Marius Kaminskas

22 total papers · 1.4k total citations
11 papers, 618 citations indexed

About

Marius Kaminskas is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Marius Kaminskas has authored 11 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Marius Kaminskas's work include Music and Audio Processing (8 papers), Recommender Systems and Techniques (5 papers) and Music Technology and Sound Studies (5 papers). Marius Kaminskas is often cited by papers focused on Music and Audio Processing (8 papers), Recommender Systems and Techniques (5 papers) and Music Technology and Sound Studies (5 papers). Marius Kaminskas collaborates with scholars based in Italy, Spain and Ireland. Marius Kaminskas's co-authors include Derek Bridge, Francesco Ricci⋆, Matthias Braunhofer, Markus Schedl, Ignacio Fernández-Tobías, Iván Cantador, Linas Baltrunas, Bracha Shapira and Lior Rokach and has published in prestigious journals such as Computer Science Review, Information Technology & Tourism and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

Marius Kaminskas

11 papers receiving 589 citations

Hit Papers

Diversity, Serendipity, N... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Marius Kaminskas 388 229 222 200 87 11 618
Negar Hariri 550 1.4× 120 0.5× 136 0.6× 282 1.4× 86 1.0× 15 644
Svetlin Bostandjiev 380 1.0× 278 1.2× 63 0.3× 275 1.4× 68 0.8× 9 636
Byeong Man Kim 350 0.9× 166 0.7× 107 0.5× 155 0.8× 37 0.4× 40 511
Lukas Lerche 448 1.2× 129 0.6× 77 0.3× 219 1.1× 188 2.2× 17 533
Chris Newell 346 0.9× 120 0.5× 47 0.2× 198 1.0× 97 1.1× 4 567
Maryam Kamvar 388 1.0× 101 0.4× 119 0.5× 71 0.4× 21 0.2× 10 584
How Jing 468 1.2× 140 0.6× 48 0.2× 377 1.9× 122 1.4× 11 602
Kristina Lisa Klinkner 338 0.9× 63 0.3× 66 0.3× 195 1.0× 30 0.3× 7 546
Yifan Wang 313 0.8× 73 0.3× 49 0.2× 195 1.0× 69 0.8× 28 626
A. Nanopoulos 304 0.8× 107 0.5× 147 0.7× 127 0.6× 45 0.5× 13 514

Countries citing papers authored by Marius Kaminskas

Since Specialization
Citations

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

Fields of papers citing papers by Marius Kaminskas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marius Kaminskas

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Kaminskas. A scholar is included among the top collaborators of Marius Kaminskas 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 Marius Kaminskas. Marius Kaminskas 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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