Amal El Fallah-Seghrouchni

About

Amal El Fallah-Seghrouchni is a scholar working on Artificial Intelligence, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Amal El Fallah-Seghrouchni has authored 2 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Management Science and Operations Research and 1 paper in Industrial and Manufacturing Engineering. Recurrent topics in Amal El Fallah-Seghrouchni’s work include Stock Market Forecasting Methods (1 paper), Scheduling and Optimization Algorithms (1 paper) and Complex Systems and Time Series Analysis (1 paper). Amal El Fallah-Seghrouchni is often cited by papers focused on Stock Market Forecasting Methods (1 paper), Scheduling and Optimization Algorithms (1 paper) and Complex Systems and Time Series Analysis (1 paper). Amal El Fallah-Seghrouchni collaborates with scholars based in Denmark. Amal El Fallah-Seghrouchni's co-authors include Mehdi Dastani, Jürgen Dix, Rafael H. Bordini, Gita Sukthankar, Neil Yorke‐Smith and Bo An and has published in prestigious journals such as HAL (Le Centre pour la Communication Scientifique Directe) and Research Portal Denmark.

In The Last Decade

Co-authorship network of co-authors of Amal El Fallah-Seghrouchni i

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Fields of papers citing papers by Amal El Fallah-Seghrouchni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amal El Fallah-Seghrouchni. 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 El Fallah-Seghrouchni. The network helps show where Amal El Fallah-Seghrouchni may publish in the future.

Countries citing papers authored by Amal El Fallah-Seghrouchni

Since Specialization

Citations

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