Gonen Singer
About
Gonen Singer is a scholar working on Artificial Intelligence, Management Science and Operations Research and Industrial and Manufacturing Engineering.
According to data from OpenAlex, Gonen Singer has authored 37 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Gonen Singer’s work include Imbalanced Data Classification Techniques (7 papers), Advanced Statistical Process Monitoring (4 papers) and AI and HR Technologies (4 papers). Gonen Singer is often cited by papers focused on Imbalanced Data Classification Techniques (7 papers), Advanced Statistical Process Monitoring (4 papers) and AI and HR Technologies (4 papers). Gonen Singer collaborates with scholars based in Israel, United States and Italy. Gonen Singer's co-authors include Irad Ben‐Gal, Yuval Cohen, Hila Chalutz Ben‐Gal, Dana Pessach, Erez Shmueli, Eugene Khmelnitsky, Izack Cohen, Sara Naftali, Anat Ratnovsky and Alexandra Dana and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and International Journal of Production Research.
In The Last Decade
Co-authorship network of co-authors of Gonen Singer i
Fields of papers citing papers by Gonen 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 Gonen Singer. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gonen Singer may publish in the future.
Countries citing papers authored by Gonen Singer
Since SpecializationCitations
This map shows the geographic impact of Gonen 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 Gonen Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gonen Singer more than expected).
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