Mark Ibrahim
About
Mark Ibrahim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cell Biology.
According to data from OpenAlex, Mark Ibrahim has authored 3 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Cell Biology. Recurrent topics in Mark Ibrahim’s work include Explainable Artificial Intelligence (XAI) (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Mark Ibrahim is often cited by papers focused on Explainable Artificial Intelligence (XAI) (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Mark Ibrahim collaborates with scholars based in United States and Israel. Mark Ibrahim's co-authors include Ivan Evtimov, Tal Hassner, Chenliang Xu, Z. Morley Mao and Shobha Venkataraman and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by Mark Ibrahim
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 Mark Ibrahim. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mark Ibrahim may publish in the future.
Countries citing papers authored by Mark Ibrahim
Since SpecializationCitations
This map shows the geographic impact of Mark Ibrahim'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 Mark Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Ibrahim more than expected).
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