Kamil Jonak

697 total citations
48 papers, 445 citations indexed

About

Kamil Jonak is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Kamil Jonak has authored 48 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Mechanics of Materials. Recurrent topics in Kamil Jonak's work include Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (8 papers) and EEG and Brain-Computer Interfaces (5 papers). Kamil Jonak is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (8 papers) and EEG and Brain-Computer Interfaces (5 papers). Kamil Jonak collaborates with scholars based in Poland, United Kingdom and Italy. Kamil Jonak's co-authors include Paweł Krukow, Hanna Karakuła‐Juchnowicz, Robert Karpiński, Cezary Grochowski, Józef Jonak, Marcin Maciejewski, Michał Harciarek, Ryszard Maciejewski, Małgorzata Plechawska–Wójcik and Eliza Blicharska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Neuroscience.

In The Last Decade

Kamil Jonak

41 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamil Jonak Poland 12 161 58 49 40 39 48 445
Maria Cristina Rizzetti Italy 12 81 0.5× 16 0.3× 41 0.8× 35 0.9× 10 0.3× 13 548
Álvaro Machado Brazil 13 46 0.3× 94 1.6× 105 2.1× 53 1.3× 2 0.1× 58 491
Jianhao Yan China 11 168 1.0× 109 1.9× 57 1.2× 4 0.1× 3 0.1× 29 356
Masahiro Suzuki Japan 13 110 0.7× 28 0.5× 81 1.7× 43 1.1× 6 0.2× 59 474
Xiaorong Chen China 12 81 0.5× 17 0.3× 55 1.1× 53 1.3× 19 404
José Fernando Colafêmina Brazil 11 99 0.6× 4 0.1× 35 0.7× 8 0.2× 15 0.4× 40 289
Sungyang Jo South Korea 11 73 0.5× 21 0.4× 77 1.6× 64 1.6× 3 0.1× 56 490
Samantha L. Winter United Kingdom 18 140 0.9× 15 0.3× 32 0.7× 11 0.3× 6 0.2× 42 754
Håvard Kalvøy Norway 15 92 0.6× 41 0.7× 4 0.1× 9 0.2× 7 0.2× 39 573
Ewa Zamysłowska-Szmytke Poland 12 249 1.5× 7 0.1× 14 0.3× 21 0.5× 11 0.3× 44 636

Countries citing papers authored by Kamil Jonak

Since Specialization
Citations

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

Fields of papers citing papers by Kamil Jonak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamil Jonak

