Eva Hečková

815 total citations
22 papers, 500 citations indexed

About

Eva Hečková is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cognitive Neuroscience. According to data from OpenAlex, Eva Hečková has authored 22 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pathology and Forensic Medicine and 4 papers in Cognitive Neuroscience. Recurrent topics in Eva Hečková's work include Advanced MRI Techniques and Applications (17 papers), Medical Imaging Techniques and Applications (7 papers) and Multiple Sclerosis Research Studies (5 papers). Eva Hečková is often cited by papers focused on Advanced MRI Techniques and Applications (17 papers), Medical Imaging Techniques and Applications (7 papers) and Multiple Sclerosis Research Studies (5 papers). Eva Hečková collaborates with scholars based in Austria, United States and Slovakia. Eva Hečková's co-authors include Wolfgang Bogner, Siegfried Trattnig, Bernhard Strasser, Gilbert Hangel, Stephan Gruber, Lukas Hingerl, Michal Považan, Philipp Moser, Stanislav Motyka and Roland N. Boubela and has published in prestigious journals such as NeuroImage, Radiology and Magnetic Resonance in Medicine.

In The Last Decade

Eva Hečková

22 papers receiving 499 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Hečková Austria 15 402 168 70 61 60 22 500
Lukas Hingerl Austria 14 454 1.1× 202 1.2× 100 1.4× 56 0.9× 34 0.6× 34 513
Josef Vymazal Czechia 13 472 1.2× 71 0.4× 28 0.4× 99 1.6× 61 1.0× 16 821
Philipp Moser Austria 14 290 0.7× 105 0.6× 51 0.7× 31 0.5× 48 0.8× 22 404
Francesca Frijia Italy 15 340 0.8× 237 1.4× 71 1.0× 34 0.6× 115 1.9× 68 606
Karl Landheer United States 12 276 0.7× 111 0.7× 39 0.6× 29 0.5× 51 0.8× 27 340
Stanislav Motyka Austria 12 303 0.8× 100 0.6× 44 0.6× 38 0.6× 17 0.3× 25 379
Arthur W. Magill Switzerland 16 462 1.1× 190 1.1× 144 2.1× 23 0.4× 122 2.0× 38 626
Dennis J. Sorce United States 13 445 1.1× 142 0.8× 34 0.5× 40 0.7× 19 0.3× 23 622
Isabelle Iltis United States 16 478 1.2× 185 1.1× 64 0.9× 199 3.3× 43 0.7× 21 859
Esin Öztürk-Işık Türkiye 16 479 1.2× 143 0.9× 78 1.1× 40 0.7× 30 0.5× 54 655

Countries citing papers authored by Eva Hečková

Since Specialization
Citations

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

Fields of papers citing papers by Eva Hečková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Hečková

