John Lambert
About
John Lambert is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering.
According to data from OpenAlex, John Lambert has authored 12 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Automotive Engineering. Recurrent topics in John Lambert’s work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Malware Detection Techniques (2 papers). John Lambert is often cited by papers focused on Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Malware Detection Techniques (2 papers). John Lambert collaborates with scholars based in United States, Finland and Australia. John Lambert's co-authors include James Hays, Jagjeet Singh, Peter Carr, Deva Ramanan, Andrew T. Hartnett, Sławomir Bąk, Simon Lucey, Ming-Fang Chang, Patsorn Sangkloy and Wang De and has published in prestigious journals such as Journal of the Franklin Institute, International Journal of Engineering Science and JCMS Journal of Common Market Studies.
In The Last Decade
Co-authorship network of co-authors of John Lambert i
Fields of papers citing papers by John Lambert
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 John Lambert. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where John Lambert may publish in the future.
Countries citing papers authored by John Lambert
Since SpecializationCitations
This map shows the geographic impact of John Lambert'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 John Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Lambert more than expected).
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