Maja Štula

21 papers and 122 indexed citations i.

About

Maja Štula is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Maja Štula has authored 21 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Maja Štula’s work include Cognitive Science and Mapping (4 papers), Multi-Agent Systems and Negotiation (4 papers) and Topic Modeling (3 papers). Maja Štula is often cited by papers focused on Cognitive Science and Mapping (4 papers), Multi-Agent Systems and Negotiation (4 papers) and Topic Modeling (3 papers). Maja Štula collaborates with scholars based in Croatia, Bosnia and Herzegovina and Sweden. Maja Štula's co-authors include Darko Stipaničev, Ljiljana Šerić, Damir Krstinić, Ivica Crnković, Slavomir Stankov and Jan Carlson and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Software Engineering and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of Maja Štula i

Fields of papers citing papers by Maja Štula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maja Štula

Since Specialization
Citations

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