Ioannis Partalas

About

Ioannis Partalas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ioannis Partalas has authored 12 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ioannis Partalas’s work include Reinforcement Learning in Robotics (5 papers), Text and Document Classification Technologies (3 papers) and Neural Networks and Applications (2 papers). Ioannis Partalas is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Text and Document Classification Technologies (3 papers) and Neural Networks and Applications (2 papers). Ioannis Partalas collaborates with scholars based in Greece, France and United States. Ioannis Partalas's co-authors include Ioannis Vlahavas, Grigorios Tsoumakas, Éric Gaussier, Γεώργιος Παλιούρας, Ion Androutsopoulos, Matthew E. Taylor, Massih-Reza Amini, Rohit Babbar, Ioannis Katakis and Gonzalo Martínez-Muñoz and has published in prestigious journals such as Information Sciences, Neurocomputing and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Ioannis Partalas i

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Fields of papers citing papers by Ioannis Partalas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ioannis Partalas

Since Specialization

Citations

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