Ammar Shaker

15 papers and 401 indexed citations i.

About

Ammar Shaker is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ammar Shaker has authored 15 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ammar Shaker’s work include Adaptation to Concept Drift in Data Streams (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Data Classification (4 papers). Ammar Shaker is often cited by papers focused on Adaptation to Concept Drift in Data Streams (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Data Classification (4 papers). Ammar Shaker collaborates with scholars based in Germany, United Kingdom and Austria. Ammar Shaker's co-authors include Eyke Hüllermeier, Edwin Lughofer, Jerzy Stefanowski, Myra Spiliopoulou, Indrė Žliobaitė, Georg Krempl, Thilo Noack, Dariusz Brzeziński, Mark Last and Vincent Lemaire and has published in prestigious journals such as Information Sciences, Neurocomputing and IEEE Transactions on Software Engineering.

In The Last Decade

Co-authorship network of co-authors of Ammar Shaker i

Fields of papers citing papers by Ammar Shaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ammar Shaker

Since Specialization
Citations

This map shows the geographic impact of Ammar Shaker'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 Ammar Shaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ammar Shaker 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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2025