M. J. S. Johnston is affiliated with the United States Geological Survey in the United States. Their research output spans multiple fields including Biochemistry, Genetics and Molecular Biology, Environmental Science, and Computer Science. This multidisciplinary approach is reflected in their focus on both biological and computational domains.
The scientist's work involves several specialized subfields, notably Developmental Biology, Ecology, and Signal Processing. These areas align with the broader scientific disciplines they engage with, demonstrating an integration of life science and analytical techniques.
Among the main topics addressed in their research are Animal Vocal Communication and Behavior, Marine animal studies overview, and Music and Audio Processing. These topics indicate a strong interest in understanding biological communication mechanisms and acoustic phenomena in both terrestrial and marine environments.
Johnston has contributed to the academic literature with publications in peer-reviewed journals. One of their recorded papers is titled "Roars, groans and moans: Anatomical correlates of vocal diversity in polygynous deer", published in 2021 in the Journal of Anatomy. This paper explores the anatomical bases of vocal variability in a specific group of animals and has garnered attention in the scientific community.
Their frequent coauthors include a range of researchers who collaborate across these intersecting research themes. These coauthors are Roland Frey, Megan T. Wyman, Michael Schofield, Yann Locatelli, and David Reby, each contributing to the development and expansion of their shared areas of study.
Johnston's publications appear most often in the Journal of Anatomy, indicating a focus on anatomical and physiological aspects within their research scope.
The combination of their affiliations, topics, and collaborative connections positions M. J. S. Johnston within a network of researchers dedicated to advancing knowledge in animal behavior, physiology, and computational analysis related to biological signals.
D. P. Hill;P.A. Reasenberg;A. Michael;W.J. Arabaz
W. H. Bakun;B. Aagaard;B. Dost;W. L. Ellsworth
Alan T. Linde;Michael T. Gladwin;Malcolm J. S. Johnston;Ross L. Gwyther
John E. Vidale;Duncan Carr Agnew;Malcolm J. S. Johnston;David H. Oppenheimer
S. G. Prejean;D. P. Hill;E. E. Brodsky;S. E. Hough
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John Langbein;Roger Borcherdt;Douglas Dreger;Joe Fletcher
M. Lisowski;W. H. Prescott;J. C. Savage;M. J. Johnston
D. P. Hill;W. L. Ellsworth;M. J. S. Johnston;J. O. Langbein
Alan T. Linde;I. Selwyn Sacks;Malcolm J. S. Johnston;David P. Hillt
D. A. Lockner;M. J. S. Johnston;J. D. Byerlee
R.D. Borcherdt;Joe B. Fletcher;E.G. Jensen;G.L. Maxwell
David P. Hill;Malcolm J. S. Johnston;John O. Langbein;Roger Bilham
M. J. S. Johnston;R. D. Borcherdt;A. T. Linde;M. T. Gladwin
M.J.S. Johnston;A.T. Linde;M.T. Gladwin;R.D. Borcherdt
Egill Hauksson;Lucile M. Jones;Thomas L. Davis;L. Katherine Hutton
M. J. S. Johnston;R. J. Mueller
Jeremy N. Thomas;Jeremy N. Thomas;Jeffrey J. Love;Malcolm J. S. Johnston;Kiyohumi Yumoto
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Peter Jenniskens;Peter Jenniskens;Alan E. Rubin;Qing‐Zhu Yin;Derek W. G. Sears
Margaret S. Boettcher;Margaret S. Boettcher;Arthur F. McGarr;Malcolm J. S. Johnston
M. J. S. Johnston;J. D. Byerlee;D. Lockner
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