Michael Goesele
About
Michael Goesele is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics.
According to data from OpenAlex, Michael Goesele has authored 100 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 53 papers in Computer Graphics and Computer-Aided Design and 19 papers in Computational Mechanics. Recurrent topics in Michael Goesele’s work include Advanced Vision and Imaging (54 papers), Computer Graphics and Visualization Techniques (52 papers) and 3D Surveying and Cultural Heritage (19 papers). Michael Goesele is often cited by papers focused on Advanced Vision and Imaging (54 papers), Computer Graphics and Visualization Techniques (52 papers) and 3D Surveying and Cultural Heritage (19 papers). Michael Goesele collaborates with scholars based in Germany, United States and United Kingdom. Michael Goesele's co-authors include Simon Fuhrmann, Hans‐Peter Seidel, Steven M. Seitz, Brian Curless, Hendrik P. A. Lensch, Noah Snavely, Wolfgang Heidrich, Jens Ackermann, Hugues Hoppe and Fabian Langguth and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and BMC Bioinformatics.
In The Last Decade
Co-authorship network of co-authors of Michael Goesele i
Fields of papers citing papers by Michael Goesele
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 Michael Goesele. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Goesele may publish in the future.
Countries citing papers authored by Michael Goesele
Since SpecializationCitations
This map shows the geographic impact of Michael Goesele'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 Michael Goesele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Goesele more than expected).
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