Nataša Milić-Frayling

34 papers and 998 indexed citations i.

About

Nataša Milić-Frayling is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nataša Milić-Frayling has authored 34 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nataša Milić-Frayling’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Complex Network Analysis Techniques (6 papers). Nataša Milić-Frayling is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Complex Network Analysis Techniques (6 papers). Nataša Milić-Frayling collaborates with scholars based in United States, United Kingdom and Slovenia. Nataša Milić-Frayling's co-authors include Heikki Ailisto, Eila Ovaska, Antti Evesti, Jukka Riekki, Edward Mutafungwa, Artem Katasonov, Mika Rautiainen, Timo Korhonen, Jonna Häkkilä and Aaron Quigley and has published in prestigious journals such as Lecture notes in computer science, International Journal of Human-Computer Interaction and Personal and Ubiquitous Computing.

In The Last Decade

Co-authorship network of co-authors of Nataša Milić-Frayling i

Fields of papers citing papers by Nataša Milić-Frayling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nataša Milić-Frayling. 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 Nataša Milić-Frayling. The network helps show where Nataša Milić-Frayling may publish in the future.

Countries citing papers authored by Nataša Milić-Frayling

Since Specialization
Citations

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