Jaroslav Tintěra

3.2k total citations
131 papers, 2.3k citations indexed

About

Jaroslav Tintěra is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Jaroslav Tintěra has authored 131 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Cognitive Neuroscience and 16 papers in Neurology. Recurrent topics in Jaroslav Tintěra's work include Advanced Neuroimaging Techniques and Applications (31 papers), Advanced MRI Techniques and Applications (28 papers) and Functional Brain Connectivity Studies (26 papers). Jaroslav Tintěra is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (31 papers), Advanced MRI Techniques and Applications (28 papers) and Functional Brain Connectivity Studies (26 papers). Jaroslav Tintěra collaborates with scholars based in Czechia, Germany and United States. Jaroslav Tintěra's co-authors include Ibrahim Ibrahim, Jiřı́ Horáček, Jaroslav Hlinka, Milan Hájek, Cyril Höschl, Peter Stoeter, Antonín Škoch, Filip Španiel, Joachim Gawehn and Oliver Profant and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Jaroslav Tintěra

123 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaroslav Tintěra Czechia 29 701 577 334 303 262 131 2.3k
Bernd Schmitz Germany 34 494 0.7× 812 1.4× 517 1.5× 251 0.8× 296 1.1× 129 3.3k
Henry Ka‐Fung Mak Hong Kong 25 483 0.7× 677 1.2× 517 1.5× 158 0.5× 157 0.6× 101 1.9k
Armin de Greiff Germany 25 875 1.2× 525 0.9× 294 0.9× 180 0.6× 118 0.5× 51 2.1k
Rüdiger Ilg Germany 17 945 1.3× 577 1.0× 210 0.6× 285 0.9× 108 0.4× 31 2.1k
Natalie A. Royle United Kingdom 29 1.0k 1.5× 979 1.7× 406 1.2× 388 1.3× 221 0.8× 64 3.1k
Francesca B. Pizzini Italy 31 519 0.7× 901 1.6× 533 1.6× 526 1.7× 126 0.5× 105 2.8k
Giuseppe Esposito Switzerland 30 867 1.2× 712 1.2× 783 2.3× 203 0.7× 121 0.5× 142 3.4k
Yasuhiro Nagahama Japan 28 1.2k 1.6× 450 0.8× 662 2.0× 301 1.0× 146 0.6× 69 2.8k
Honghan Gong China 28 1.4k 1.9× 670 1.2× 216 0.6× 154 0.5× 172 0.7× 80 2.2k
Cláudio Campi de Castro Brazil 26 968 1.4× 528 0.9× 226 0.7× 170 0.6× 132 0.5× 76 2.3k

Countries citing papers authored by Jaroslav Tintěra

Since Specialization
Citations

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

Fields of papers citing papers by Jaroslav Tintěra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaroslav Tintěra

This figure shows the co-authorship network connecting the top 25 collaborators of Jaroslav Tintěra. A scholar is included among the top collaborators of Jaroslav Tintěra 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 Jaroslav Tintěra. Jaroslav Tintěra 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.
2.
Tomeček, David, Iveta Fajnerová, Filip Děchtěrenko, et al.. (2025). Deviation From Typical Brain Activity During Naturalistic Stimulation Is Related to Personality Traits. Psychophysiology. 62(12). e70203–e70203.
3.
Fučík, Radek, et al.. (2023). Non-Newtonian turbulent flow through aortic phantom: Experimental and computational study using magnetic resonance imaging and lattice Boltzmann method. Computers & Mathematics with Applications. 136. 80–94. 5 indexed citations
4.
Ibrahim, Ibrahim, Jaroslav Tintěra, Aleš Bartoš, et al.. (2023). Basal Ganglia Compensatory White Matter Changes on DTI in Alzheimer’s Disease. Cells. 12(9). 1220–1220. 4 indexed citations
5.
Mareš, Jan, Antonín Škoch, Jakub Kopál, et al.. (2022). Multimodal-neuroimaging machine-learning analysis of motor disability in multiple sclerosis. Brain Imaging and Behavior. 17(1). 18–34. 7 indexed citations
6.
Profant, Oliver, et al.. (2022). Functional changes in the auditory cortex and associated regions caused by different acoustic stimuli in patients with presbycusis and tinnitus. Frontiers in Neuroscience. 16. 921873–921873. 8 indexed citations
7.
Koriťáková, Eva, et al.. (2020). Reliability of the Evaluation of MRI Examinations after the Treatment of Chondral Defects in the Knee Joint. Acta chirurgiae orthopaedicae et traumatologiae Cechoslovaca. 87(4). 251–258. 1 indexed citations
8.
9.
Zach, Petr, et al.. (2020). Easy Identification of Optimal Coronal Slice on Brain Magnetic Resonance Imaging to Measure Hippocampal Area in Alzheimer’s Disease Patients. BioMed Research International. 2020(1). 5894021–5894021. 2 indexed citations
10.
Fučík, Radek, et al.. (2020). Investigation of phase-contrast magnetic resonance imaging underestimation of turbulent flow through the aortic valve phantom: experimental and computational study using lattice Boltzmann method. Magnetic Resonance Materials in Physics Biology and Medicine. 33(5). 649–662. 8 indexed citations
11.
Krhút, Jan, Petr Holý, Jaroslav Tintěra, et al.. (2014). Brain activity associated with urinary bladder filling in patients with a complete spinal cord injury (SCI)- a fMRI study. Neurourology and Urodynamics. 1 indexed citations
12.
Chabiniok, Radomí­r, et al.. (2013). Segmentation of MRI data by means of nonlinear diffusion. Kybernetika. 49(2). 301–318. 1 indexed citations
13.
Ibrahim, Ibrahim, Jaroslav Tintěra, Antonín Škoch, et al.. (2011). Fractional anisotropy and mean diffusivity in the corpus callosum of patients with multiple sclerosis: the effect of physiotherapy. Neuroradiology. 53(11). 917–926. 47 indexed citations
14.
15.
Žižka, Ján, et al.. (2006). Liver, meconium, haemorrhage: the value of T1-weighted images in fetal MRI. Pediatric Radiology. 36(8). 792–801. 34 indexed citations
16.
Tintěra, Jaroslav, et al.. (2004). Quantification of Intra-Abdominal Fat During Controlled Weight Reduction: Assessment Using the Water-Suppressed Breath-Hold MRI Technique. Physiological Research. 53(2). 229–234. 23 indexed citations
17.
Peregrín, J, et al.. (2004). Late Stenosis of Aorto-Aortic Bypass Graft Treated by Self-Expandable Stent Implantation: A Case Report. CardioVascular and Interventional Radiology. 27(4). 386–388. 1 indexed citations
18.
Novotný, Josef, et al.. (2002). Medical Application of 3-D Polymer Gel Dosemeter Evaluated by Nuclear Magnetic Resonance. Radiation Protection Dosimetry. 101(1). 399–402. 4 indexed citations
19.
Heun, Reinhard, Jaroslav Tintěra, Joachim Gawehn, et al.. (1997). Amygdala-Hippocampal Atrophy and Memory Performance in Dementia of Alzheimer Type. Dementia and Geriatric Cognitive Disorders. 8(6). 329–336. 54 indexed citations
20.
Nägele, Thomas, Uwe Klose, Wolfgang Grodd, Dirk Petersen, & Jaroslav Tintěra. (1994). The effects of linearly increasing flip angles on 3D inflow MR angiography. Magnetic Resonance in Medicine. 31(5). 561–566. 19 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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