Angelika Maag

9 papers and 574 indexed citations i.

About

Angelika Maag is a scholar working on Artificial Intelligence, Information Systems and Education. According to data from OpenAlex, Angelika Maag has authored 9 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Education. Recurrent topics in Angelika Maag’s work include Sentiment Analysis and Opinion Mining (2 papers), Digital Marketing and Social Media (1 paper) and Gait Recognition and Analysis (1 paper). Angelika Maag is often cited by papers focused on Sentiment Analysis and Opinion Mining (2 papers), Digital Marketing and Social Media (1 paper) and Gait Recognition and Analysis (1 paper). Angelika Maag collaborates with scholars based in Australia, Iraq and Malaysia. Angelika Maag's co-authors include Abeer Alsadoon, P. W. C. Prasad, Siong Hoe Lau, Tarik A. Rashid, Amr Elchouemi, Hui Yang and Omar Hisham Alsadoon and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Angelika Maag i

Fields of papers citing papers by Angelika Maag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angelika Maag

Since Specialization
Citations

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