Information Technologies Institute

1.4k papers and 19.8k indexed citations i.

About

In recent decades, authors affiliated with Information Technologies Institute have published 1.4k papers, which have received a total of 19.8k indexed citations. Scholars at this organization have produced 544 papers in Computer Vision and Pattern Recognition, 250 papers in Artificial Intelligence and 195 papers in Electrical and Electronic Engineering on the topics of Advanced Image and Video Retrieval Techniques (134 papers), Video Analysis and Summarization (90 papers) and Image Retrieval and Classification Techniques (82 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (6.6k citations), Artificial Intelligence (3.2k citations) and Electrical and Electronic Engineering (2.6k citations). Authors at Information Technologies Institute collaborate with scholars in Greece, United Kingdom and Germany and have published in prestigious journals including Blood, Bioinformatics and PLoS ONE. Some of Information Technologies Institute's most productive authors include Ioannis Kompatsiaris, Dimitrios Tzovaras, Petros Daras, M.G. Strintzis, Elias B. Kosmatopoulos, Kosmas Dimitropoulos, Symeon Papadopoulos, Vasileios Mezaris, Nikos Grammalidis and Sotiris Malassiotis.

In The Last Decade

Fields of papers published by authors at Information Technologies Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Information Technologies Institute at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Information Technologies Institute at the time of their publication.

Countries citing scholars working at Information Technologies Institute

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Information Technologies Institute. 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 papers produced at Information Technologies Institute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Information Technologies Institute 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