Matko Bošnjak

10 papers and 4.4k indexed citations i.

About

Matko Bošnjak is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Matko Bošnjak has authored 10 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Matko Bošnjak’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Advanced Graph Neural Networks (2 papers). Matko Bošnjak is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Advanced Graph Neural Networks (2 papers). Matko Bošnjak collaborates with scholars based in United Kingdom, United States and Croatia. Matko Bošnjak's co-authors include Nives Škunca, Fran Supek, Tomislav Šmuc, Tim Rocktäschel, Sebastian Riedel, Isabelle Augenstein, Sameer Singh, Pasquale Minervini, Andreas Vlachos and Edward Grefenstette and has published in prestigious journals such as PLoS ONE, PLoS Computational Biology and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Matko Bošnjak i

Fields of papers citing papers by Matko Bošnjak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matko Bošnjak

Since Specialization
Citations

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