Igor Mozetič
- Human-Computer Interaction top 1%
- Communication top 2%
- Social Media and Politics 11
- Artificial Intelligence top 1%
- AI-based Problem Solving and Planning 9
- Semantic Web and Ontologies 9
- Advanced Text Analysis Techniques 8
- Information Systems top 1%
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- Complex Network Analysis Techniques 11
- Opinion Dynamics and Social Influence 11
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- Biomedical Text Mining and Ontologies 8
- Bioinformatics and Genomic Networks 8
In The Last Decade
Igor Mozetič
64 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Human-Computer Interaction 286
- Communication 300
- Artificial Intelligence 1.3k
- Information Systems 477
- Management Science and Operations Research 242
Countries citing papers authored by Igor Mozetič
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
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
The 25 scholars most cited alongside Igor Mozetič, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 12 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 181 | |
| 6 | 2018 | 3 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 63 | |
| 10 | 2016 | 29 | |
| 11 | 2016 | 27 | |
| 12 | Sentiment of Emojisbreakdown → | 2015 | 488 |
| 13 | 2015 | 162 | |
| 14 | The Effects of Twitter Sentiment on Stock Price Returnsbreakdown → | 2015 | 268 |
| 15 | 2014 | 3 | |
| 16 | 2014 | 21 | |
| 17 | Incremental revision of biological networks from texts | 2013 | 0 |
| 18 | A polynomial-time algorithm for model-based diagnosis | 1992 | 5 |
| 19 | Varying levels of abstraction in qualitative modeling | 1991 | 1 |
| 20 | The multi-purpose incremental learning system AQ15 and its testing application to three medical domains | 1986 | 433 |
About Igor Mozetič
Igor Mozetič is a scholar working on Communication, Artificial Intelligence, Statistical and Nonlinear Physics, General Decision Sciences and Finance, having authored 67 papers that have together received 2.6k indexed citations. Recurring topics across this work include Social Media and Politics (11 papers), Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (11 papers), AI-based Problem Solving and Planning (9 papers), Semantic Web and Ontologies (9 papers), Biomedical Text Mining and Ontologies (8 papers), Advanced Text Analysis Techniques (8 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Human-Computer Interaction (286 citations), Communication (300 citations), Artificial Intelligence (1.3k citations), Information Systems (477 citations) and Management Science and Operations Research (242 citations). Igor Mozetič has collaborated with scholars based in Slovenia, Austria and Italy. Frequent 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. Their work appears in journals such as PLoS ONE, Applied Network Science, Scientific Reports, BMC Bioinformatics and Machine Learning.
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.