David Fee

123 papers and 2.8k indexed citations i.

About

David Fee is a scholar working on Geophysics, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, David Fee has authored 123 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Geophysics, 42 papers in Artificial Intelligence and 25 papers in Atmospheric Science. Recurrent topics in David Fee’s work include Seismic Waves and Analysis (99 papers), Earthquake Detection and Analysis (44 papers) and Seismology and Earthquake Studies (40 papers). David Fee is often cited by papers focused on Seismic Waves and Analysis (99 papers), Earthquake Detection and Analysis (44 papers) and Seismology and Earthquake Studies (40 papers). David Fee collaborates with scholars based in United States, United Kingdom and Japan. David Fee's co-authors include Robin S. Matoza, Milton Garcés, M. M. Haney, J. J. Lyons, Andrea Steffke, Alexandra M. Iezzi, D. J. Schneider, Keehoon Kim, T. M. Lopez and M. R. Patrick and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Earth and Planetary Science Letters.

In The Last Decade

Co-authorship network of co-authors of David Fee i

Fields of papers citing papers by David Fee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Fee

Since Specialization
Citations

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

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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2025