Kareem S. Aggour

About

Kareem S. Aggour is a scholar working on Artificial Intelligence, Computer Networks and Communications and Materials Chemistry. According to data from OpenAlex, Kareem S. Aggour has authored 12 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Materials Chemistry. Recurrent topics in Kareem S. Aggour’s work include Distributed and Parallel Computing Systems (2 papers), Computational Physics and Python Applications (2 papers) and Additive Manufacturing Materials and Processes (2 papers). Kareem S. Aggour is often cited by papers focused on Distributed and Parallel Computing Systems (2 papers), Computational Physics and Python Applications (2 papers) and Additive Manufacturing Materials and Processes (2 papers). Kareem S. Aggour collaborates with scholars based in United States. Kareem S. Aggour's co-authors include William Cheetham, Virendra Kumar, Xue Feng, Piero P. Bonissone, Varish Mulwad, Tianyi Wang, Paul Cuddihy, Abhinav Saxena, Andrew J. Detor and Abha Moitra and has published in prestigious journals such as Computational Statistics & Data Analysis, Proceedings of the VLDB Endowment and Integrating materials and manufacturing innovation.

In The Last Decade

Co-authorship network of co-authors of Kareem S. Aggour i

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Fields of papers citing papers by Kareem S. Aggour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kareem S. Aggour. 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 Kareem S. Aggour. The network helps show where Kareem S. Aggour may publish in the future.

Countries citing papers authored by Kareem S. Aggour

Since Specialization

Citations

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