Ekraam Sabir

7 papers and 74 indexed citations i.

About

Ekraam Sabir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Ekraam Sabir has authored 7 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Biophysics. Recurrent topics in Ekraam Sabir’s work include Digital Media Forensic Detection (6 papers), Adversarial Robustness in Machine Learning (3 papers) and AI in cancer detection (2 papers). Ekraam Sabir is often cited by papers focused on Digital Media Forensic Detection (6 papers), Adversarial Robustness in Machine Learning (3 papers) and AI in cancer detection (2 papers). Ekraam Sabir collaborates with scholars based in United States. Ekraam Sabir's co-authors include Wael AbdAlmageed, Prem Natarajan, Ayush Jaiswal, Jiaxin Cheng and Iacopo Masi and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Ekraam Sabir

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

Countries citing papers authored by Ekraam Sabir

Since Specialization
Citations

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

Rankless by CCL
2025