Amal Elgammal

17 papers and 266 indexed citations i.

About

Amal Elgammal is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems. According to data from OpenAlex, Amal Elgammal has authored 17 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Management Information Systems and 6 papers in Information Systems. Recurrent topics in Amal Elgammal’s work include Advanced Software Engineering Methodologies (7 papers), Business Process Modeling and Analysis (7 papers) and QoS-Aware Web Services Composition and Semantic Matching (6 papers). Amal Elgammal is often cited by papers focused on Advanced Software Engineering Methodologies (7 papers), Business Process Modeling and Analysis (7 papers) and QoS-Aware Web Services Composition and Semantic Matching (6 papers). Amal Elgammal collaborates with scholars based in Egypt, The Netherlands and Saudi Arabia. Amal Elgammal's co-authors include Sherif Sakr, M. Papazoglou, Oktay Türetken, Willem‐Jan van den Heuvel, Bernd Krämer, Carmen Constantinescu, Ahmed Awad, Ahmed Barnawi, Panayiotis Christodoulou and Andreas S. Andreou and has published in prestigious journals such as Sensors, IEEE Software and CIRP journal of manufacturing science and technology.

In The Last Decade

Co-authorship network of co-authors of Amal Elgammal i

Fields of papers citing papers by Amal Elgammal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amal Elgammal

Since Specialization
Citations

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