G.C. Salzman

1.8k total citations
51 papers, 1.3k citations indexed

About

G.C. Salzman is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, G.C. Salzman has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 11 papers in Biomedical Engineering and 8 papers in Spectroscopy. Recurrent topics in G.C. Salzman's work include Quantum, superfluid, helium dynamics (6 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Single-cell and spatial transcriptomics (5 papers). G.C. Salzman is often cited by papers focused on Quantum, superfluid, helium dynamics (6 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Single-cell and spatial transcriptomics (5 papers). G.C. Salzman collaborates with scholars based in United States, Germany and Norway. G.C. Salzman's co-authors include Randy Hiebert, J. M. Crowell, P. F. Mullaney, Shermila Brito Singham, John C. Martin, Carleton C. Stewart, James H. Jett, Tudor N. Buican, Harry A. Crissman and Miriam J. Smyth and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Nature Biotechnology.

In The Last Decade

G.C. Salzman

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G.C. Salzman United States 20 461 337 298 178 115 51 1.3k
Gregory H. Bearman United States 17 305 0.7× 266 0.8× 387 1.3× 322 1.8× 53 0.5× 56 1.6k
D. Melville United Kingdom 27 501 1.1× 724 2.1× 278 0.9× 57 0.3× 104 0.9× 63 2.5k
A. Miller United Kingdom 22 223 0.5× 305 0.9× 226 0.8× 31 0.2× 33 0.3× 66 1.6k
Phillip N. Dean United States 19 281 0.6× 935 2.8× 47 0.2× 162 0.9× 168 1.5× 50 2.2k
Nobuhiko Saitô Japan 27 202 0.4× 758 2.2× 566 1.9× 38 0.2× 32 0.3× 120 2.4k
M. A. Van Dilla United States 28 280 0.6× 1.1k 3.2× 39 0.1× 148 0.8× 80 0.7× 58 2.4k
Roberto Cerbino Italy 33 1.0k 2.2× 825 2.4× 530 1.8× 256 1.4× 15 0.1× 79 3.3k
Eric A. Wachter United States 20 763 1.7× 229 0.7× 1.1k 3.7× 121 0.7× 136 1.2× 70 2.5k
Stefano Cavalieri Italy 25 203 0.4× 199 0.6× 968 3.2× 46 0.3× 94 0.8× 189 2.3k
Ikuo Watanabe Japan 20 150 0.3× 528 1.6× 142 0.5× 17 0.1× 52 0.5× 140 1.5k

Countries citing papers authored by G.C. Salzman

Since Specialization
Citations

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

Fields of papers citing papers by G.C. Salzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.C. Salzman. 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 G.C. Salzman. The network helps show where G.C. Salzman may publish in the future.

Co-authorship network of co-authors of G.C. Salzman

This figure shows the co-authorship network connecting the top 25 collaborators of G.C. Salzman. A scholar is included among the top collaborators of G.C. Salzman 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 G.C. Salzman. G.C. Salzman 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.
Salzman, G.C., et al.. (2005). Electronic Asthma Action Plan Database: Asthma Action Plan Development Using Microsoft Access. Journal of Asthma. 42(3). 191–196. 3 indexed citations
2.
Seamer, Larry C., C. Bruce Bagwell, Doug Redelman, et al.. (1997). Proposed new data file standard for flow cytometry, version FCS 3.0. Cytometry. 28(2). 118–122. 59 indexed citations
3.
Beckman, Richard J., G.C. Salzman, & Carleton C. Stewart. (1995). Classification and regression trees for bone marrow immunophenotyping. Cytometry. 20(3). 210–217. 19 indexed citations
4.
Salzman, G.C., et al.. (1993). AutoGate: A Macintosh cluster analysis program for flow cytometry data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6. 2 indexed citations
5.
Salzman, G.C., et al.. (1990). Optimum particle size of titanium dioxide and zinc oxide for attenuation of ultraviolet radiation. Journal of Coatings Technology. 62(789). 95–98. 21 indexed citations
6.
Dean, Phillip N., C. Bruce Bagwell, Tore Lindmo, Robert F. Murphy, & G.C. Salzman. (1990). Introduction to flow cytometry data file standard. Cytometry. 11(3). 321–322. 23 indexed citations
7.
Buican, Tudor N., Miriam J. Smyth, Harry A. Crissman, et al.. (1987). Automated single-cell manipulation and sorting by light trapping. Applied Optics. 26(24). 5311–5311. 170 indexed citations
8.
Edmondson, Stephen P. & G.C. Salzman. (1987). Circular Dichroism, Linear Dichroism, and Dual-Beam Absorption Measurements with a Commercial Spectropolarimeter in the Vacuum UV Spectral Region. Applied Spectroscopy. 41(6). 1075–1078. 1 indexed citations
9.
Singham, Shermila Brito & G.C. Salzman. (1986). Evaluation of the scattering matrix of an arbitrary particle using the coupled dipole approximation. The Journal of Chemical Physics. 84(5). 2658–2667. 57 indexed citations
10.
Salzman, G.C. & Charles T. Gregg. (1984). Current and Experimental Methods of Rapid Microbial Identification. Nature Biotechnology. 2(3). 243–248. 14 indexed citations
11.
Salzman, G.C., J K Griffith, & Charles T. Gregg. (1982). Rapid identification of microorganisms by circular-intensity differential scattering. Applied and Environmental Microbiology. 44(5). 1081–1085. 19 indexed citations
12.
Hiebert, Randy, James H. Jett, & G.C. Salzman. (1981). Modular electronics for flow cytometry and sorting: The LACEL system. Cytometry. 1(5). 337–341. 41 indexed citations
13.
Salzman, G.C., et al.. (1981). Modular computer programs for flow cytometry and sorting: The LACEL system. Cytometry. 1(5). 325–336. 48 indexed citations
14.
Salzman, G.C., Douglas E. Burger, & Marty F. Bartholdi. (1977). Light scattering from single particles and biological cells in a flow system (A). Journal of the Optical Society of America A. 67. 1382. 1 indexed citations
15.
Cheng, Yang, A. Goswami, O. Nalcioǧlu, et al.. (1977). A surface-delta description of analyzing power measurements for collective states of Ni and Zn isotopes. Nuclear Physics A. 283(3). 475–492. 11 indexed citations
16.
Salzman, G.C., J. M. Crowell, & P. F. Mullaney. (1975). Flow-system multi-angle light-scattering instrument for biological cell characterization (A). Journal of the Optical Society of America A. 65. 1170. 2 indexed citations
17.
Cheng, Yang, D.K. McDaniels, L. W. Swenson, et al.. (1975). Inelastic Proton Scattering as a Test of Surface-Delta Wave Functions. Physical Review Letters. 35(1). 16–19. 9 indexed citations
18.
Crowell, J. M., G.C. Salzman, P. F. Mullaney, & Juan Carlos Gómez Martı́n. (1974). High-speed optical analysis of microscopic particles. STIN. 75. 22695. 3 indexed citations
19.
Jarmer, J. J., John C. Martin, G.G. Ohlsen, G.C. Salzman, & J. E. Simmons. (1974). Longitudinal polarization transfer in the reaction. Physics Letters B. 48(3). 215–217. 4 indexed citations
20.
Salzman, G.C., John C. Martin, J. J. Jarmer, et al.. (1973). Longitudinal polarization transfer in the reaction at 0°. Physics Letters B. 45(2). 123–126. 10 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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