Dan S. Long
About
Dan S. Long is a scholar working on Plant Science, Environmental Engineering and Soil Science.
According to data from OpenAlex, Dan S. Long has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 25 papers in Environmental Engineering and 21 papers in Soil Science. Recurrent topics in Dan S. Long’s work include Remote Sensing in Agriculture (20 papers), Soil Carbon and Nitrogen Dynamics (18 papers) and Soil Geostatistics and Mapping (15 papers). Dan S. Long is often cited by papers focused on Remote Sensing in Agriculture (20 papers), Soil Carbon and Nitrogen Dynamics (18 papers) and Soil Geostatistics and Mapping (15 papers). Dan S. Long collaborates with scholars based in United States, China and Canada. Dan S. Long's co-authors include Jan U.H. Eitel, John D. Williams, J. McCallum, Lina Sha and Richard E. Engel and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Journal of Hazardous Materials.
In The Last Decade
Fields of papers citing papers by Dan S. Long
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 citing the papers produced by Dan S. Long. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dan S. Long may publish in the future.
Countries citing papers authored by Dan S. Long
Since SpecializationCitations
This map shows the geographic impact of Dan S. Long'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 Dan S. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan S. Long more than expected).
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