Phillip Wallis
About
Phillip Wallis is a scholar working on Artificial Intelligence, Global and Planetary Change and Molecular Biology.
According to data from OpenAlex, Phillip Wallis has authored 5 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Global and Planetary Change and 1 paper in Molecular Biology. Recurrent topics in Phillip Wallis’s work include Sustainability and Climate Change Governance (2 papers), Topic Modeling (1 paper) and Social Acceptance of Renewable Energy (1 paper). Phillip Wallis is often cited by papers focused on Sustainability and Climate Change Governance (2 papers), Topic Modeling (1 paper) and Social Acceptance of Renewable Energy (1 paper). Phillip Wallis collaborates with scholars based in United States, Australia and Germany. Phillip Wallis's co-authors include Peat Leith, Andrew Harwood, Karyn Bosomworth, Xubo Song and Alexander Kain and has published in prestigious journals such as Environmental Science & Policy.
In The Last Decade
Fields of papers citing papers by Phillip Wallis
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 Phillip Wallis. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Phillip Wallis may publish in the future.
Countries citing papers authored by Phillip Wallis
Since SpecializationCitations
This map shows the geographic impact of Phillip Wallis'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 Phillip Wallis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Wallis more than expected).
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