Marina Bagić Babac

440 total citations
34 papers, 236 citations indexed

About

Marina Bagić Babac is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Marina Bagić Babac has authored 34 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Sociology and Political Science and 4 papers in Information Systems. Recurrent topics in Marina Bagić Babac's work include Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (5 papers) and Misinformation and Its Impacts (4 papers). Marina Bagić Babac is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (5 papers) and Misinformation and Its Impacts (4 papers). Marina Bagić Babac collaborates with scholars based in Croatia, Slovakia and Spain. Marina Bagić Babac's co-authors include Vedran Podobnik, Ivica Botički, Vedran Mornar, Mario Brčić, Davor Romić, Marko Horvat, Marija Romić, Marina Bubalo Kovačić, Monika Zovko and Gabrijel Ondrašek and has published in prestigious journals such as IEEE Access, Neurocomputing and Journal of Coastal Research.

In The Last Decade

Marina Bagić Babac

29 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Bagić Babac Croatia 8 106 93 34 33 17 34 236
Manar Alkhatib United Arab Emirates 8 125 1.2× 53 0.6× 33 1.0× 23 0.7× 15 0.9× 27 232
Phoey Lee Teh Malaysia 10 127 1.2× 70 0.8× 42 1.2× 26 0.8× 22 1.3× 40 256
Despoina Antonakaki Greece 8 143 1.3× 98 1.1× 89 2.6× 31 0.9× 18 1.1× 13 294
Mikołaj Morzy Poland 9 91 0.9× 75 0.8× 73 2.1× 16 0.5× 19 1.1× 40 252
Andrés Abeliuk United States 9 61 0.6× 58 0.6× 40 1.2× 26 0.8× 9 0.5× 21 199
Michelle S. Lam United States 7 113 1.1× 52 0.6× 25 0.7× 32 1.0× 7 0.4× 12 216
Nadia Metoui Netherlands 6 74 0.7× 126 1.4× 42 1.2× 61 1.8× 18 1.1× 7 214
Jack Bandy United States 7 71 0.7× 110 1.2× 36 1.1× 67 2.0× 13 0.8× 15 238
Omar Alqaryouti United Arab Emirates 6 101 1.0× 56 0.6× 47 1.4× 17 0.5× 5 0.3× 12 217
Chuanming Yu China 10 168 1.6× 124 1.3× 65 1.9× 35 1.1× 18 1.1× 35 293

Countries citing papers authored by Marina Bagić Babac

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Marina Bagić Babac

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Bagić Babac. A scholar is included among the top collaborators of Marina Bagić Babac 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 Marina Bagić Babac. Marina Bagić Babac 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.
Babac, Marina Bagić, et al.. (2025). Exploring the VIA classification of human strengths and virtues using topic modeling. Information Discovery and Delivery. 54(2). 141–157.
2.
Babac, Marina Bagić, et al.. (2024). Comparing Machine Learning Models for Sentiment Analysis and Rating Prediction of Vegan and Vegetarian Restaurant Reviews. Computers. 13(10). 248–248. 2 indexed citations
3.
Babac, Marina Bagić, et al.. (2024). Quantitative analysis of the relationship between expressing gratitude and forgiveness and user sentiment on social media. Global Knowledge Memory and Communication. 74(11). 42–62. 2 indexed citations
4.
Romić, Marija, et al.. (2024). Utilizing Artificial Intelligence (AI) to Develop Soil Health Index for Salinized Coastal Agricultural Land. Journal of Coastal Research. 113(sp1). 1 indexed citations
5.
Babac, Marina Bagić, et al.. (2024). Developing a data pipeline solution for big data processing. International Journal of Data Mining Modelling and Management. 16(1). 1–22. 4 indexed citations
6.
Babac, Marina Bagić, et al.. (2024). Artificial intelligence in classifying and creating art: a survey. 2(1). 59–89. 1 indexed citations
7.
Babac, Marina Bagić. (2023). Emotional showdown on social media: analyzing user reactions to the 2016 US presidential campaign. Global Knowledge Memory and Communication. 74(11). 19–41. 3 indexed citations
8.
Babac, Marina Bagić, et al.. (2023). Preventing Security Incidents on Social Networks. University of Zagreb University Computing Centre (SRCE). 32(3). 239–270. 2 indexed citations
9.
Romić, Davor, Marija Romić, Marina Bagić Babac, et al.. (2023). Temporal Variations in Chemical Proprieties of Waterbodies within Coastal Polders: Forecast Modeling for Optimizing Water Management Decisions. Agriculture. 13(6). 1162–1162. 3 indexed citations
10.
Babac, Marina Bagić, et al.. (2023). Design, manufacturing and testing of a tail-sitter UAV capable of hovering. International Journal of Sustainable Aviation. 9(3). 240–261.
11.
Babac, Marina Bagić & Vedran Podobnik. (2023). World-class sporting events as arenas of emotional eruptions on social media. Soccer and Society. 25(1). 92–110. 4 indexed citations
12.
Babac, Marina Bagić, et al.. (2023). Effective Spam Detection with Machine Learning. 4(2). 43–64. 2 indexed citations
13.
Babac, Marina Bagić, et al.. (2023). Trends and Challenges of Text-to-Image Generation: Sustainability Perspective. 4(1). 56–77. 4 indexed citations
14.
Botički, Ivica, et al.. (2023). Detecting Deception Using Natural Language Processing and Machine Learning in Datasets on COVID-19 and Climate Change. Algorithms. 16(5). 221–221. 10 indexed citations
15.
Babac, Marina Bagić. (2022). Emotion analysis of user reactions to online news. Information Discovery and Delivery. 51(2). 179–193. 13 indexed citations
16.
Babac, Marina Bagić, et al.. (2022). Predicting sentiment and rating of tourist reviews using machine learning. Journal of Hospitality and Tourism Insights. 6(3). 1188–1204. 64 indexed citations
17.
Babac, Marina Bagić, et al.. (2021). The Use of Deep Reinforcement Learning for Flying a Drone.. Journal of information science and engineering. 37(5). 1165–1176. 1 indexed citations
18.
Babac, Marina Bagić & Vedran Mornar. (2020). Resetting the Initial Conditions for Calculating Epidemic Spread: COVID-19 Outbreak in Italy. IEEE Access. 8. 148021–148030. 3 indexed citations
19.
Babac, Marina Bagić & Vedran Podobnik. (2018). What social media activities reveal about election results? The use of Facebook during the 2015 general election campaign in Croatia. Information Technology and People. 31(2). 327–347. 25 indexed citations
20.
Babac, Marina Bagić, et al.. (2013). Model-based verification of the SIP invite scenario. International Convention on Information and Communication Technology, Electronics and Microelectronics. 841–846.

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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