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 Information Systems. 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 Information Systems. Recurrent topics in Ekraam Sabir’s work include Digital Media Forensic Detection (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Cell Image Analysis Techniques (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 Cell Image Analysis Techniques (2 papers). Ekraam Sabir collaborates with scholars based in United States. Ekraam Sabir's co-authors include Prem Natarajan, Wael AbdAlmageed, Ayush Jaiswal, Jiaxin Cheng, Iacopo Masi and Urbashi Mitra and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and Proceedings of the 30th ACM International Conference on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Ekraam Sabir i

Fields of papers citing papers by Ekraam Sabir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ekraam Sabir. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ekraam Sabir. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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