Ahmed Sedik

43 papers and 780 indexed citations i.

About

Ahmed Sedik is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ahmed Sedik has authored 43 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Ahmed Sedik’s work include Digital Media Forensic Detection (8 papers), Biometric Identification and Security (7 papers) and COVID-19 diagnosis using AI (6 papers). Ahmed Sedik is often cited by papers focused on Digital Media Forensic Detection (8 papers), Biometric Identification and Security (7 papers) and COVID-19 diagnosis using AI (6 papers). Ahmed Sedik collaborates with scholars based in Egypt, Saudi Arabia and United Kingdom. Ahmed Sedik's co-authors include Fathi E. Abd El‐Samie, Ahmed A. Abd El‐Latif, Mohamed Hammad, Brij B. Gupta, Ghada M. El‐Banby, Ashraf A. M. Khalaf, Abdullah M. Iliyasu, Basma Abd El-Rahiem, Ali I. Siam and Mohamed M. Dessouky and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Technological Forecasting and Social Change.

In The Last Decade

Co-authorship network of co-authors of Ahmed Sedik i

Fields of papers citing papers by Ahmed Sedik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmed Sedik. 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 Ahmed Sedik. The network helps show where Ahmed Sedik may publish in the future.

Countries citing papers authored by Ahmed Sedik

Since Specialization
Citations

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