A. Gacsádi

51 total papers · 422 total citations
42 papers, 283 citations indexed

About

A. Gacsádi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, A. Gacsádi has authored 42 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in A. Gacsádi's work include Neural Networks and Applications (23 papers), Neural Networks Stability and Synchronization (22 papers) and Image and Signal Denoising Methods (7 papers). A. Gacsádi is often cited by papers focused on Neural Networks and Applications (23 papers), Neural Networks Stability and Synchronization (22 papers) and Image and Signal Denoising Methods (7 papers). A. Gacsádi collaborates with scholars based in Romania, Hungary and Pakistan. A. Gacsádi's co-authors include Ioan Buciu, Péter Szolgay, P. Szolgay, Cătălin Daniel Căleanu, Joos Vandewalle and Zoltán Nagy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomedical Signal Processing and Control and International Journal of Computers Communications & Control.

In The Last Decade

A. Gacsádi

38 papers receiving 254 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A. Gacsádi 142 134 57 50 44 42 283
Saravanan Alagarsamy 119 0.8× 82 0.6× 17 0.3× 85 1.7× 37 0.8× 36 289
Basu Dev Shivahare 94 0.7× 106 0.8× 25 0.4× 61 1.2× 13 0.3× 31 330
P. Dayananda 57 0.4× 73 0.5× 46 0.8× 25 0.5× 7 0.2× 54 273
Bong-Soo Sohn 188 1.3× 86 0.6× 14 0.2× 33 0.7× 7 0.2× 31 332
Ayush Kumar 96 0.7× 147 1.1× 63 1.1× 12 0.2× 13 0.3× 43 318
Wooi-Haw Tan 125 0.9× 80 0.6× 41 0.7× 17 0.3× 8 0.2× 59 314
Min Dong 132 0.9× 87 0.6× 34 0.6× 16 0.3× 7 0.2× 39 302
Zhuwei Qin 97 0.7× 144 1.1× 29 0.5× 28 0.6× 14 0.3× 24 293
Fathe Jeribi 45 0.3× 80 0.6× 32 0.6× 30 0.6× 24 0.5× 33 309
Amani A. Alneil 64 0.5× 110 0.8× 55 1.0× 32 0.6× 5 0.1× 33 255

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Gacsádi. A scholar is included among the top collaborators of A. Gacsádi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Gacsádi. A. Gacsádi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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