Maria Tzelepi

About

Maria Tzelepi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Maria Tzelepi has authored 23 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Maria Tzelepi’s work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Anomaly Detection Techniques and Applications (6 papers). Maria Tzelepi is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Anomaly Detection Techniques and Applications (6 papers). Maria Tzelepi collaborates with scholars based in Greece, Finland and Denmark. Maria Tzelepi's co-authors include Anastasios Tefas, Nikolaos Passalis, Ioannis Pitas, Nikos Nikolaidis, Ioannis Mademlis, Paraskevi Nousi, Alexandros Iosifidis, Robert Babuška, Moncef Gabbouj and Roel Pieters and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Maria Tzelepi i

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Fields of papers citing papers by Maria Tzelepi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Tzelepi

Since Specialization

Citations

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