Daniel Novák

2.0k total citations
90 papers, 1.4k citations indexed

About

Daniel Novák is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Daniel Novák has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 17 papers in Cognitive Neuroscience and 16 papers in Biomedical Engineering. Recurrent topics in Daniel Novák's work include EEG and Brain-Computer Interfaces (13 papers), ECG Monitoring and Analysis (12 papers) and Indoor and Outdoor Localization Technologies (10 papers). Daniel Novák is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), ECG Monitoring and Analysis (12 papers) and Indoor and Outdoor Localization Technologies (10 papers). Daniel Novák collaborates with scholars based in Czechia, United States and Spain. Daniel Novák's co-authors include Minjuan Wang, Ruimin Shen, Xiaoyan Pan, Robert Jech, Tomáš Sieger, Dušan Kocur, Martin Haluzı́k, David Cuesta–Frau, Filip Španiel and Lin Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Daniel Novák

81 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Novák 241 211 182 158 128 90 1.4k
Jane Alty 161 0.7× 67 0.3× 469 2.6× 19 0.1× 105 0.8× 199 2.5k
Rodrigo de Luis‐García 121 0.5× 86 0.4× 292 1.6× 22 0.1× 82 0.6× 74 2.2k
Hafeez Ullah Amin 54 0.2× 169 0.8× 950 5.2× 165 1.0× 91 0.7× 49 1.8k
Amaia Méndez Zorrilla 128 0.5× 87 0.4× 241 1.3× 98 0.6× 682 5.3× 99 1.9k
Mark D. Wiederhold 80 0.3× 67 0.3× 933 5.1× 550 3.5× 366 2.9× 97 3.3k
David H. Crowell 129 0.5× 33 0.2× 286 1.6× 74 0.5× 89 0.7× 58 1.9k
Curtis Tatsuoka 20 0.1× 100 0.5× 209 1.1× 132 0.8× 136 1.1× 141 2.6k
George N. Papadimitriou 65 0.3× 34 0.2× 610 3.4× 140 0.9× 35 0.3× 205 3.7k
Łukasz Kidziński 53 0.2× 168 0.8× 83 0.5× 35 0.2× 444 3.5× 44 1.5k
Christopher D. Ward 259 1.1× 22 0.1× 361 2.0× 25 0.2× 121 0.9× 96 3.3k

Countries citing papers authored by Daniel Novák

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Novák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Novák

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Novák. A scholar is included among the top collaborators of Daniel 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 Daniel Novák. Daniel 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.
Filip, Pavel, Karsten Mueller, Jiří Keller, et al.. (2025). Sweet spot for resting-state functional MRI effect of deep brain stimulation in dystonia lies in the lower pallidal area. NeuroImage Clinical. 45. 103750–103750.
2.
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Cheng, Kang, et al.. (2024). InA: Inhibition Adaption on pre-trained language models. Neural Networks. 178. 106410–106410. 2 indexed citations
4.
Cheng, Kang, et al.. (2024). Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant. 351–355. 4 indexed citations
5.
Cheng, Kang, et al.. (2023). Classifying and Scoring Major Depressive Disorders by Residual Neural Networks on Specific Frequencies and Brain Regions. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2964–2973. 9 indexed citations
6.
Cheng, Kang, Xujing Yao, & Daniel Novák. (2023). Fuzzy Windows with Gaussian Processed Labels for Ordinal Image Scoring Tasks. Applied Sciences. 13(6). 4019–4019. 1 indexed citations
7.
Novák, Daniel, et al.. (2022). Design-Based Research: A Methodology for Studying Innovation in Teaching and Learning in Medical Education. Academic Medicine. 97(7). 1088–1088. 3 indexed citations
8.
Mráz, Miloš, et al.. (2022). Managing Diabetes Using Mobiab: Long-Term Case Study of the Impact of a Mobile App on Self-management. JMIR Diabetes. 7(2). e36675–e36675. 3 indexed citations
9.
Bakštein, Eduard, Marián Kolenič, Jaroslav Hlinka, et al.. (2021). Validity of the Aktibipo Self-rating Questionnaire for the Digital Self-assessment of Mood and Relapse Detection in Patients With Bipolar Disorder: Instrument Validation Study. JMIR Mental Health. 8(8). e26348–e26348. 3 indexed citations
10.
Cuesta–Frau, David, Daniel Novák, Daniel Abásolo, et al.. (2019). Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods. Complexity. 2019(1). 1 indexed citations
11.
Serranová, Tereza, Tomáš Sieger, Filip Růžička, et al.. (2019). Topography of emotional valence and arousal within the motor part of the subthalamic nucleus in Parkinson’s disease. Scientific Reports. 9(1). 19924–19924. 4 indexed citations
12.
Johnson, Heather, et al.. (2018). Exploring the Influence of Accomplished Teachers' Video and Commentary Pairing on Teacher Candidates' Noticing and Thinking about Practice.. ScholarWorks (Central Washington University). 26(2). 217–248. 5 indexed citations
13.
Bláha, J, Miloš Mráz, Petr Kopecký, et al.. (2015). Perioperative Tight Glucose Control Reduces Postoperative Adverse Events in Nondiabetic Cardiac Surgery Patients. The Journal of Clinical Endocrinology & Metabolism. 100(8). 3081–3089. 55 indexed citations
14.
Pelantová, Helena, Blanka Železná, Lenka Maletı́nská, et al.. (2015). Strategy for NMR metabolomic analysis of urine in mouse models of obesity— from sample collection to interpretation of acquired data. Journal of Pharmaceutical and Biomedical Analysis. 115. 225–235. 17 indexed citations
15.
Cuesta–Frau, David, et al.. (2014). Atrial electrogram complex fractionated entropy study. 20(9). 5566–5574. 1 indexed citations
16.
Macaš, Martin, Lenka Lhotská, Eduard Bakštein, et al.. (2012). Wrapper feature selection for small sample size data driven by complete error estimates. Computer Methods and Programs in Biomedicine. 108(1). 138–150. 13 indexed citations
17.
Xiao, Mei-Fang, et al.. (2009). Neural Cell Adhesion Molecule Modulates Dopaminergic Signaling and Behavior by Regulating Dopamine D2Receptor Internalization. Journal of Neuroscience. 29(47). 14752–14763. 64 indexed citations
18.
Novák, Daniel, et al.. (2009). Discrimination of endocardial electrogram disorganization using a signal regularity analysis. PubMed. 2009. 1812–1815. 10 indexed citations
19.
Španiel, Filip, Jan Hrdlička, Jiří Kožený, et al.. (2007). ITAREPS: Information Technology Aided Relapse Prevention Programme in Schizophrenia. Schizophrenia Research. 98(1-3). 312–317. 104 indexed citations
20.
Chudáček, Václav, Michal Huptych, Daniel Novák, & Lenka Lhotská. (2006). Automatic QT interval measurement using rule-based gradient method. Computing in Cardiology Conference. 349–351. 2 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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