Uriel Singer
About
Uriel Singer is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry.
According to data from OpenAlex, Uriel Singer has authored 6 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Materials Chemistry. Recurrent topics in Uriel Singer’s work include Explainable Artificial Intelligence (XAI) (1 paper), Recommender Systems and Techniques (1 paper) and Advanced Graph Neural Networks (1 paper). Uriel Singer is often cited by papers focused on Explainable Artificial Intelligence (XAI) (1 paper), Recommender Systems and Techniques (1 paper) and Advanced Graph Neural Networks (1 paper). Uriel Singer collaborates with scholars based in Israel and United States. Uriel Singer's co-authors include Ido Guy, Kira Radinsky, Guy Rosin, Eric Horvitz and Haggai Roitman and has published in prestigious journals such as Bioinformatics.
In The Last Decade
Fields of papers citing papers by Uriel Singer
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 Uriel Singer. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Uriel Singer may publish in the future.
Countries citing papers authored by Uriel Singer
Since SpecializationCitations
This map shows the geographic impact of Uriel Singer'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 Uriel Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uriel Singer more than expected).
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