Paul Swoboda
About
Paul Swoboda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications.
According to data from OpenAlex, Paul Swoboda has authored 25 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Networks and Communications. Recurrent topics in Paul Swoboda’s work include Machine Learning and Algorithms (9 papers), Bayesian Modeling and Causal Inference (9 papers) and Graph Theory and Algorithms (7 papers). Paul Swoboda is often cited by papers focused on Machine Learning and Algorithms (9 papers), Bayesian Modeling and Causal Inference (9 papers) and Graph Theory and Algorithms (7 papers). Paul Swoboda collaborates with scholars based in Germany, Austria and United States. Paul Swoboda's co-authors include Bogdan Savchynskyy, Florian Bernard, Christoph Schnörr, Dagmar Kainmüller, Christian Theobalt, Bodo Rosenhahn, Roberto Henschel, Bjoern Andres, Jörg Hendrik Kappes and Carsten Rother and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Imaging Sciences and Journal of Mathematical Imaging and Vision.
In The Last Decade
Co-authorship network of co-authors of Paul Swoboda i
Fields of papers citing papers by Paul Swoboda
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 Paul Swoboda. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Paul Swoboda may publish in the future.
Countries citing papers authored by Paul Swoboda
Since SpecializationCitations
This map shows the geographic impact of Paul Swoboda'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 Paul Swoboda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Swoboda more than expected).
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