Kefa Rabah

About

Kefa Rabah is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kefa Rabah has authored 27 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kefa Rabah’s work include Chaos-based Image/Signal Encryption (8 papers), Cryptography and Data Security (7 papers) and Cryptography and Residue Arithmetic (6 papers). Kefa Rabah is often cited by papers focused on Chaos-based Image/Signal Encryption (8 papers), Cryptography and Data Security (7 papers) and Cryptography and Residue Arithmetic (6 papers). Kefa Rabah collaborates with scholars based in Cyprus, Kenya and United Kingdom. Kefa Rabah's co-authors include and and has published in prestigious journals such as Renewable Energy, IEEE Electron Device Letters and Semiconductor Science and Technology.

In The Last Decade

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Fields of papers citing papers by Kefa Rabah

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

Countries citing papers authored by Kefa Rabah

Since Specialization

Citations

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

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