Jan Novák

710 total citations
33 papers, 438 citations indexed

About

Jan Novák is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Catalysis. According to data from OpenAlex, Jan Novák has authored 33 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Genetics and 6 papers in Catalysis. Recurrent topics in Jan Novák's work include MRI in cancer diagnosis (10 papers), Glioma Diagnosis and Treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Jan Novák is often cited by papers focused on MRI in cancer diagnosis (10 papers), Glioma Diagnosis and Treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Jan Novák collaborates with scholars based in United Kingdom, Australia and Slovakia. Jan Novák's co-authors include Andrew C. Peet, Theodoros N. Arvanitis, Ahmed E. Fetit, Hamid Dehghani, Frank Marken, Munetaka Oyama, Niloufar Zarinabad, Melanie M. Britton, Lesley MacPherson and Dorothee P. Auer and has published in prestigious journals such as PLoS ONE, Scientific Reports and Physical Chemistry Chemical Physics.

In The Last Decade

Jan Novák

29 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Novák United Kingdom 12 256 86 51 51 39 33 438
James S. Cordova United States 12 189 0.7× 153 1.8× 50 1.0× 33 0.6× 16 0.4× 19 398
Pierre‐André Vuissoz France 15 384 1.5× 24 0.3× 30 0.6× 52 1.0× 36 0.9× 60 653
Tiffany C. Kwong United States 11 366 1.4× 11 0.1× 33 0.6× 45 0.9× 16 0.4× 24 515
Junyu Chen China 11 161 0.6× 29 0.3× 104 2.0× 144 2.8× 2 0.1× 35 488
Sung Min Kang South Korea 15 115 0.4× 21 0.2× 115 2.3× 94 1.8× 4 0.1× 48 671
Yuyao Sun China 12 32 0.1× 12 0.1× 120 2.4× 51 1.0× 9 0.2× 32 514
Yutaka Kato Japan 14 110 0.4× 9 0.1× 49 1.0× 33 0.6× 3 0.1× 53 506
Hui‐Cheng Cheng China 15 178 0.7× 28 0.3× 77 1.5× 13 0.3× 3 0.1× 33 798
Yi Xue China 13 204 0.8× 8 0.1× 25 0.5× 30 0.6× 7 0.2× 30 443
Hongbo Guo China 20 346 1.4× 16 0.2× 235 4.6× 205 4.0× 62 1.6× 94 1.2k

Countries citing papers authored by Jan Novák

Since Specialization
Citations

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

Fields of papers citing papers by Jan Novák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Novák

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Novák. A scholar is included among the top collaborators of Jan Novák 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 Jan Novák. Jan Novák 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.
Griffiths-King, Daniel, et al.. (2025). What is radiomics?. Archives of Disease in Childhood Education & Practice. edpract–2024.
2.
3.
Griffiths-King, Daniel, Amanda Wood, & Jan Novák. (2023). Predicting ‘Brainage’ in late childhood to adolescence (6-17yrs) using structural MRI, morphometric similarity, and machine learning. Scientific Reports. 13(1). 15591–15591. 2 indexed citations
4.
MacPherson, Lesley, Adam Oates, Jan Novák, et al.. (2022). Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study. Pediatric Radiology. 52(6). 1134–1149. 6 indexed citations
5.
Grist, James T., Lesley MacPherson, Adam Oates, et al.. (2021). Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors. Scientific Reports. 11(1). 18897–18897. 17 indexed citations
6.
Griffiths-King, Daniel, Jan Novák, Adam Shephard, et al.. (2020). Lesion Induced Error on Automated Measures of Brain Volume: Data From a Pediatric Traumatic Brain Injury Cohort. Frontiers in Neuroscience. 14. 491478–491478. 11 indexed citations
7.
Novák, Jan, et al.. (2019). Auto-Regressive Discrete Acquisition Points Transformation for Diffusion Weighted MRI Data. IEEE Transactions on Biomedical Engineering. 66(9). 2617–2628. 3 indexed citations
8.
9.
Zarinabad, Niloufar, Jan Novák, Hamid Dehghani, et al.. (2017). Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors. Journal of Magnetic Resonance Imaging. 47(6). 1475–1486. 26 indexed citations
10.
Novák, Jan, et al.. (2017). Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging. Magnetic Resonance Materials in Physics Biology and Medicine. 31(2). 269–283. 20 indexed citations
11.
Novák, Jan, et al.. (2016). Evaluation of intravoxel incoherent motion fitting methods in low‐perfused tissue. Journal of Magnetic Resonance Imaging. 45(5). 1325–1334. 59 indexed citations
12.
Novák, Jan, et al.. (2015). Arterial input function and gray matter cerebral blood volume measurements in children. Journal of Magnetic Resonance Imaging. 43(4). 981–989. 1 indexed citations
13.
Fetit, Ahmed E., Jan Novák, Daniel Rodriguez Gutierrez, et al.. (2015). 3D Texture Analysis of Heterogeneous MRI Data for Diagnostic Classification of Childhood Brain Tumours.. PubMed. 213. 19–22. 7 indexed citations
14.
Novák, Jan, Martin Wilson, Lesley MacPherson, et al.. (2013). Clinical protocols for 31P MRS of the brain and their use in evaluating optic pathway gliomas in children. European Journal of Radiology. 83(2). e106–e112. 26 indexed citations
15.
Novák, Jan & Melanie M. Britton. (2013). Magnetic resonance imaging of the rheology of ionic liquid colloidal suspensions. Soft Matter. 9(9). 2730–2730. 16 indexed citations
16.
Dawson, Julie, et al.. (2012). THU0081 Assessing the cardiovascular risk burden in patients with rheumatoid arthritis: Role of annual review clinic. Annals of the Rheumatic Diseases. 71. 180–180. 1 indexed citations
17.
Novák, Jan, Bruce Thompson, Mark C. T. Wilson, Annette F. Taylor, & Melanie M. Britton. (2011). Low frequency temperature forcing of chemical oscillations. Physical Chemistry Chemical Physics. 13(26). 12321–12321. 9 indexed citations
18.
Thompson, Bruce, Jan Novák, Mark C. T. Wilson, Melanie M. Britton, & Annette F. Taylor. (2010). Inward propagating chemical waves in Taylor vortices. Physical Review E. 81(4). 47101–47101. 7 indexed citations
19.
Novák, Jan, et al.. (2007). Layer-by-layer deposition of open-pore mesoporous TiO2-Nafion® film electrodes. Journal of Solid State Electrochemistry. 11(8). 13 indexed citations
20.
Novák, Jan, et al.. (1995). Oxidation of Butane to Maleic Anhydride on Unmodified and Modified Vanadium-Phosphorus Catalysts. Collection of Czechoslovak Chemical Communications. 60(3). 457–463. 5 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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