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Hečková. A scholar is included among the top collaborators of Eva Hečková 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 Eva Hečková. Eva Hečková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hečková, Eva, Assunta Dal‐Bianco, Bernhard Strasser, et al.. (2022). Extensive Brain Pathologic Alterations Detected with 7.0-T MR Spectroscopic Imaging Associated with Disability in Multiple Sclerosis. Radiology. 303(1). 141–150. 21 indexed citations
2.
Motyka, Stanislav, Lukas Hingerl, Bernhard Strasser, et al.. (2021). k‐Space‐based coil combination via geometric deep learning for reconstruction of non‐Cartesian MRSI data. Magnetic Resonance in Medicine. 86(5). 2353–2367. 9 indexed citations
3.
Schön, Martin, Patrik Krumpolec, Veronika Tirpáková, et al.. (2021). Effects of Short- and Long-Term Aerobic-Strength Training and Determinants of Walking Speed in the Elderly. Gerontology. 68(2). 151–161. 7 indexed citations
4.
Kantorová, Ema, Petra Hnilicová, Wolfgang Bogner, et al.. (2021). Positivity of oligoclonal bands in the cerebrospinal fluid predisposed to metabolic changes and rearrangement of inhibitory/excitatory neurotransmitters in subcortical brain structures in multiple sclerosis. Multiple Sclerosis and Related Disorders. 52. 102978–102978. 5 indexed citations
5.
Imrich, Richard, Miroslav Vlček, Adela Penesová, et al.. (2021). Cardiac autonomic function in patients with early multiple sclerosis. Clinical Autonomic Research. 31(4). 553–562. 3 indexed citations
6.
Hangel, Gilbert, Benjamin Spurny‐Dworak, Lukas Hingerl, et al.. (2021). Inter‐subject stability and regional concentration estimates of 3D‐FID‐MRSI in the human brain at 7 T. NMR in Biomedicine. 34(12). e4596–e4596. 10 indexed citations
7.
Kantorová, Ema, Petra Hnilicová, Wolfgang Bogner, et al.. (2021). Neurocognitive performance in relapsing-remitting multiple sclerosis patients is associated with metabolic abnormalities of the thalamus but not the hippocampus– GABA-edited 1H MRS study. Neurological Research. 44(1). 57–64. 5 indexed citations
8.
Hangel, Gilbert, Julia Furtner, Eva Hečková, et al.. (2020). High-resolution metabolic imaging of high-grade gliomas using 7T-CRT-FID-MRSI. NeuroImage Clinical. 28. 102433–102433. 37 indexed citations
9.
Spurny‐Dworak, Benjamin, René Seiger, Philipp Moser, et al.. (2019). Hippocampal GABA levels correlate with retrieval performance in an associative learning paradigm. NeuroImage. 204. 116244–116244. 28 indexed citations
10.
Spurny‐Dworak, Benjamin, Eva Hečková, René Seiger, et al.. (2019). Automated ROI-Based Labeling for Multi-Voxel Magnetic Resonance Spectroscopy Data Using FreeSurfer. Frontiers in Molecular Neuroscience. 12. 28–28. 16 indexed citations
11.
Hangel, Gilbert, Saurabh Jain, Elisabeth Springer, et al.. (2019). High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T. NeuroImage. 191. 587–595. 27 indexed citations
12.
Hingerl, Lukas, Bernhard Strasser, Philipp Moser, et al.. (2019). Clinical High-Resolution 3D-MR Spectroscopic Imaging of the Human Brain at 7 T. Investigative Radiology. 55(4). 239–248. 55 indexed citations
13.
Moser, Philipp, Wolfgang Bogner, Lukas Hingerl, et al.. (2019). Non‐Cartesian GRAPPA and coil combination using interleaved calibration data – application to concentric‐ring MRSI of the human brain at 7T. Magnetic Resonance in Medicine. 82(5). 1587–1603. 24 indexed citations
14.
Motyka, Stanislav, Philipp Moser, Lukas Hingerl, et al.. (2019). The influence of spatial resolution on the spectral quality and quantification accuracy of whole‐brain MRSI at 1.5T, 3T, 7T, and 9.4T. Magnetic Resonance in Medicine. 82(2). 551–565. 21 indexed citations
15.
Hečková, Eva, Bernhard Strasser, Gilbert Hangel, et al.. (2018). 7 T Magnetic Resonance Spectroscopic Imaging in Multiple Sclerosis. Investigative Radiology. 54(4). 247–254. 23 indexed citations
16.
Hingerl, Lukas, Wolfgang Bogner, Philipp Moser, et al.. (2017). Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T. Magnetic Resonance in Medicine. 79(6). 2874–2885. 41 indexed citations
17.
Hečková, Eva, Michal Považan, Bernhard Strasser, et al.. (2017). Real-time Correction of Motion and Imager Instability Artifacts during 3D γ-Aminobutyric Acid–edited MR Spectroscopic Imaging. Radiology. 286(2). 666–675. 19 indexed citations
18.
Považan, Michal, Bernhard Strasser, Gilbert Hangel, et al.. (2017). Simultaneous mapping of metabolites and individual macromolecular components via ultra‐short acquisition delay 1H MRSI in the brain at 7T. Magnetic Resonance in Medicine. 79(3). 1231–1240. 38 indexed citations
19.
Gruber, Stephan, Eva Hečková, Bernhard Strasser, et al.. (2017). Mapping an Extended Neurochemical Profile at 3 and 7 T Using Accelerated High-Resolution Proton Magnetic Resonance Spectroscopic Imaging. Investigative Radiology. 52(10). 631–639. 25 indexed citations
20.
Hangel, Gilbert, Bernhard Strasser, Michal Považan, et al.. (2016). Ultra-high resolution brain metabolite mapping at 7 T by short-TR Hadamard-encoded FID-MRSI. NeuroImage. 168. 199–210. 70 indexed citations

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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