Julian Laub

5 papers and 228 indexed citations i.

About

Julian Laub is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Julian Laub has authored 5 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Julian Laub’s work include Face and Expression Recognition (3 papers), Morphological variations and asymmetry (1 paper) and Analytical Chemistry and Chromatography (1 paper). Julian Laub is often cited by papers focused on Face and Expression Recognition (3 papers), Morphological variations and asymmetry (1 paper) and Analytical Chemistry and Chromatography (1 paper). Julian Laub collaborates with scholars based in Germany and Switzerland. Julian Laub's co-authors include Klaus‐Robert Müller, Volker Röth, Joachim M. Buhmann, Sebastian Mika and Timon Schroeter and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of Machine Learning Research.

In The Last Decade

Fields of papers citing papers by Julian Laub

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

Countries citing papers authored by Julian Laub

Since Specialization
Citations

This map shows the geographic impact of Julian Laub'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 Julian Laub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Laub more than expected).

Rankless by CCL
2025