John Langford

93 papers and 11.3k indexed citations i.

About

John Langford is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Langford has authored 93 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 28 papers in Management Science and Operations Research and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Langford’s work include Machine Learning and Algorithms (41 papers), Advanced Bandit Algorithms Research (26 papers) and Machine Learning and Data Classification (19 papers). John Langford is often cited by papers focused on Machine Learning and Algorithms (41 papers), Advanced Bandit Algorithms Research (26 papers) and Machine Learning and Data Classification (19 papers). John Langford collaborates with scholars based in United States, United Kingdom and Canada. John Langford's co-authors include Joshua B. Tenenbaum, Vin de Silva, Alina Beygelzimer, Sham M. Kakade, Bianca Zadrozny, Tong Zhang, Naoki Abe, Luis von Ahn, Alex Smola and Manuel Blum and has published in prestigious journals such as Science, Proceedings of the IEEE and Physical Review A.

In The Last Decade

Co-authorship network of co-authors of John Langford i

Fields of papers citing papers by John Langford

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

Countries citing papers authored by John Langford

Since Specialization
Citations

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

Rankless by CCL
2025