Fadi Al Machot

31 papers and 431 indexed citations i.

About

Fadi Al Machot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Fadi Al Machot has authored 31 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Fadi Al Machot’s work include Emotion and Mood Recognition (6 papers), Context-Aware Activity Recognition Systems (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Fadi Al Machot is often cited by papers focused on Emotion and Mood Recognition (6 papers), Context-Aware Activity Recognition Systems (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Fadi Al Machot collaborates with scholars based in Austria, Norway and Germany. Fadi Al Machot's co-authors include Kyandoghere Kyamakya, Heinrich C. Mayr, Mouhannad Ali, Ahmad Haj Mosa, Wolfgang Klas, Mohib Ullah, José Palazzo Moreira de Oliveira, K. Venkatachalam, Jean Chamberlain Chedjou and Habib Ullah and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Fadi Al Machot i

Fields of papers citing papers by Fadi Al Machot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fadi Al Machot. 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 Fadi Al Machot. The network helps show where Fadi Al Machot may publish in the future.

Countries citing papers authored by Fadi Al Machot

Since Specialization
Citations

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