Judit Haász
- Cognitive Neuroscience top 10%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Rehabilitation top 10%
- Co-authors
- Astri J. LundervoldArvid LundervoldErlend HodnelandMartin YstadSteinunn AdólfsdóttirTom EicheleThomas EspesethHalvor Næss
- Topics
- Advanced Neuroimaging Techniques and Applications (6 papers)Functional Brain Connectivity Studies (5 papers)Glioma Diagnosis and Treatment (4 papers)
In The Last Decade
Judit Haász
14 papers receiving 412 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 166
- Epidemiology 137
- Radiology, Nuclear Medicine and Imaging 124
- Pulmonary and Respiratory Medicine 67
- Rehabilitation 60
Countries citing papers authored by Judit Haász
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Tenecteplase versus alteplase for the management of acute ischaemic stroke in Norway (NOR-TEST 2, part A): a phase 3, randomised, open-label, blinded endpoint, non-inferiority trialbreakdown → | 124 |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 19 | |
| 7 | 22 | |
| 8 | 48 | |
| 9 | 15 | |
| 10 | Fast marching tractography from multiple diffusion sensitizing directions in MR-DTI from the brain | 2 |
| 11 | 16 | |
| 12 | Automated workflow for spatial alignment of multimodal MR image acquisitions in a longitudinal study of cognitive aging | 1 |
| 13 | 123 | |
| 14 | 25 |
About Judit Haász
Judit Haász is a scholar working on Computational Mathematics, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 418 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (5 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Internal Medicine (37 citations), Rehabilitation (60 citations) and Cognitive Neuroscience (166 citations). Judit Haász has collaborated with scholars based in Norway, Germany and Brazil. Frequent co-authors include Astri J. Lundervold, Arvid Lundervold, Erlend Hodneland, Martin Ystad, Steinunn Adólfsdóttir, Tom Eichele, Thomas Espeseth, Halvor Næss, Titto Idicula and Agnethe Eltoft. Their work appears in journals such as Journal of Clinical Oncology, NeuroImage and The Lancet Neurology.
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.