Igor Mozetič

4.6k total citations · 2 hit papers
67 papers, 2.6k citations indexed

About

Igor Mozetič is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Igor Mozetič has authored 67 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 14 papers in Molecular Biology and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Igor Mozetič's work include Social Media and Politics (11 papers), Complex Network Analysis Techniques (11 papers) and Opinion Dynamics and Social Influence (11 papers). Igor Mozetič is often cited by papers focused on Social Media and Politics (11 papers), Complex Network Analysis Techniques (11 papers) and Opinion Dynamics and Social Influence (11 papers). Igor Mozetič collaborates with scholars based in Slovenia, Austria and Italy. Igor Mozetič's co-authors include Jasmina Smailović, Petra Kralj Novak, Nada Lavrač, Jiarong Hong, Ryszard S. Michalski, Miha Grćar, Borut Sluban, Guido Caldarelli, Vítor Cerqueira and Luı́s Torgo and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Igor Mozetič

64 papers receiving 2.4k citations

Hit Papers

Sentiment of Emojis 2015 2026 2018 2022 2015 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Mozetič Slovenia 22 1.3k 494 477 300 286 67 2.6k
Roy Rada United States 23 1.6k 1.2× 325 0.7× 911 1.9× 199 0.7× 291 1.0× 209 3.5k
Gobinda Chowdhury United Kingdom 25 880 0.7× 339 0.7× 1.1k 2.3× 172 0.6× 72 0.3× 99 3.1k
Ewan Klein United Kingdom 24 3.6k 2.7× 351 0.7× 624 1.3× 154 0.5× 114 0.4× 92 5.7k
Steven Bird Australia 29 4.9k 3.8× 553 1.1× 1.2k 2.6× 227 0.8× 138 0.5× 134 6.8k
Walter Daelemans Belgium 39 4.7k 3.6× 306 0.6× 721 1.5× 197 0.7× 120 0.4× 320 5.7k
Edward Loper United States 6 3.2k 2.5× 481 1.0× 966 2.0× 178 0.6× 86 0.3× 8 4.6k
Jordan Boyd‐Graber United States 33 3.6k 2.7× 510 1.0× 639 1.3× 280 0.9× 84 0.3× 124 4.9k
Padmini Srinivasan United States 33 1.9k 1.4× 357 0.7× 1.2k 2.6× 201 0.7× 35 0.1× 175 3.6k
Philip J. Stone United States 19 1.7k 1.3× 500 1.0× 372 0.8× 168 0.6× 55 0.2× 31 3.4k
Sitaram Asur United States 15 817 0.6× 737 1.5× 426 0.9× 309 1.0× 37 0.1× 23 2.4k

Countries citing papers authored by Igor Mozetič

Since Specialization
Citations

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

Fields of papers citing papers by Igor Mozetič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Mozetič

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

All Works

20 of 20 papers shown
1.
Mozetič, Igor, et al.. (2023). Automatic Genre Identification for Robust Enrichment of Massive Text Collections: Investigation of Classification Methods in the Era of Large Language Models. SHILAP Revista de lepidopterología. 5(3). 1149–1175. 6 indexed citations
2.
Ljubešić, Nikola, Igor Mozetič, & Petra Kralj Novak. (2022). Quantifying the impact of context on the quality of manual hate speech annotation. Natural Language Engineering. 29(6). 1481–1494. 4 indexed citations
3.
Mozetič, Igor, et al.. (2021). Community evolution in retweet networks. PLoS ONE. 16(9). e0256175–e0256175. 12 indexed citations
4.
Ljubešić, Nikola, et al.. (2021). Evolution of topics and hate speech in retweet network communities. Applied Network Science. 6(1). 96–96. 8 indexed citations
5.
Cerqueira, Vítor, Luı́s Torgo, & Igor Mozetič. (2020). Evaluating time series forecasting models: an empirical study on performance estimation methods. Machine Learning. 109(11). 1997–2028. 181 indexed citations
6.
Sluban, Borut, et al.. (2018). Profiling the EU lobby organizations in Banking and Finance. Applied Network Science. 3(1). 44–44. 3 indexed citations
7.
Mozetič, Igor, Luı́s Torgo, Vítor Cerqueira, & Jasmina Smailović. (2018). How to evaluate sentiment classifiers for Twitter time-ordered data?. PLoS ONE. 13(3). e0194317–e0194317. 21 indexed citations
8.
Novak, Petra Kralj, et al.. (2018). Impact investing market on Twitter: influential users and communities. Applied Network Science. 3(1). 40–40. 10 indexed citations
9.
Grćar, Miha, et al.. (2017). Stance and influence of Twitter users regarding the Brexit referendum. SHILAP Revista de lepidopterología. 4(1). 6–6. 63 indexed citations
10.
Mozetič, Igor, et al.. (2016). Retweet networks of the European Parliament: evaluation of the community structure. Applied Network Science. 1(1). 2–2. 29 indexed citations
11.
Karpf, Andreas, et al.. (2016). Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities. PLoS ONE. 11(11). e0166586–e0166586. 27 indexed citations
12.
Novak, Petra Kralj, Jasmina Smailović, Borut Sluban, & Igor Mozetič. (2015). Sentiment of Emojis. PLoS ONE. 10(12). e0144296–e0144296. 488 indexed citations breakdown →
13.
Zollo, Fabiana, Petra Kralj Novak, Michela Del Vicario, et al.. (2015). Emotional Dynamics in the Age of Misinformation. PLoS ONE. 10(9). e0138740–e0138740. 162 indexed citations
14.
Ranco, Gabriele, Darko Aleksovski, Guido Caldarelli, Miha Grćar, & Igor Mozetič. (2015). The Effects of Twitter Sentiment on Stock Price Returns. PLoS ONE. 10(9). e0138441–e0138441. 268 indexed citations breakdown →
15.
Popović, Marko, Hrvoje Štefančić, Borut Sluban, et al.. (2014). Extraction of Temporal Networks from Term Co-Occurrences in Online Textual Sources. PLoS ONE. 9(12). e99515–e99515. 3 indexed citations
16.
Antulov-Fantulin, Nino, Petra Kralj Novak, Igor Mozetič, et al.. (2014). Cohesiveness in Financial News and its Relation to Market Volatility. Scientific Reports. 4(1). 5038–5038. 21 indexed citations
17.
Miljković, Dragana, et al.. (2013). Incremental revision of biological networks from texts. 1–9.
18.
Mozetič, Igor. (1992). A polynomial-time algorithm for model-based diagnosis. European Conference on Artificial Intelligence. 729–733. 5 indexed citations
19.
Mozetič, Igor, Ivan Bratko, & Tanja Urbančič. (1991). Varying levels of abstraction in qualitative modeling. 259–280. 1 indexed citations
20.
Michalski, Ryszard S., Igor Mozetič, Jiarong Hong, & Nada Lavrač. (1986). The multi-purpose incremental learning system AQ15 and its testing application to three medical domains. National Conference on Artificial Intelligence. 1041–1045. 433 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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