Ante Odić

517 total citations
12 papers, 292 citations indexed

About

Ante Odić is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Signal Processing. According to data from OpenAlex, Ante Odić has authored 12 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Ante Odić's work include Recommender Systems and Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Video Analysis and Summarization (3 papers). Ante Odić is often cited by papers focused on Recommender Systems and Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Video Analysis and Summarization (3 papers). Ante Odić collaborates with scholars based in Slovenia, Austria and Italy. Ante Odić's co-authors include Andrej Košir, Marko Tkalčič, J.F. Tasič, Matevž Kunaver, Marco de Gemmis, Berardina De Carolis, Tomaž Požrl, Markus Schedl, Bruce Ferwerda and Cynthia C. S. Liem and has published in prestigious journals such as Information Sciences, IEEE Transactions on Multimedia and Interacting with Computers.

In The Last Decade

Ante Odić

12 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ante Odić Slovenia	7	175	105	82	51	30	12	292
Evelyne Viegas United States	10	90 0.5×	293 2.8×	44 0.5×	52 1.0×	24 0.8×	32	450
Kleomenis Katevas United Kingdom	9	73 0.4×	230 2.2×	74 0.9×	33 0.6×	22 0.7×	19	435
Sam Scott United States	7	145 0.8×	294 2.8×	32 0.4×	22 0.4×	28 0.9×	13	442
Gen Hattori Japan	9	83 0.5×	118 1.1×	123 1.5×	61 1.2×	25 0.8×	26	306
Shampa Chakraverty India	12	95 0.5×	143 1.4×	75 0.9×	55 1.1×	15 0.5×	52	359
Kyo-Joong Oh South Korea	9	70 0.4×	224 2.1×	69 0.8×	39 0.8×	15 0.5×	22	386
Lourens van der Meij Netherlands	9	70 0.4×	228 2.2×	43 0.5×	25 0.5×	14 0.5×	15	368
Hao Fu China	9	144 0.8×	164 1.6×	56 0.7×	9 0.2×	28 0.9×	11	278
Stewart Massie United Kingdom	11	72 0.4×	261 2.5×	84 1.0×	35 0.7×	20 0.7×	28	413
Sujoy Roy Singapore	13	69 0.4×	88 0.8×	325 4.0×	93 1.8×	25 0.8×	36	453

Countries citing papers authored by Ante Odić

Since Specialization

Citations

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

Fields of papers citing papers by Ante Odić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ante Odić

This figure shows the co-authorship network connecting the top 25 collaborators of Ante Odić. A scholar is included among the top collaborators of Ante Odić 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 Ante Odić. Ante Odić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Tkalčič, Marko, Berardina De Carolis, Marco de Gemmis, Ante Odić, & Andrej Košir. (2016). Emotions and Personality in Personalized Services. View. 55 indexed citations

Tkalčič, Marko, Berardina De Carolis, Marco de Gemmis, Ante Odić, & Andrej Košir. (2015). EMPIRE 2015. View. 343–344. 1 indexed citations

Tkalčič, Marko, Bruce Ferwerda, Markus Schedl, et al.. (2014). Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters.. View. 6 indexed citations

Odić, Ante, Marko Tkalčič, J.F. Tasič, & Andrej Košir. (2013). Personality and social context: Impact on emotion induction from movies. View. 9 indexed citations

Košir, Andrej, Ante Odić, & Marko Tkalčič. (2013). How to improve the statistical power of the 10-fold cross validation scheme in recommender systems. View. 3–6. 11 indexed citations

Odić, Ante, Marko Tkalčič, J.F. Tasič, & Andrej Košir. (2013). Impact of the Context Relevancy on Ratings Prediction in a Movie-Recommender System. Automatika. 54(2). 252–262. 3 indexed citations

Tkalčič, Marko, Ante Odić, & Andrej Košir. (2013). The impact of weak ground truth and facial expressiveness on affect detection accuracy from time-continuous videos of facial expressions. Information Sciences. 249. 13–23. 12 indexed citations

Odić, Ante, Marko Tkalčič, J.F. Tasič, & Andrej Košir. (2013). Predicting and Detecting the Relevant Contextual Information in a Movie-Recommender System. Interacting with Computers. 25(1). 74–90. 76 indexed citations

Odić, Ante, Marko Tkalčič, Matevž Kunaver, et al.. (2012). LDOS-CoMoDa dataset. Repository of the University of Ljubljana (University of Ljubljana). 5 indexed citations

10.

Tkalčič, Marko, Ante Odić, Andrej Košir, & J.F. Tasič. (2012). Affective Labeling in a Content-Based Recommender System for Images. IEEE Transactions on Multimedia. 15(2). 391–400. 53 indexed citations

11.

Tkalčič, Marko, Ante Odić, Andrej Košir, & J.F. Tasič. (2012). Exploiting implicit affective labeling for image recommendations. View. 3321–3326. 1 indexed citations

12.

Košir, Andrej, Ante Odić, Matevž Kunaver, Marko Tkalčič, & J.F. Tasič. (2011). Database for contextual personalization. 60 indexed citations

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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