Philipp Seidl
About
Philipp Seidl is a scholar working on Materials Chemistry, Artificial Intelligence and Computational Theory and Mathematics.
According to data from OpenAlex, Philipp Seidl has authored 7 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Philipp Seidl’s work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (3 papers) and Machine Learning in Healthcare (2 papers). Philipp Seidl is often cited by papers focused on Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (3 papers) and Machine Learning in Healthcare (2 papers). Philipp Seidl collaborates with scholars based in Austria, United States and United Kingdom. Philipp Seidl's co-authors include Sepp Hochreiter, Philipp Renz, Günter Klambauer, Marwin Segler, Jörg K. Wegner, Jonas Verhoeven, Natalia Dyubankova, Andreu Vall, Markus Hofmarcher and Andreas Mayr and has published in prestigious journals such as Journal of Chemical Information and Modeling, Faraday Discussions and Journal of Clinical Anesthesia.
In The Last Decade
Co-authorship network of co-authors of Philipp Seidl i
Fields of papers citing papers by Philipp Seidl
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 Philipp Seidl. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Philipp Seidl may publish in the future.
Countries citing papers authored by Philipp Seidl
Since SpecializationCitations
This map shows the geographic impact of Philipp Seidl'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 Philipp Seidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Seidl more than expected).
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