Tibor Ujbányi

17 total papers · 428 total citations
14 papers, 319 citations indexed

About

Tibor Ujbányi is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tibor Ujbányi has authored 14 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 8 papers in Human-Computer Interaction and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tibor Ujbányi's work include Robotics and Automated Systems (8 papers), Gaze Tracking and Assistive Technology (6 papers) and EEG and Brain-Computer Interfaces (4 papers). Tibor Ujbányi is often cited by papers focused on Robotics and Automated Systems (8 papers), Gaze Tracking and Assistive Technology (6 papers) and EEG and Brain-Computer Interfaces (4 papers). Tibor Ujbányi collaborates with scholars based in Hungary, Serbia and Slovakia. Tibor Ujbányi's co-authors include József Katona and Attila Kővári and has published in prestigious journals such as International Journal of Emerging Technologies in Learning (iJET), Híradástechnika/Infocommunications journal and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Tibor Ujbányi

13 papers receiving 299 citations

Author Peers

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

Author Last Decade Papers Cites
Tibor Ujbányi 113 112 105 70 36 14 319
Nadine E. Miner 94 0.8× 47 0.4× 33 0.3× 69 1.0× 73 2.0× 20 286
Jiayang Huang 62 0.5× 78 0.7× 33 0.3× 24 0.3× 68 1.9× 31 300
BoYu Gao 103 0.9× 41 0.4× 151 1.4× 58 0.8× 122 3.4× 44 362
Yun Lu 153 1.4× 78 0.7× 64 0.6× 26 0.4× 18 0.5× 31 357
Ce Zhang 143 1.3× 39 0.3× 43 0.4× 25 0.4× 32 0.9× 22 356
David Balderas 90 0.8× 71 0.6× 20 0.2× 74 1.1× 28 0.8× 23 352
Dana Hughes 90 0.8× 63 0.6× 60 0.6× 39 0.6× 23 0.6× 25 266
Mario Michael Krell 155 1.4× 32 0.3× 28 0.3× 65 0.9× 23 0.6× 23 276
Yaoru Sun 170 1.5× 20 0.2× 56 0.5× 24 0.3× 32 0.9× 22 326
Damien Petit 106 0.9× 155 1.4× 111 1.1× 61 0.9× 44 1.2× 26 325

Countries citing papers authored by Tibor Ujbányi

Since Specialization
Citations

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

Fields of papers citing papers by Tibor Ujbányi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tibor Ujbányi

This figure shows the co-authorship network connecting the top 25 collaborators of Tibor Ujbányi. A scholar is included among the top collaborators of Tibor Ujbányi 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 Tibor Ujbányi. Tibor Ujbányi 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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