Linas Baltrunas

44 total papers · 4.6k total citations
31 papers, 2.4k citations indexed

About

Linas Baltrunas is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Linas Baltrunas has authored 31 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems, 9 papers in Artificial Intelligence and 9 papers in Management Science and Operations Research. Recurrent topics in Linas Baltrunas's work include Recommender Systems and Techniques (28 papers), Advanced Bandit Algorithms Research (9 papers) and Data Management and Algorithms (5 papers). Linas Baltrunas is often cited by papers focused on Recommender Systems and Techniques (28 papers), Advanced Bandit Algorithms Research (9 papers) and Data Management and Algorithms (5 papers). Linas Baltrunas collaborates with scholars based in Spain, Italy and Netherlands. Linas Baltrunas's co-authors include Francesco Ricci⋆, Alexandros Karatzoglou, Xavier Amatriain, Nuria Oliver, Bernd Ludwig, Yue Shi, Alan Hanjalić, Martha Larson, Martha Larson and Pablo Castells and has published in prestigious journals such as Personal and Ubiquitous Computing, AI Magazine and User Modeling and User-Adapted Interaction.

In The Last Decade

Linas Baltrunas

30 papers receiving 2.4k citations

Hit Papers

Multiverse recommendation 2010 2026 2015 2020 2010 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Linas Baltrunas 2.0k 854 716 457 354 31 2.4k
Xavier Amatriain 1.1k 0.5× 595 0.7× 655 0.9× 298 0.7× 150 0.4× 62 2.0k
Yue Shi 1.5k 0.8× 886 1.0× 571 0.8× 397 0.9× 188 0.5× 45 2.0k
Christoph Freudenthaler 2.6k 1.3× 1.6k 1.9× 756 1.1× 715 1.6× 409 1.2× 18 2.9k
Alex Beutel 1.3k 0.6× 1.3k 1.5× 338 0.5× 234 0.5× 79 0.2× 47 2.1k
Xiaoyuan Su 2.1k 1.0× 1.0k 1.2× 744 1.0× 325 0.7× 189 0.5× 23 2.6k
Antonio Hernando 2.9k 1.5× 1.4k 1.6× 1.1k 1.5× 554 1.2× 293 0.8× 39 3.6k
Quan Yuan 1.9k 1.0× 1.0k 1.2× 385 0.5× 229 0.5× 1.1k 3.2× 60 3.0k
Huiji Gao 1.5k 0.8× 1.3k 1.6× 396 0.6× 170 0.4× 905 2.6× 51 3.1k
Jiliang Tang 1.5k 0.8× 2.0k 2.3× 665 0.9× 129 0.3× 762 2.2× 49 3.5k
Paolo Cremonesi 2.1k 1.0× 1.1k 1.3× 872 1.2× 609 1.3× 140 0.4× 135 2.9k

Countries citing papers authored by Linas Baltrunas

Since Specialization
Citations

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

Fields of papers citing papers by Linas Baltrunas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linas Baltrunas

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