C. M. Brown

8.6k total citations · 1 hit paper
266 papers, 5.4k citations indexed

About

C. M. Brown is a scholar working on Atomic and Molecular Physics, and Optics, Mechanics of Materials and Plant Science. According to data from OpenAlex, C. M. Brown has authored 266 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Atomic and Molecular Physics, and Optics, 54 papers in Mechanics of Materials and 53 papers in Plant Science. Recurrent topics in C. M. Brown's work include Atomic and Molecular Physics (74 papers), Laser-induced spectroscopy and plasma (52 papers) and Ionosphere and magnetosphere dynamics (31 papers). C. M. Brown is often cited by papers focused on Atomic and Molecular Physics (74 papers), Laser-induced spectroscopy and plasma (52 papers) and Ionosphere and magnetosphere dynamics (31 papers). C. M. Brown collaborates with scholars based in United States, United Kingdom and Japan. C. M. Brown's co-authors include M. L. Ginter, U. Feldman, J. F. Seely, S. G. Tilford, Birdwell Finlayson, Lynwood H. Smith, P. G. Werness, Jan Ekberg, Christoph R. Englert and Hirohisa Hara and has published in prestigious journals such as Nature, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

C. M. Brown

251 papers receiving 5.0k citations

Hit Papers

Equil2: A Basic Computer Program for the Calculation of U... 1985 2026 1998 2012 1985 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. M. Brown United States 40 2.2k 1.0k 984 823 637 266 5.4k
Sune Svanberg Sweden 50 3.1k 1.5× 395 0.4× 1.2k 1.2× 2.5k 3.0× 442 0.7× 483 10.6k
N. J. Mason United Kingdom 44 6.2k 2.9× 1.4k 1.3× 651 0.7× 2.4k 2.9× 724 1.1× 556 10.6k
Thomas Märshall United States 47 1.1k 0.5× 3.8k 3.7× 90 0.1× 451 0.5× 167 0.3× 395 7.9k
M. Paul Israel 36 955 0.4× 641 0.6× 85 0.1× 382 0.5× 1.5k 2.4× 284 4.6k
James B. Anderson United States 43 4.1k 1.9× 202 0.2× 279 0.3× 910 1.1× 97 0.2× 183 7.2k
C. Böttcher United States 36 3.8k 1.7× 113 0.1× 568 0.6× 1.5k 1.8× 380 0.6× 171 7.8k
K. A. Smith United States 43 2.2k 1.0× 319 0.3× 306 0.3× 1.0k 1.3× 320 0.5× 172 6.1k
M. Allen United States 39 1.4k 0.7× 3.7k 3.6× 1.1k 1.1× 600 0.7× 163 0.3× 173 6.7k
Richard Thomas Sweden 30 2.0k 0.9× 1.1k 1.0× 97 0.1× 1.4k 1.7× 196 0.3× 223 3.7k
A. G. Smith United Kingdom 37 824 0.4× 235 0.2× 113 0.1× 195 0.2× 946 1.5× 239 5.5k

Countries citing papers authored by C. M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by C. M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Brown. A scholar is included among the top collaborators of C. M. Brown 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 C. M. Brown. C. M. Brown 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.
Franco, Jessica, C. M. Brown, H. Mojtahedi, et al.. (2023). Diagnostic Molecular Markers for Identification of Different Races and a Pathotype of Columbia Root Knot Nematode. SHILAP Revista de lepidopterología. 3(1). 199–205. 3 indexed citations
2.
Nicholas, A. C., et al.. (2019). Lightsheet Sensor for the Detection of Orbital Debris. 2109. 6036. 2 indexed citations
4.
Strachan, L., J. M. Laming, Yuan‐Kuen Ko, et al.. (2017). The Ultraviolet Spectro-Coronagraph (UVSC) Pathfinder Experiment for the Remote Detection of Suprathermal Seed Particles: Instrument Status.
5.
Cruddace, R. G., Michael Kowalski, D. Yentis, et al.. (2009). High resolution spectroscopy of G191-B2B in the extreme-Ultraviolet. Leicester Research Archive (University of Leicester). 4 indexed citations
6.
Korendyke, C. M., C. M. Brown, Roger J. Thomas, et al.. (2006). Optics and mechanisms for the Extreme-Ultraviolet Imaging Spectrometer on the Solar-B satellite. Applied Optics. 45(34). 8674–8674. 53 indexed citations
8.
Harlander, John M., F. L. Roesler, Christoph R. Englert, et al.. (2003). Robust monolithic ultraviolet interferometer for the SHIMMER instrument on STPSat-1. Applied Optics. 42(15). 2829–2829. 52 indexed citations
9.
Mariska, J. T., C. M. Brown, K. P. Dere, et al.. (2003). Expected performance of the extreme ultraviolet imaging spectrometer on Solar-B. UCL Discovery (University College London). 34. 1 indexed citations
10.
Bartges, Joseph W., C. A. Osborne, Jody P. Lulıch, et al.. (1999). Methods for Evaluating Treatment of Uroliths. Veterinary Clinics of North America Small Animal Practice. 29(1). 45–57. 20 indexed citations
11.
Sylwester, J., Michael A. Nowak, William E. Bentley, et al.. (1998). RESIK: High Sensitivity Soft X-ray Spectrometer for the Study of Solar Flare Plasma. ESASP. 417. 313. 2 indexed citations
12.
Brown, C. M., D L Purich, & Daniel Ackermann. (1994). EQUIL 93: a tool for experimental and clinical urolithiasis. Urological Research. 22(2). 119–126. 61 indexed citations
13.
Brown, C. M., Kurt S. Stenn, Ronald J. Falk, David T. Woodley, & Edward J. O’Keefe. (1991). Vitronectin: Effects on Keratinocyte Motility and Inhibition of Collagen-Induced Motility. Journal of Investigative Dermatology. 96(5). 724–728. 36 indexed citations
14.
Brown, C. M. & Daniel L. Purich. (1991). Strong Inference in Mechanistic Urolithiasis: A Tribute to Birdwell Finlayson's Biophysical Contributions. American Journal of Kidney Diseases. 17(4). 451–457. 2 indexed citations
15.
Chilbert, M., Dennis J. Maiman, James J. Ackmann, et al.. (1990). Determination of Tissue Viability in Experimental Electrical Injuries. Journal of Burn Care & Rehabilitation. 11(6). 516–525. 2 indexed citations
16.
Brown, C. M., et al.. (1982). Diallel Analyses for Tolerance in Winter Wheat to the Barley Yellow Dwarf Virus1. Crop Science. 22(2). 328–333. 16 indexed citations
17.
Jensik, Robert J., L. Penfield Faber, C. M. Brown, & C. Frederick Kittle. (1974). Bronchoplastic and conservative resectional procedures for bronchial adenoma. Journal of Thoracic and Cardiovascular Surgery. 68(4). 556–565. 34 indexed citations
18.
Hymowitz, T., J. W. Dudley, F. I. Collins, & C. M. Brown. (1974). Estimations of Protein and Oil Concentration in Corn, Soybean, and Oat Seed by Near‐Infrared Light Reflectance1. Crop Science. 14(5). 713–715. 100 indexed citations
19.
Ashworth, L. J., et al.. (1969). Infection of cotton by Aspergillus flavus : the influences of temperature and aeration.. Phytopathology. 59(5). 669–673. 11 indexed citations
20.
Brown, C. M., et al.. (1968). Aflatoxins in cotton seeds: influence of weathering on toxin content of seeds and on a method for mechanically sorting seed lots.. Phytopathology. 58(1). 12 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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