Mohamed Taha

27 papers and 182 indexed citations i.

About

Mohamed Taha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Mohamed Taha has authored 27 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Mohamed Taha’s work include Sentiment Analysis and Opinion Mining (3 papers), Currency Recognition and Detection (3 papers) and Video Surveillance and Tracking Methods (3 papers). Mohamed Taha is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Currency Recognition and Detection (3 papers) and Video Surveillance and Tracking Methods (3 papers). Mohamed Taha collaborates with scholars based in Egypt, Saudi Arabia and United States. Mohamed Taha's co-authors include Diaa Salama AbdElminaam, Ahmed Taha, Hala H. Zayed, Essam H. Houssein, Fatma Helmy Ismail, Ayman Nabil, Hamed Nassar, Tarek F. Gharib, Ajith Abraham and Mazen M. Selim and has published in prestigious journals such as PLoS ONE, The Journal of Urology and Human Reproduction.

In The Last Decade

Co-authorship network of co-authors of Mohamed Taha i

Fields of papers citing papers by Mohamed Taha

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

Countries citing papers authored by Mohamed Taha

Since Specialization
Citations

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

Rankless by CCL
2025