Maria Fasli

63 papers and 344 indexed citations i.

About

Maria Fasli is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Maria Fasli has authored 63 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 18 papers in Information Systems and 13 papers in Management Science and Operations Research. Recurrent topics in Maria Fasli’s work include Multi-Agent Systems and Negotiation (11 papers), Topic Modeling (8 papers) and Recommender Systems and Techniques (7 papers). Maria Fasli is often cited by papers focused on Multi-Agent Systems and Negotiation (11 papers), Topic Modeling (8 papers) and Recommender Systems and Techniques (7 papers). Maria Fasli collaborates with scholars based in United Kingdom, Saudi Arabia and Spain. Maria Fasli's co-authors include Ahmad Hawalah, Ramón Hermoso, Yevgeniya Kovalchuk, Udo Kruschwitz, Spyridon Samothrakis, Dawei Song, Stephen Dignum, Anne De Roeck, Christos Chrysoulas and Grigorios Kalliatakis and has published in prestigious journals such as PLoS ONE, Applied Energy and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Maria Fasli i

Fields of papers citing papers by Maria Fasli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Fasli

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025