Freddie Kalaitzis

17 papers and 150 indexed citations i.

About

Freddie Kalaitzis is a scholar working on Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Freddie Kalaitzis has authored 17 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Media Technology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Freddie Kalaitzis’s work include Advanced Image Processing Techniques (3 papers), Advanced Image Fusion Techniques (3 papers) and Bayesian Methods and Mixture Models (2 papers). Freddie Kalaitzis is often cited by papers focused on Advanced Image Processing Techniques (3 papers), Advanced Image Fusion Techniques (3 papers) and Bayesian Methods and Mixture Models (2 papers). Freddie Kalaitzis collaborates with scholars based in United Kingdom, United States and Spain. Freddie Kalaitzis's co-authors include Neil D. Lawrence, Luis Gómez‐Chova, Yarin Gal, Gonzalo Mateo‐García, Yoshua Bengio, Samira Ebrahimi Kahou, Pierre-Luc St-Charles, Sookyung Kim, Daniel Aloise and Marie‐Ève Rancourt and has published in prestigious journals such as The Astrophysical Journal Supplement Series, BMC Bioinformatics and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Freddie Kalaitzis i

Fields of papers citing papers by Freddie Kalaitzis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Freddie Kalaitzis

Since Specialization
Citations

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