Matej Martinc

25 papers and 169 indexed citations i.

About

Matej Martinc is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Matej Martinc has authored 25 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Information Systems. Recurrent topics in Matej Martinc’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Advanced Text Analysis Techniques (8 papers). Matej Martinc is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Advanced Text Analysis Techniques (8 papers). Matej Martinc collaborates with scholars based in Slovenia, United Kingdom and France. Matej Martinc's co-authors include Senja Pollak, Blaž Škrlj, Nada Lavrač, Marko Robnik‐Šikonja, Petra Kralj Novak, Fasih Haider, Saturnino Luz, Lidia Pivovarova, Martin Žnidaršič and Manja Klemenčić and has published in prestigious journals such as Machine Learning, Studies in Higher Education and Frontiers in Aging Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Matej Martinc i

Fields of papers citing papers by Matej Martinc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matej Martinc

Since Specialization
Citations

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