Júlia Koltai

624 total citations
34 papers, 317 citations indexed

About

Júlia Koltai is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Health. According to data from OpenAlex, Júlia Koltai has authored 34 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 6 papers in Statistical and Nonlinear Physics and 5 papers in Health. Recurrent topics in Júlia Koltai's work include COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (5 papers) and Misinformation and Its Impacts (4 papers). Júlia Koltai is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (5 papers) and Misinformation and Its Impacts (4 papers). Júlia Koltai collaborates with scholars based in Hungary, Austria and United States. Júlia Koltai's co-authors include Éva Fodor, Márton Karsai, Gergely Röst, Zoltán Kmetty, Károly Takács, Orsolya Vásárhelyi, Péter Bíró, Balázs Lengyel, Bence Ságvári and Renáta Németh and has published in prestigious journals such as Nature Communications, Scientific Reports and Social Science & Medicine.

In The Last Decade

Júlia Koltai

29 papers receiving 296 citations

Peers

Júlia Koltai
Nina Cesare United States
Paul Michael Garrett Australia
Marlène Guillon France
Cosima Rughiniş Romania
Jad Melki Lebanon
Galina Daraganova Australia
Dima Hadid Lebanon
Raymond Vet Netherlands
Marc Höglinger Switzerland
Jiawei Liu United States
Nina Cesare United States
Júlia Koltai
Citations per year, relative to Júlia Koltai Júlia Koltai (= 1×) peers Nina Cesare

Countries citing papers authored by Júlia Koltai

Since Specialization
Citations

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

Fields of papers citing papers by Júlia Koltai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Júlia Koltai

This figure shows the co-authorship network connecting the top 25 collaborators of Júlia Koltai. A scholar is included among the top collaborators of Júlia Koltai 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 Júlia Koltai. Júlia Koltai 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
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Koltai, Júlia, et al.. (2024). Importance of social inequalities to contact patterns, vaccine uptake, and epidemic dynamics. Nature Communications. 15(1). 4137–4137. 9 indexed citations
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Krekó, Péter, et al.. (2024). When reality knocks on the door. The effect of conspiracy beliefs on COVID-19 vaccine acceptance and the moderating role of experience with the virus. Social Science & Medicine. 356. 117149–117149. 1 indexed citations
5.
Koltai, Júlia, et al.. (2024). Vaccination homophily in ego contact networks during the COVID-19 pandemic. Scientific Reports. 14(1). 15515–15515.
6.
Kmetty, Zoltán, et al.. (2024). Determinants of willingness to donate data from social media platforms. Information Communication & Society. 28(7). 1324–1349. 4 indexed citations
7.
Németh, Renáta & Júlia Koltai. (2023). Natural language processing. Intersections. 9(1). 5–22. 4 indexed citations
8.
Vizi, Zsolt, et al.. (2023). Real-time estimation of the effective reproduction number of COVID-19 from behavioral data. Scientific Reports. 13(1). 21452–21452. 2 indexed citations
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Koltai, Júlia, Orsolya Vásárhelyi, Gergely Röst, & Márton Karsai. (2022). Reconstructing social mixing patterns via weighted contact matrices from online and representative surveys. Scientific Reports. 12(1). 4690–4690. 15 indexed citations
11.
Koltai, Júlia, et al.. (2022). Understanding hesitancy with revealed preferences across COVID-19 vaccine types. Scientific Reports. 12(1). 13293–13293. 25 indexed citations
12.
Karsai, Márton, Júlia Koltai, Orsolya Vásárhelyi, & Gergely Röst. (2020). Hungary in Mask/MASZK in Hungary. Corvinus Research Archive (Corvinus University of Budapest). 139–146. 9 indexed citations
13.
Fodor, Éva, et al.. (2020). The impact of COVID-19 on the gender division of childcare work in Hungary. European Societies. 23(sup1). S95–S110. 87 indexed citations
14.
Kmetty, Zoltán, Júlia Koltai, & Tamás Rudas. (2020). The presence of occupational structure in online texts based on word embedding NLP models. arXiv (Cornell University). 2 indexed citations
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Mészner, Zsófia, et al.. (2017). A HPV-oltás és a szülői egészségértés – kanyargós út az oltásig. 58(4). 10–19. 3 indexed citations
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Koltai, Júlia, et al.. (2016). A magyarországi egészségértés nemzetközi összehasonlításban. 57(3). 3–20. 10 indexed citations
19.
Koltai, Júlia, et al.. (2016). Az egészségértés gyakorlati mérése Magyarországon és nemzetközi összehasonlításban | The practical measurement of health literacy in Hungary and in international comparison. 3 indexed citations
20.
Kmetty, Zoltán & Júlia Koltai. (2015). Kapcsolathálózatok mérése – elméleti és gyakorlati dilemmák, lehetőségek. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences).

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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