This figure shows the co-authorship network connecting the top 25 collaborators of Kamil Jonak. A scholar is included among the top collaborators of Kamil Jonak 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 Kamil Jonak. Kamil Jonak 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.
Książek, Wojciech, Paweł Pławiak, Kamil Jonak, et al.. (2025). Diagnostics of diabetic retinopathy based on fundus photos using machine learning methods with advanced feature engineering algorithms. Scientific Reports. 15(1). 34486–34486.
2.
Karpiński, Robert, et al.. (2025). Diagnostic Approaches to Total Knee Arthroplasty Loosening: From Conventional Imaging to Modern Techniques. Applied Sciences. 16(1). 445–445.
3.
Jonak, Józef, et al.. (2025). Effect of Undercut Bolt Anchor Depth on Failure Cone Geometry: A Numerical FEM Analysis and Experimental Verification. Materials. 18(3). 686–686. 1 indexed citations
4.
Jonak, Kamil, et al.. (2024). Analysis of visual perception in children using an eye tracker – A pilot study. Advances in Science and Technology – Research Journal. 19(2). 255–270.
5.
Jonak, Józef, et al.. (2024). A Numerical Study of the Influence of Cone Angle of the Breakout Anchor Head on the Crack Trajectory of the Medium. SHILAP Revista de lepidopterología. 18(5). 101–112. 3 indexed citations
6.
Karczmarek, Paweł, et al.. (2024). Analysis of smooth and enhanced smooth quadrature-inspired generalized Choquet integral. Fuzzy Sets and Systems. 483. 108926–108926. 2 indexed citations
7.
Karpiński, Robert, et al.. (2024). Vibroarthrography as a Noninvasive Screening Method for Early Diagnosis of Knee Osteoarthritis: A Review of Current Research. Applied Sciences. 15(1). 279–279. 7 indexed citations
8.
Jonak, Kamil, et al.. (2024). The Impact of Reduced N Fertilization Rates According to the “Farm to Fork” Strategy on the Environment and Human Health. Applied Sciences. 14(22). 10726–10726. 4 indexed citations
9.
Karczmarek, Paweł, et al.. (2023). Quadrature-Inspired Generalized Choquet Integral in an Application to Classification Problems. IEEE Access. 11. 124676–124689. 2 indexed citations
10.
Zieliński, Grzegorz, et al.. (2023). High Myopia and Thickness of Extraocular and Masticatory Muscles—7T MRI, Preliminary Study. Journal of Clinical Medicine. 12(12). 4166–4166. 10 indexed citations
11.
Muth, Daniel Rudolf, Mario Damiano Toro, Kamil Jonak, et al.. (2022). Correlation between Macular Neovascularization (MNV) Type and Druse Type in Neovascular Age-Related Macular Degeneration (AMD) Based on the CONAN Classification. Biomedicines. 10(10). 2370–2370. 3 indexed citations
12.
Jonak, Kamil, Arkadiusz Syta, Hanna Karakuła‐Juchnowicz, & Paweł Krukow. (2020). The Clinical Application of EEG-Signals Recurrence Analysis as a Measure of Functional Connectivity: Comparative Case Study of Patients with Various Neuropsychiatric Disorders. Brain Sciences. 10(6). 380–380. 4 indexed citations
13.
Grochowski, Cezary, Mark R. Symms, Kamil Jonak, et al.. (2020). The Evaluation of Optic Nerves Using 7 Tesla “Silent” Zero Echo Time Imaging in Patients with Leber’s Hereditary Optic Neuropathy with or without Idebenone Treatment. Journal of Clinical Medicine. 9(4). 1112–1112. 8 indexed citations
14.
Grochowski, Cezary, et al.. (2020). Alteration within the Hippocampal Volume in Patients with LHON Disease—7 Tesla MRI Study. Journal of Clinical Medicine. 10(1). 14–14. 5 indexed citations
15.
Jonak, Kamil, et al.. (2020). Decreased Volume of Lateral and Medial Geniculate Nuclei in Patients with LHON Disease—7 Tesla MRI Study. Journal of Clinical Medicine. 9(9). 2914–2914. 11 indexed citations
16.
Jonak, Kamil, et al.. (2020). Neuroanatomical Changes in Leber’s Hereditary Optic Neuropathy: Clinical Application of 7T MRI Submillimeter Morphometry. Brain Sciences. 10(6). 359–359. 8 indexed citations
17.
Syta, Arkadiusz, Davide Bernardini, Grzegorz Litak, Marcelo A. Savi, & Kamil Jonak. (2020). A comparison of different approaches to detect the transitions from regular to chaotic motions in SMA oscillator. Meccanica. 55(6). 1295–1308. 6 indexed citations
18.
Jonak, Kamil, Paweł Krukow, Hanna Karakuła‐Juchnowicz, et al.. (2020). Aberrant Structural Network Architecture in Leber’s Hereditary Optic Neuropathy. Minimum Spanning Tree Graph Analysis Application into Diffusion 7T MRI. Neuroscience. 455. 128–140. 6 indexed citations
19.
20.
Krukow, Paweł, et al.. (2016). Processing speed is associated with differences in IQ and cognitive profiles between patients with schizophrenia and their healthy siblings. Nordic Journal of Psychiatry. 71(1). 33–41. 12 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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