Sei United States
Yevgenii Rastigejev United States
Jim Howell United States
Silvia Matt United States
Valentin Simeonov Switzerland
Brian Dobbins
Citations per year, relative to Brian Dobbins Brian Dobbins (= 1×) peers T. Maciaszek

Countries citing papers authored by Brian Dobbins

Since Specialization
Citations

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

Fields of papers citing papers by Brian Dobbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Dobbins. 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 Brian Dobbins. The network helps show where Brian Dobbins may publish in the future.

Co-authorship network of co-authors of Brian Dobbins

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Dobbins. A scholar is included among the top collaborators of Brian Dobbins 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 Brian Dobbins. Brian Dobbins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Dennis, John M., Allison H. Baker, Brian Dobbins, et al.. (2022). Enabling efficient execution of a variational data assimilation application. The International Journal of High Performance Computing Applications. 37(2). 101–114. 3 indexed citations
2.
Richter, Jadwiga H., Daniele Visioni, Douglas G. MacMartin, et al.. (2022). Assessing Responses and Impacts of Solar climate intervention on the Earth system with stratospheric aerosol injection (ARISE-SAI): protocol and initial results from the first simulations. Geoscientific model development. 15(22). 8221–8243. 66 indexed citations
3.
Dennis, John M., et al.. (2019). Optimizing the HOMME dynamical core for multicore platforms. The International Journal of High Performance Computing Applications. 33(5). 1030–1045. 2 indexed citations
4.
Lauritzen, P. H., Ramachandran D. Nair, Adam Herrington, et al.. (2018). NCAR Release of CAM‐SE in CESM2.0: A Reformulation of the Spectral Element Dynamical Core in Dry‐Mass Vertical Coordinates With Comprehensive Treatment of Condensates and Energy. Journal of Advances in Modeling Earth Systems. 10(7). 1537–1570. 111 indexed citations
5.
Jambunathan, K., et al.. (1995). Semi-automatic phase shift calibration using digital speckle pattern interferometry. Optics & Laser Technology. 27(3). 145–151. 12 indexed citations
6.
Jambunathan, K., et al.. (1995). An improved cross correlation technique for particle image velocimetry. Measurement Science and Technology. 6(5). 507–514. 86 indexed citations
7.
Dobbins, Brian, et al.. (1993). <title>Fibre optic shape-measuring system using phase-stepping speckle-pattern interferometry</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2088. 104–110. 1 indexed citations
8.
Ashforth-Frost, S., Brian Dobbins, K. Jambunathan, Xiaoping Wu, & X. Ju. (1993). <title>Comparison of interrogation methods for particle image velocimetry</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2005. 478–489. 5 indexed citations
10.
Button, B. L., et al.. (1988). Full-field in situ measurement of local mass transfer coefficient using ESPI with the swollen polymer technique. International Journal of Heat and Mass Transfer. 31(7). 1375–1384. 2 indexed citations
11.
Paler, K., et al.. (1987). Identification of fringe minima in electronic speckle pattern images. Pattern Recognition Letters. 6(1). 33–44. 2 indexed citations
12.
Button, B. L., et al.. (1985). The identification of fringe positions in speckle patterns. Optics & Laser Technology. 17(4). 189–192. 10 indexed citations
13.
Button, B. L. & Brian Dobbins. (1984). Interferometry for in situ mass transfer measurements in a wind tunnel. Experiments in Fluids. 2(4). 203–203. 1 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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