T. Sousbie

About

T. Sousbie is a scholar working on Astronomy and Astrophysics, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, T. Sousbie has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Astronomy and Astrophysics, 7 papers in Statistical and Nonlinear Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in T. Sousbie’s work include Galaxies: Formation, Evolution, Phenomena (20 papers), Cosmology and Gravitation Theories (9 papers) and Scientific Research and Discoveries (6 papers). T. Sousbie is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (20 papers), Cosmology and Gravitation Theories (9 papers) and Scientific Research and Discoveries (6 papers). T. Sousbie collaborates with scholars based in France, Japan and Canada. T. Sousbie's co-authors include Christophe Pichon, S. Colombi, D. Pogosyan, Hajime Kawahara, Julien Devriendt, Adrianne Slyz, Yohan Dubois, D. Novikov, Stéphane Colombi and S. Prunet and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of T. Sousbie i

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Fields of papers citing papers by T. Sousbie

Since Specialization

EngineeringComputer 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 T. Sousbie. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where T. Sousbie may publish in the future.

Countries citing papers authored by T. Sousbie

Since Specialization

Citations

This map shows the geographic impact of T. Sousbie'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 T. Sousbie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sousbie more than expected).

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