Acta Polytechnica Hungarica

1.4k papers and 10.9k indexed citations

About

The 1.4k papers published in Acta Polytechnica Hungarica in the last decades have received a total of 10.9k indexed citations. Papers published in Acta Polytechnica Hungarica usually cover Control and Systems Engineering (218 papers), Mechanical Engineering (193 papers) and Artificial Intelligence (154 papers) specifically the topics of Manufacturing Process and Optimization (45 papers), Robotics and Automated Systems (34 papers) and Railway Engineering and Dynamics (26 papers). The most active scholars publishing in Acta Polytechnica Hungarica are Péter Bárányi, Ádám Csapó, Mónika Garai-Fodor, Imre J. Rudas, József Katona, Attila Kővári, József K. Tar, Ágnes Csiszárik-Kocsír, László Horváth and Andrea Tick.

In The Last Decade

Acta Polytechnica Hungarica

1.1k papers receiving 9.2k citations

Countries where authors publish in Acta Polytechnica Hungarica

Since Specialization
Citations

This map shows the geographic impact of research published in Acta Polytechnica 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 Polytechnica 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 Polytechnica Hungarica more than expected).

Fields of papers published in Acta Polytechnica Hungarica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Acta Polytechnica 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 Polytechnica Hungarica.

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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