USGS professional paper
About
The 2.9k papers published in USGS professional paper in the last decades have received a total of 100.7k indexed citations.
Papers published in USGS professional paper usually cover Atmospheric Science (698 papers), Artificial Intelligence (633 papers) and Geophysics (592 papers) specifically the topics of Geology and Paleoclimatology Research (596 papers), Geochemistry and Geologic Mapping (552 papers) and Geological and Geochemical Analysis (419 papers). The most active scholars publishing in USGS professional paper are Luna B. Leopold, Warren Hamilton, R. A. Bagnold, John T. Hack, M. Gordon Wolman, Irving Friedman, James R. O’Neil, Thomas Maddock, Margaret D. Foster and John P. Snyder.
In The Last Decade
Fields of papers published in USGS professional paper
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in USGS professional paper. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in USGS professional paper
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in USGS professional paper. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in USGS professional paper with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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