Aleks Jakulin

36 total papers · 1.2k total citations
13 papers, 365 citations indexed

About

Aleks Jakulin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Aleks Jakulin has authored 13 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Aleks Jakulin's work include Data Visualization and Analytics (3 papers), Neural Networks and Applications (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Aleks Jakulin is often cited by papers focused on Data Visualization and Analytics (3 papers), Neural Networks and Applications (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Aleks Jakulin collaborates with scholars based in Slovenia, United States and United Kingdom. Aleks Jakulin's co-authors include Ivan Bratko, Wray Buntine, Blaž Zupan, Martin Možina, Janez Demšar, Maria Grazia Pittau, Andrew Gelman, Yu‐Sung Su, Holly Brasher and Dunja Mladenić and has published in prestigious journals such as Ecological Modelling, Political Analysis and Uncertainty in Artificial Intelligence.

In The Last Decade

Aleks Jakulin

13 papers receiving 324 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Aleks Jakulin	181	90	57	35	30	13	365
Patrick Hoffman	126 0.7×	157 1.7×	54 0.9×	24 0.7×	14 0.5×	8	330
Benjamin S. Duran	102 0.6×	31 0.3×	22 0.4×	29 0.8×	4 0.1×	11	378
William Hendrix	167 0.9×	65 0.7×	21 0.4×	51 1.5×	8 0.3×	27	362
Martin Theus	170 0.9×	168 1.9×	14 0.2×	47 1.3×	6 0.2×	16	380
Andreas Wierse	112 0.6×	142 1.6×	23 0.4×	84 2.4×	10 0.3×	6	343
Mehdi Naseriparsa	250 1.4×	39 0.4×	31 0.5×	73 2.1×	4 0.1×	13	390
Ted G. Lewis	32 0.2×	14 0.2×	32 0.6×	34 1.0×	15 0.5×	18	355
Alexey Pryakhin	137 0.8×	102 1.1×	24 0.4×	82 2.3×	7 0.2×	23	381
Meng Wang	90 0.5×	180 2.0×	9 0.2×	16 0.5×	9 0.3×	16	350
Bruno Pinaud	90 0.5×	250 2.8×	24 0.4×	34 1.0×	21 0.7×	28	356

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).

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.

Co-authorship network of co-authors of Aleks Jakulin

This figure shows the co-authorship network connecting the top 25 collaborators of Aleks Jakulin. A scholar is included among the top collaborators of Aleks Jakulin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aleks Jakulin. Aleks Jakulin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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