Amr Sharaf

10 papers and 82 indexed citations i.

About

Amr Sharaf is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Amr Sharaf has authored 10 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Amr Sharaf’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Multimodal Machine Learning Applications (2 papers). Amr Sharaf is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Multimodal Machine Learning Applications (2 papers). Amr Sharaf collaborates with scholars based in United States, Bahrain and Egypt. Amr Sharaf's co-authors include Hal Daumé, Motaz El-Saban, Mohamed E. Hussein, Marwan Torki, Arti Nanda, Qasem A. Alsaleh, Hany Hassan, Yiren Wang, Renkun Ni and Arul Menezes and has published in prestigious journals such as International Journal of Dermatology, Journal de Mycologie Médicale and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Amr Sharaf i

Fields of papers citing papers by Amr Sharaf

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

Countries citing papers authored by Amr Sharaf

Since Specialization
Citations

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

Rankless by CCL
2025