Tamás Joó

48.0k total citations
26 papers, 88 citations indexed

About

Tamás Joó is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Tamás Joó has authored 26 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in General Health Professions. Recurrent topics in Tamás Joó's work include Hungarian Social, Economic and Educational Studies (3 papers), Nutritional Studies and Diet (2 papers) and Privacy, Security, and Data Protection (2 papers). Tamás Joó is often cited by papers focused on Hungarian Social, Economic and Educational Studies (3 papers), Nutritional Studies and Diet (2 papers) and Privacy, Security, and Data Protection (2 papers). Tamás Joó collaborates with scholars based in Hungary, United States and Romania. Tamás Joó's co-authors include Péter Pollner, Tamás Palicz, Gergely Palla, Viktor Dombrádi, Éva Belicza, András Hajdú, Melinda Pénzes, István Csabai, Miklós Szócska and Viktória Szerencsés and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and BMC Public Health.

In The Last Decade

Tamás Joó

23 papers receiving 86 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamás Joó Hungary 6 21 16 14 12 11 26 88
Nguyen Thanh Dung Vietnam 5 6 0.3× 10 0.6× 12 0.9× 7 0.6× 19 1.7× 12 108
Marina Soltan United Kingdom 6 9 0.4× 8 0.5× 14 1.0× 5 0.4× 3 0.3× 9 72
Cecilia Okusi United Kingdom 6 8 0.4× 35 2.2× 9 0.6× 4 0.3× 29 2.6× 16 101
Nicholas Link United States 5 16 0.8× 32 2.0× 37 2.6× 3 0.3× 19 1.7× 5 115
Dale Ventour Trinidad and Tobago 4 9 0.4× 11 0.7× 9 0.6× 3 0.3× 4 0.4× 11 51
Rose Stewart United Kingdom 7 5 0.2× 21 1.3× 6 0.4× 4 0.3× 15 1.4× 15 119
Manasa Tripathy United Kingdom 6 17 0.8× 20 1.3× 9 0.6× 3 0.3× 54 4.9× 13 106
Ruqin Gao China 4 6 0.3× 36 2.3× 2 0.1× 8 0.7× 9 0.8× 10 85
Hoda Abbasizanjani United Kingdom 5 7 0.3× 15 0.9× 6 0.4× 15 1.4× 16 63
Chea Stanford Wesseh Liberia 5 10 0.5× 12 0.8× 1 0.1× 15 1.3× 10 0.9× 5 59

Countries citing papers authored by Tamás Joó

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Joó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Joó

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Joó. A scholar is included among the top collaborators of Tamás Joó 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 Tamás Joó. Tamás Joó 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.
Pollner, Péter, et al.. (2025). Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems. Machine Learning and Knowledge Extraction. 7(1). 15–15. 10 indexed citations
2.
Banczerowski, Péter, et al.. (2025). Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods. Sci. 7(1). 18–18. 1 indexed citations
3.
Joó, Tamás, et al.. (2024). Az egészségkárosodás társadalmi költségei a munkaképes korú lakosság körében 2019-ben Magyarországon. Orvosi Hetilap. 165(3). 110–120. 3 indexed citations
4.
Pénzes, Melinda, et al.. (2024). „Egészségpart” mobil nyári szűrő- és egészség-edukációs programsorozat: a 2021–2023. évek között megvalósult programok értékelése. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 23(1). 39–48.
5.
Pollner, Péter, et al.. (2024). A multimodal deep learning architecture for smoking detection with a small data approach. Frontiers in Artificial Intelligence. 7. 1326050–1326050. 4 indexed citations
7.
Berezvai, Zombor, et al.. (2024). Long-term impact of unhealthy food tax on consumption and the drivers behind: A longitudinal study in Hungary. Health Policy. 146. 105098–105098.
8.
Palicz, Tamás, et al.. (2022). Biztonságtudatosság a kibertérben – a 2020-as országos lakossági felmérés eredményei. SHILAP Revista de lepidopterología. 70(2). 395–418. 1 indexed citations
10.
Joó, Tamás, et al.. (2022). Physical imaging parameter variation drives domain shift. Scientific Reports. 12(1). 21302–21302. 12 indexed citations
13.
Szerencsés, Viktória, et al.. (2021). A Covid19 járvány során hozott egészségügyi intézkedések és hatásaik Magyarországon és Ausztriában. SHILAP Revista de lepidopterología. 69(1). 123–142. 2 indexed citations
14.
Gaál, Péter, Miklós Szócska, Tamás Joó, & Tamás Palicz. (2021). Population Movement Monitoring Based on Mobile Phone Usage Data to Support Pandemic Decision Making.. ERCIM news/ERCIM news online edition. 2021. 1 indexed citations
16.
Dombrádi, Viktor, Tamás Joó, Gergely Palla, Péter Pollner, & Éva Belicza. (2021). Comparison of hesitancy between COVID-19 and seasonal influenza vaccinations within the general Hungarian population: a cross-sectional study. BMC Public Health. 21(1). 2317–2317. 18 indexed citations
17.
Szócska, Miklós, et al.. (2021). A digitális egészségügyi ökoszisztéma fogalmának és elemeinek nemzetközi és hazai áttekintése. Információs Társadalom. 21(3). 47–47. 2 indexed citations
18.
Palicz, Tamás, et al.. (2021). Magyar kórházakban előfordult zsarolóvírus támadások esetei. 20(1). 32–38.
19.
Palicz, Tamás, et al.. (2020). „Pénzt vagy életet!” – Zsarolóvírusok az egészségügyi informatikai rendszerekben. Orvosi Hetilap. 161(36). 1498–1505. 6 indexed citations
20.
Joó, Tamás, Miklós Szócska, Zoltán Vokó, et al.. (2018). The impact of anti-smoking policies of the 2010-2014 Hungarian government - a comprehensive evaluation. Tobacco Induced Diseases. 16(1). 2 indexed citations

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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