Hungarian Central Statistical Office

289 papers and 3.5k indexed citations

About

In recent decades, authors affiliated with Hungarian Central Statistical Office have published 289 papers, which have received a total of 3.5k indexed citations. Scholars at this organization have produced 38 papers in Geography, Planning and Development, 35 papers in General Health Professions and 32 papers in Sociology and Political Science on the topics of Hungarian Social, Economic and Educational Studies (38 papers), Global Health Care Issues (20 papers) and Health disparities and outcomes (19 papers). Their work is cited by papers focused on General Health Professions (639 citations), Health (554 citations) and Sociology and Political Science (484 citations). Authors at Hungarian Central Statistical Office collaborate with scholars in Hungary, Netherlands and United States and have published in prestigious journals including The Lancet, Nature Communications and SHILAP Revista de lepidopterología. Some of Hungarian Central Statistical Office's most productive authors include Tamás Vicsek, Tamás Nepusz, Péter Józan, Katalin Kovács, Géza Tóth, Ferenc Ruff, Fruzsina Luca Kézér, Levente Kovács, Zoltán Rihmer and Johan P. Mackenbach.

In The Last Decade

Hungarian Central Statistical Office

243 papers receiving 3.3k citations

Countries citing scholars working at Hungarian Central Statistical Office

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Hungarian Central Statistical Office. 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 papers produced at Hungarian Central Statistical Office with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hungarian Central Statistical Office more than expected).

Fields of papers published by authors at Hungarian Central Statistical Office

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Hungarian Central Statistical Office at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Hungarian Central Statistical Office at the time of their publication.

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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