István Barakonyi

31 total papers · 724 total citations
22 papers, 439 citations indexed

About

István Barakonyi is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, István Barakonyi has authored 22 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 12 papers in Human-Computer Interaction and 8 papers in Control and Systems Engineering. Recurrent topics in István Barakonyi's work include Augmented Reality Applications (17 papers), Interactive and Immersive Displays (10 papers) and Human Motion and Animation (8 papers). István Barakonyi is often cited by papers focused on Augmented Reality Applications (17 papers), Interactive and Immersive Displays (10 papers) and Human Motion and Animation (8 papers). István Barakonyi collaborates with scholars based in Austria, Japan and United Kingdom. István Barakonyi's co-authors include Dieter Schmalstieg, Daniel Wägner, Alessandro Mulloni, Mitsuru Ishizuka, Gerhard Schall, Gerhard Reitmayr, Florian Ledermann, Joseph Newman, Naiwala P. Chandrasiri and Takeshi Naemura and has published in prestigious journals such as IEEE Computer Graphics and Applications, IEEE Pervasive Computing and IEEE Multimedia.

In The Last Decade

István Barakonyi

22 papers receiving 403 citations

Author Peers

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

Author						Papers	Cites
István Barakonyi	290	161	142	83	56	22	439
Erich Bruns	313 1.1×	124 0.8×	95 0.7×	103 1.2×	26 0.5×	19	414
Raquel Frizera Vassallo	252 0.9×	80 0.5×	59 0.4×	168 2.0×	70 1.3×	49	490
Pedro Revenga	247 0.9×	95 0.6×	81 0.6×	40 0.5×	26 0.5×	32	454
Zhanpeng Shao	250 0.9×	138 0.9×	89 0.6×	36 0.4×	26 0.5×	39	440
Chuyu Wang	117 0.4×	109 0.7×	279 2.0×	64 0.8×	59 1.1×	35	479
Junho Seo	81 0.3×	59 0.4×	129 0.9×	45 0.5×	112 2.0×	36	370
Nan Wu	76 0.3×	82 0.5×	89 0.6×	44 0.5×	66 1.2×	28	370
Stefano Alletto	246 0.8×	68 0.4×	110 0.8×	22 0.3×	115 2.1×	18	449
Dominik Joho	168 0.6×	63 0.4×	103 0.7×	103 1.2×	24 0.4×	13	398
Pramod Abichandani	132 0.5×	33 0.2×	56 0.4×	106 1.3×	106 1.9×	34	487

Countries citing papers authored by István Barakonyi

Since Specialization

Citations

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

Fields of papers citing papers by István Barakonyi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of István Barakonyi

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