Emmanuel Pintelas

About

Emmanuel Pintelas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Emmanuel Pintelas has authored 20 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Management Science and Operations Research. Recurrent topics in Emmanuel Pintelas’s work include Explainable Artificial Intelligence (XAI) (5 papers), Stock Market Forecasting Methods (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Emmanuel Pintelas is often cited by papers focused on Explainable Artificial Intelligence (XAI) (5 papers), Stock Market Forecasting Methods (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Emmanuel Pintelas collaborates with scholars based in Greece. Emmanuel Pintelas's co-authors include Panagiotis Pintelas, Ioannis E. Livieris, Stavros Stavroyiannis, Sotiris Kotsiantis, Theodore Kotsilieris, Ioannis D. Apostolopoulos, D. Apostolopoulos, Νικόλαος Παπαθανασίου and George Panayiotakis and has published in prestigious journals such as Sensors, Knowledge-Based Systems and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Emmanuel Pintelas i

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Fields of papers citing papers by Emmanuel Pintelas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emmanuel Pintelas

Since Specialization

Citations

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