Jonathan Niles‐Weed
About
Jonathan Niles‐Weed is a scholar working on Applied Mathematics, Statistics and Probability and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Jonathan Niles‐Weed has authored 20 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Applied Mathematics, 6 papers in Statistics and Probability and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Niles‐Weed’s work include Point processes and geometric inequalities (7 papers), Markov Chains and Monte Carlo Methods (4 papers) and Optimal Transport in Geometry and Analysis (4 papers). Jonathan Niles‐Weed is often cited by papers focused on Point processes and geometric inequalities (7 papers), Markov Chains and Monte Carlo Methods (4 papers) and Optimal Transport in Geometry and Analysis (4 papers). Jonathan Niles‐Weed collaborates with scholars based in United States, Canada and Switzerland. Jonathan Niles‐Weed's co-authors include Philippe Rigollet, Afonso S. Bandeira, Jason M. Altschuler, Amelia Perry, Joe Kileel, Alexander S. Wein, Sheng Liu, Eustasio del Barrio, Yury Polyanskiy and Kristjan Greenewald and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Information Theory and Science Advances.
In The Last Decade
Co-authorship network of co-authors of Jonathan Niles‐Weed i
Fields of papers citing papers by Jonathan Niles‐Weed
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 Jonathan Niles‐Weed. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jonathan Niles‐Weed may publish in the future.
Countries citing papers authored by Jonathan Niles‐Weed
Since SpecializationCitations
This map shows the geographic impact of Jonathan Niles‐Weed'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 Jonathan Niles‐Weed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Niles‐Weed more than expected).
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