István Hegedüs

About

István Hegedüs is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Science Applications. According to data from OpenAlex, István Hegedüs has authored 25 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 5 papers in Computer Science Applications. Recurrent topics in István Hegedüs’s work include Adaptation to Concept Drift in Data Streams (8 papers), Privacy-Preserving Technologies in Data (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). István Hegedüs is often cited by papers focused on Adaptation to Concept Drift in Data Streams (8 papers), Privacy-Preserving Technologies in Data (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). István Hegedüs collaborates with scholars based in Hungary, France and United States. István Hegedüs's co-authors include Márk Jelasity, Róbert Ormándi, Levente Kocsis, Róbert Busa‐Fekete, Balázs Kégl, Balázs Szörényi, András A. Benczúr, George Ś. Springer, Adnan Ibrahimbegović and Noémi Sándor and has published in prestigious journals such as Engineering Structures, Knowledge-Based Systems and Journal of Composite Materials.

In The Last Decade

Co-authorship network of co-authors of István Hegedüs i

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Fields of papers citing papers by István Hegedüs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by István Hegedüs

Since Specialization

Citations

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