Marko Tkalčič

2.8k citations
88 papers · 1.5k · h-index 20

Impact in

Papers in

Marko Tkalčič

81 papers receiving 1.4k citations

Peers

Marko Tkalčič
Comparison fields: 5 of 134
  • Signal Processing 253
  • Information Systems 499
  • Computer Vision and Pattern Recognition 450
  • Computational Mathematics 12
  • Music 43
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Citations per field
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Citations per year

Countries citing papers authored by Marko Tkalčič

Since Specialization
Citations

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

Fields of papers citing papers by Marko Tkalčič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marko Tkalčič, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marko Tkalčič Line = papers co-authored together Marko Tkalčič links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004226
2 201688
3 201376
4 201060
5
Database for contextual personalization
201160
6 201655
7 201554
8 201253
9
Personality Based User Similarity Measure for a Collaborative Recommender System
200949
10 201549
11 201844
12 201739
13 201839
14 201839
15 202129
16 201328
17 201627
18
Personality & Emotional States: Understanding Users' Music Listening Needs.
201526
19
Addressing the New User Problem with a Personality Based User Similarity Measure
201125
20 201721

About Marko Tkalčič

Marko Tkalčič is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Cognitive Neuroscience and Sociology and Political Science, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Music and Audio Processing (25 papers), Recommender Systems and Techniques (25 papers), Video Analysis and Summarization (19 papers), Neuroscience and Music Perception (14 papers), Media Influence and Health (10 papers), Image Retrieval and Classification Techniques (9 papers), Music Technology and Sound Studies (8 papers) and Personality Traits and Psychology (7 papers). The work is most often cited by research in Signal Processing (253 citations), Information Systems (499 citations), Computer Vision and Pattern Recognition (450 citations), Computational Mathematics (12 citations) and Music (43 citations). Marko Tkalčič has collaborated with scholars based in Slovenia, Italy and Austria. Frequent co-authors include J.F. Tasič, Bruce Ferwerda, Markus Schedl, Andrej Košir, Ante Odić, Marcin Skowron, Ludovico Boratto, Alexander Felfernig, Martin Stettinger and Francesco Ricci⋆. Their work appears in journals such as User Modeling and User-Adapted Interaction, Information Processing & Management, Multimedia Tools and Applications, Information Sciences and Displays.

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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