Ferenc Huszár

64 total papers · 22.8k total citations
18 papers, 12.2k citations indexed

About

Ferenc Huszár is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Ferenc Huszár has authored 18 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Media Technology. Recurrent topics in Ferenc Huszár's work include Gaussian Processes and Bayesian Inference (7 papers), Advanced Image Processing Techniques (5 papers) and Image Processing Techniques and Applications (4 papers). Ferenc Huszár is often cited by papers focused on Gaussian Processes and Bayesian Inference (7 papers), Advanced Image Processing Techniques (5 papers) and Image Processing Techniques and Applications (4 papers). Ferenc Huszár collaborates with scholars based in United Kingdom, United States and Germany. Ferenc Huszár's co-authors include Wenzhe Shi, José Caballero, Johannes Totz, Andrew P. Aitken, Zehan Wang, Lucas Theis, Andrew Cunningham, Alykhan Tejani, Alejandro Acosta and Christian Ledig and has published in prestigious journals such as Current Biology, Physical Review A and Patterns.

In The Last Decade

Ferenc Huszár

17 papers receiving 11.9k citations

Hit Papers

Photo-Realistic Single Im... 2016 2026 2019 2022 2017 2016 2.0k 4.0k 6.0k

Author Peers

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

Author Last Decade Papers Cites
Ferenc Huszár 9.9k 4.6k 1.2k 740 648 18 12.2k
Johannes Totz 10.2k 1.0× 4.8k 1.0× 913 0.8× 757 1.0× 722 1.1× 12 12.3k
Andrew P. Aitken 10.1k 1.0× 4.8k 1.0× 912 0.8× 890 1.2× 672 1.0× 11 12.5k
Zehan Wang 10.2k 1.0× 4.8k 1.0× 984 0.8× 845 1.1× 717 1.1× 48 12.6k
Lucas Theis 6.9k 0.7× 2.7k 0.6× 856 0.7× 541 0.7× 436 0.7× 23 8.6k
Wenzhe Shi 11.0k 1.1× 4.9k 1.1× 1.2k 1.0× 1.2k 1.7× 906 1.4× 61 13.9k
José Caballero 10.8k 1.1× 4.9k 1.1× 1.1k 0.9× 2.1k 2.9× 1.1k 1.7× 14 14.1k
Alejandro Acosta 6.6k 0.7× 2.9k 0.6× 723 0.6× 535 0.7× 438 0.7× 34 8.2k
Alykhan Tejani 6.4k 0.6× 2.7k 0.6× 740 0.6× 517 0.7× 452 0.7× 11 7.8k
Christian Ledig 8.1k 0.8× 3.0k 0.7× 1.4k 1.1× 1.8k 2.5× 933 1.4× 43 11.6k
Chao Dong 8.9k 0.9× 4.8k 1.1× 442 0.4× 553 0.7× 593 0.9× 60 10.6k

Countries citing papers authored by Ferenc Huszár

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc Huszár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferenc Huszár

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