Madjid Fathi

71 papers and 466 indexed citations i.

About

Madjid Fathi is a scholar working on Artificial Intelligence, Information Systems and Industrial and Manufacturing Engineering. According to data from OpenAlex, Madjid Fathi has authored 71 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 14 papers in Information Systems and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in Madjid Fathi’s work include Topic Modeling (7 papers), Big Data and Business Intelligence (6 papers) and Advanced Graph Neural Networks (6 papers). Madjid Fathi is often cited by papers focused on Topic Modeling (7 papers), Big Data and Business Intelligence (6 papers) and Advanced Graph Neural Networks (6 papers). Madjid Fathi collaborates with scholars based in Germany, Iran and Spain. Madjid Fathi's co-authors include Fazel Ansari, Mahdi Bohlouli, Sara Nasiri, Christian Weber, Lefteris Angelis, Nikolaos Mittas, George Kakarontzas, Θεοδόσιος Θεοδοσίου, Matthias Jung and Christian Weber and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and Sensors.

In The Last Decade

Co-authorship network of co-authors of Madjid Fathi i

Fields of papers citing papers by Madjid Fathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Madjid Fathi

Since Specialization
Citations

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