Judit Haász

20 total papers · 588 total citations
14 papers, 415 citations indexed

About

Judit Haász is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Judit Haász has authored 14 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cognitive Neuroscience and 4 papers in Genetics. Recurrent topics in Judit Haász's work include Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (5 papers) and Advanced MRI Techniques and Applications (4 papers). Judit Haász is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (5 papers) and Advanced MRI Techniques and Applications (4 papers). Judit Haász collaborates with scholars based in Norway, Germany and Brazil. Judit Haász's co-authors include Astri J. Lundervold, Arvid Lundervold, Erlend Hodneland, Martin Ystad, Steinunn Adólfsdóttir, Tom Eichele, Thomas Espeseth, Christopher Elnan Kvistad, Kamaljit Kaur and Halvor Næss and has published in prestigious journals such as Journal of Clinical Oncology, NeuroImage and The Lancet Neurology.

In The Last Decade

Judit Haász

14 papers receiving 409 citations

Hit Papers

Tenecteplase versus altep... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Judit Haász 166 134 124 67 60 14 415
Diane Book 171 1.0× 185 1.4× 31 0.3× 107 1.6× 72 1.2× 7 457
Akiko Hosomi 71 0.4× 197 1.5× 117 0.9× 159 2.4× 30 0.5× 19 404
Anna K. Bonkhoff 189 1.1× 200 1.5× 116 0.9× 86 1.3× 159 2.6× 33 481
Paul Rinne 100 0.6× 109 0.8× 51 0.4× 55 0.8× 117 1.9× 10 374
Nick M. Murray 43 0.3× 171 1.3× 39 0.3× 106 1.6× 44 0.7× 17 408
Ranji Samaraweera 159 1.0× 132 1.0× 37 0.3× 96 1.4× 40 0.7× 11 409
Caroline Malherbe 263 1.6× 66 0.5× 130 1.0× 64 1.0× 12 0.2× 17 453
Catalina C. Ionita 46 0.3× 183 1.4× 34 0.3× 105 1.6× 55 0.9× 17 451
Marilou Ching 49 0.3× 155 1.2× 26 0.2× 58 0.9× 41 0.7× 21 398
Isabel Keller 37 0.2× 95 0.7× 72 0.6× 33 0.5× 32 0.5× 9 376

Countries citing papers authored by Judit Haász

Since Specialization
Citations

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

Fields of papers citing papers by Judit Haász

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judit Haász

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