Aleks Jakulin

7 papers and 1.1k indexed citations i.

About

Aleks Jakulin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Aleks Jakulin has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. Recurrent topics in Aleks Jakulin’s work include Data Visualization and Analytics (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Computer Graphics and Visualization Techniques (1 paper). Aleks Jakulin is often cited by papers focused on Data Visualization and Analytics (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Computer Graphics and Visualization Techniques (1 paper). Aleks Jakulin collaborates with scholars based in Slovenia, United States and Italy. Aleks Jakulin's co-authors include Maria Grazia Pittau, Andrew Gelman, Yu‐Sung Su, Wray Buntine, Martin Možina, Janez Demšar, Ivan Bratko, Blaž Zupan, Martin Žnidaršič and Holly Brasher and has published in prestigious journals such as Ecological Modelling, Political Analysis and The Annals of Applied Statistics.

In The Last Decade

Co-authorship network of co-authors of Aleks Jakulin i

Fields of papers citing papers by Aleks Jakulin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aleks Jakulin

Since Specialization
Citations

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