Acta Veterinaria Hungarica

1.2k papers and 11.4k indexed citations i.

About

The 1.2k papers published in Acta Veterinaria Hungarica in the last decades have received a total of 11.4k indexed citations. Papers published in Acta Veterinaria Hungarica usually cover Animal Science and Zoology (251 papers), Genetics (215 papers) and Agronomy and Crop Science (190 papers) specifically the topics of Viral Diseases in Livestock and Poultry (112 papers), Reproductive Physiology in Livestock (108 papers) and Microbial infections and disease research (92 papers). The most active scholars publishing in Acta Veterinaria Hungarica are Kálmán Molnár, Csaba Székely, E. Brzezińska-Ślebodzińska, Balázs Harrach, Edit Eszterbauer, S. Fekete, K. Vörös, Jänos Vetter, Levente Szeredi and Sándor Cseh.

In The Last Decade

Fields of papers published in Acta Veterinaria Hungarica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Acta Veterinaria Hungarica. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Acta Veterinaria Hungarica.

Countries where authors publish in Acta Veterinaria Hungarica

Since Specialization
Citations

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

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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