A. Gacsádi

21 papers and 121 indexed citations i.

About

A. Gacsádi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, A. Gacsádi has authored 21 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in A. Gacsádi’s work include Neural Networks Stability and Synchronization (10 papers), Neural Networks and Applications (9 papers) and Image and Signal Denoising Methods (6 papers). A. Gacsádi is often cited by papers focused on Neural Networks Stability and Synchronization (10 papers), Neural Networks and Applications (9 papers) and Image and Signal Denoising Methods (6 papers). A. Gacsádi collaborates with scholars based in Romania and Hungary. A. Gacsádi's co-authors include Ioan Buciu, Péter Szolgay, P. Szolgay, Zoltán Kincses and Zoltán Nagy and has published in prestigious journals such as Biomedical Signal Processing and Control, International Journal of Computers Communications & Control and International Review of Applied Sciences and Engineering.

In The Last Decade

Co-authorship network of co-authors of A. Gacsádi i

Fields of papers citing papers by A. Gacsádi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by A. Gacsádi

Since Specialization
Citations

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