Marina Bagić Babac
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- Social Media and Politics 3
- General Social Sciences top 5%
- Computational and Text Analysis Methods 2
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining 7
- Advanced Text Analysis Techniques 5
- Reinforcement Learning in Robotics 2
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- Misinformation and Its Impacts 4
- Digital Marketing and Social Media 3
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- Sports Performance and Training 2
Marina Bagić Babac
29 papers receiving 225 citations
Peers
Comparison fields: 5 of 56
- Communication 33
- General Social Sciences 12
- Artificial Intelligence 106
- Sociology and Political Science 93
- Tourism, Leisure and Hospitality Management 3
Countries citing papers authored by Marina Bagić Babac
This map shows the geographic impact of Marina Bagić Babac'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 Marina Bagić Babac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Bagić Babac more than expected).
Fields of papers citing papers by Marina Bagić Babac
This network shows the impact of papers produced by Marina Bagić Babac. 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 Marina Bagić Babac. The network helps show where Marina Bagić Babac may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Marina Bagić Babac, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 10 | |
| 15 | 2022 | 64 | |
| 16 | 2022 | 13 | |
| 17 | 2021 | 1 | |
| 18 | 2020 | 3 | |
| 19 | 2018 | 25 | |
| 20 | Model-based verification of the SIP invite scenario | 2013 | 0 |
About Marina Bagić Babac
Marina Bagić Babac is a scholar working on Tourism, Leisure and Hospitality Management, General Social Sciences, Artificial Intelligence, Communication and Music, having authored 34 papers that have together received 236 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (5 papers), Misinformation and Its Impacts (4 papers), Social Media and Politics (3 papers), Digital Marketing and Social Media (3 papers), Sports Performance and Training (2 papers), Reinforcement Learning in Robotics (2 papers) and Computational and Text Analysis Methods (2 papers). The work is most often cited by research in Communication (33 citations), General Social Sciences (12 citations), Artificial Intelligence (106 citations), Sociology and Political Science (93 citations) and Tourism, Leisure and Hospitality Management (3 citations). Marina Bagić Babac has collaborated with scholars based in Croatia, Slovakia and Spain. Frequent co-authors include Vedran Podobnik, Ivica Botički, Vedran Mornar, Davor Romić, Mario Brčić, Marko Horvat, Marija Romić, Marina Bubalo Kovačić, Monika Zovko and Gabrijel Ondrašek. Their work appears in journals such as IEEE Access, Information Technology and People, Journal of Coastal Research, Neurocomputing and Online Information Review.
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.