The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Jonathan Lees sits on this spectrum.
This scientist: 174 publications — 49th percentile
49% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 510 publications or more.
The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jonathan Lees sits on this spectrum.
This scientist: 44 D-Index — 40th percentile
40% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 94 D-Index or more.
Jonathan Lees is affiliated with Cardiff University in the United Kingdom and conducts research primarily in Earth and Planetary Sciences with a focus on Geophysics. Their work spans several subfields, including Artificial Intelligence, Atmospheric Science, Control and Systems Engineering, and Ecology. The predominant topics addressed in their research include seismic waves and analysis, earthquake detection and analysis, seismology and earthquake studies, landslides and related hazards, noise effects and management, animal vocal communication and behavior, and marine animal studies overview.
Lees has published papers in a range of scientific venues. Frequent publication outlets include UNC Libraries, The Journal of the Acoustical Society of America, Frontiers in Conservation Science, Volcanica, and the Bulletin of Volcanology. Their research contributions cover diverse areas of geophysical phenomena and related acoustic studies.
Some of the recent papers authored or coauthored by Jonathan Lees are:
Lees frequently collaborates with several researchers across their projects. The most common coauthors include Oliver D. Lamb, Michael Shore, Stephen J. Lee, Elijah Bird, and Daniel Bowman. These collaborative efforts contribute to multidisciplinary approaches within geophysics and acoustic monitoring.
Their research often involves the investigation of seismic and acoustic signals related to volcanic activity, human activity monitoring through infrasound, fluid-induced earthquakes, and animal vocalizations. The integration of artificial intelligence techniques is evident in several studies, reflecting a blend of computational and earth science methodologies.
G. Werner-Allen;K. Lorincz;M. Ruiz;O. Marcillo
Michael E. Mann;Jonathan M. Lees
Geoff Werner-Allen;Konrad Lorincz;Jeff Johnson;Jonathan Lees
G. Werner-Allen;J. Johnson;M. Ruiz;J. Lees
G. M. Yogodzinski;J. M. Lees;T. G. Churikova;F. Dorendorf
Jonathan M. Lees;Robert S. Crosson
Jonathan M. Lees
Valerie Peyton;Vadim Levin;Jeffrey Park;Mark Brandon
Jonathan M. Lees;Jeffrey Park
Robert Fischer;Jonathan M. Lees
J.B Johnson;J.M Lees
Jonathan M. Lees
Vadim Levin;Jeffrey Park;Mark Brandon;Jonathan Lees
Jonathan M. Lees;Grant T. Lindley
J.B. Johnson;R.C. Aster;M.C. Ruiz;S.D. Malone
Jeffrey B. Johnson;Jonathan M. Lees;Alexander Gerst;Dork Sahagian
Jonathan M. Lees;Peter E. Malin
Jonathan M. Lees
J. M. Lees;J. C. VanDecar
John C. Eichelberger;Evgenii Gordeev;Pavel Izbekov;Minoru Kasahara
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