Linas Baltrunas

4.7k total citations · 1 hit paper
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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multiverse recommendation

2010 498 citations Alexandros Karatzoglou, Xavier Amatriain et al. profile →

Peers

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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20 of 20 papers shown

#	Work	Indexed citations
1	Deep learning for recommender systems: A Netflix case study 2021 ·AI Magazine ·Harald Steck, Linas Baltrunas, (unknown), Dawen Liang, Yves Raimond, Justin Basilico	66
2	CARS2 2014 ·Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalić	30
3	Gaussian process factorization machines for context-aware recommendations 2014 ·ANU Open Research (Australian National University) ·(unknown), Alexandros Karatzoglou, Linas Baltrunas	56
4	Games of Friends: a game-theoretical approach for link prediction in online social networks 2013 ·National Conference on Artificial Intelligence ·Giovanni Zappella, Alexandros Karatzoglou, Linas Baltrunas	2
5	CLiMF: collaborative less-is-more filtering 2013 ·International Joint Conference on Artificial Intelligence ·Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Nuria Oliver, Alan Hanjalić	18
6	Activating the Crowd: Exploiting User-Item Reciprocity for Recommendation 2013 ·DepositOnce ·Martha Larson, Alan Said, Yue Shi, Paolo Cremonesi, Domonkos Tikk, Alexandros Karatzoglou, Linas Baltrunas, (unknown), (unknown), Frank Hopfgartner	6
7	GAPfm 2013 ·Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalić	10
8	Experimental evaluation of context-dependent collaborative filtering using item splitting 2013 ·User Modeling and User-Adapted Interaction ·Linas Baltrunas, Francesco Ricci⋆	65
9	xCLiMF 2013 ·Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalić	35
10	Optimal radio channel recommendations with explicit and implicit feedback 2012 ·View ·(unknown), Linas Baltrunas, Francesco Ricci⋆	30
11	CLiMF 2012 ·Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Nuria Oliver, Alan Hanjalić	200
12	Climbing the app wall 2012 ·Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Böhmer	60
13	4th workshop on context-aware recommender systems (CARS 2012) 2012 ·Gediminas Adomavičius, Linas Baltrunas, Ernesto William De Luca, (unknown), Alexander Tuzhilin	6
14	3rd workshop on context-aware recommender systems (CARS 2011) 2011 ·CEUR Workshop Proceedings ·Gediminas Adomavičius, Linas Baltrunas, (unknown), Francesco Ricci⋆, Alexander Tuzhilin	3
15	3rd workshop on context-aware recommender systems (CARS 2011) 2011 ·View ·Gediminas Adomavičius, Linas Baltrunas, (unknown), Francesco Ricci⋆, Alexander Tuzhilin	10
16	Matrix factorization techniques for context aware recommendation 2011 ·View ·Linas Baltrunas, Bernd Ludwig, Francesco Ricci⋆	249
17	Group recommendations with rank aggregation and collaborative filtering 2010 ·View ·Linas Baltrunas, (unknown), Francesco Ricci⋆	319
18	Multiverse recommendation breakdown → 2010 ·Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver	498
19	Context-based splitting of item ratings in collaborative filtering 2009 ·View ·Linas Baltrunas, Francesco Ricci⋆	110
20	Multi-dimensional Histograms with Tight Bounds for the Error 2006 ·Zurich Open Repository and Archive (University of Zurich) ·Linas Baltrunas, (unknown), Michael H. Böhlen	3

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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