Júlia Koltai
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Social Capital and Networks 4
- Misinformation and Its Impacts 3
- Privacy, Security, and Data Protection 3
-
- Opinion Dynamics and Social Influence 4
- Co-authors
- Éva Fodor (1 shared paper)Eszter Kováts (1 shared paper)Márton Karsai (5 shared papers)Gergely Röst (5 shared papers)Zoltán Kmetty (8 shared papers)Károly Takács (1 shared paper)Orsolya Vásárhelyi (2 shared papers)Bence Ságvári (2 shared papers)
- Journals
- Scientific Reports (5 papers)Social Networks (2 papers)International Journal of Sociology (2 papers)Sensors (2 papers)Nature Communications (1 paper)
- Partner nations
- HungaryAustriaUnited States
In The Last Decade
Júlia Koltai
30 papers receiving 315 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 35
- Health 55
- Music 11
- Sociology and Political Science 127
- Gender Studies 26
Countries citing papers authored by Júlia Koltai
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
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-authors
The 22 scholars most cited alongside Júlia Koltai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2022 | 29 | |
| 3 | 2018 | 25 | |
| 4 | 2021 | 21 | |
| 5 | 2019 | 20 | |
| 6 | 2016 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2016 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2017 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2024 | 4 |
About Júlia Koltai
Júlia Koltai is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Health, Modeling and Simulation and Communication, having authored 35 papers that have together received 336 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (5 papers), Social Capital and Networks (4 papers), Opinion Dynamics and Social Influence (4 papers), Computational and Text Analysis Methods (3 papers), Hungarian Social, Economic and Educational Studies (3 papers), Misinformation and Its Impacts (3 papers) and Privacy, Security, and Data Protection (3 papers). The work is most often cited by research in Modeling and Simulation (35 citations), Health (55 citations), Music (11 citations), Sociology and Political Science (127 citations) and Gender Studies (26 citations). Júlia Koltai has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Éva Fodor, Eszter Kováts, Márton Karsai, Gergely Röst, Zoltán Kmetty, Károly Takács, Orsolya Vásárhelyi, Bence Ságvári, Péter Bíró and Balázs Lengyel. Their work appears in journals such as Scientific Reports, Social Networks, International Journal of Sociology, Sensors and Nature Communications.
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.