Petr Nejedlý

1.1k total citations
37 papers, 613 citations indexed

About

Petr Nejedlý is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Psychiatry and Mental health. According to data from OpenAlex, Petr Nejedlý has authored 37 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 15 papers in Cardiology and Cardiovascular Medicine and 8 papers in Psychiatry and Mental health. Recurrent topics in Petr Nejedlý's work include EEG and Brain-Computer Interfaces (26 papers), ECG Monitoring and Analysis (13 papers) and Epilepsy research and treatment (8 papers). Petr Nejedlý is often cited by papers focused on EEG and Brain-Computer Interfaces (26 papers), ECG Monitoring and Analysis (13 papers) and Epilepsy research and treatment (8 papers). Petr Nejedlý collaborates with scholars based in Czechia, United States and United Kingdom. Petr Nejedlý's co-authors include Pavel Jurák, Filip Plešinger, Ivo Viščor, Gregory A. Worrell, Josef Halámek, Benjamin H. Brinkmann, Václav Křemen, Petr Klimeš, Vladimir Sladky and Jan Cimbálník and has published in prestigious journals such as NeuroImage, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Petr Nejedlý

34 papers receiving 604 citations

Peers

Petr Nejedlý

CCM

PMH

CMN

NEURO

Mona Nasseri United States

Petr Klimeš Czechia

Anouk Van de Vel Belgium

Tilmann Kluge Austria

Evy Cleeren Belgium

Lieven Lagae Belgium

Matthias Ihle Germany

Hinnerk Feldwisch‐Drentrup Germany

Kris Cuppens Belgium

Filip Plešinger Czechia

Mona Nasseri United States

Petr Nejedlý

409 ×1.0

84 ×0.4

CCM

298 ×2.0

PMH

81 ×0.7

CMN

80 ×1.2

NEURO

Citations per year, relative to Petr Nejedlý Petr Nejedlý (= 1×) peers Mona Nasseri

Countries citing papers authored by Petr Nejedlý

Since Specialization

Citations

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

Fields of papers citing papers by Petr Nejedlý

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Nejedlý

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

All Works

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20 of 20 papers shown

Plešinger, Filip, Radovan Smíšek, Petr Nejedlý, et al.. (2025). Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion. Scientific Reports. 15(1). 1257–1257. 1 indexed citations

Nejedlý, Petr, Václav Křemen, Filip Mívalt, et al.. (2023). Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classification. Scientific Reports. 13(1). 744–744. 13 indexed citations

Smíšek, Radovan, et al.. (2023). Using Embedding Extractor and Transformer Encoder for Predicting Neurological Recovery from Coma after Cardiac Arrest. Computing in cardiology.

Smíšek, Radovan, et al.. (2022). "Scalable, Multiplatform, and Autonomous ECG Processor Supported by AI for Telemedicine Center". Computing in cardiology. 1 indexed citations

Viščor, Ivo, Petr Nejedlý, Radovan Smíšek, et al.. (2022). QRS detection and classification in Holter ECG data in one inference step. Scientific Reports. 12(1). 12641–12641. 15 indexed citations

Marks, Victoria S., et al.. (2022). Hotspot of human verbal memory encoding in the left anterior prefrontal cortex. EBioMedicine. 82. 104135–104135. 3 indexed citations

Mívalt, Filip, Václav Křemen, Vladimir Sladky, et al.. (2022). Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans. Journal of Neural Engineering. 19(1). 16019–16019. 18 indexed citations

Gregg, Nicholas M., Vladimir Sladky, Petr Nejedlý, et al.. (2021). Thalamic deep brain stimulation modulates cycles of seizure risk in epilepsy. Scientific Reports. 11(1). 24250–24250. 32 indexed citations

Attia, Tal Pal, Daniel Crepeau, Václav Křemen, et al.. (2021). Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation. Frontiers in Neurology. 12. 704170–704170. 21 indexed citations

10.

Marks, Victoria S., et al.. (2021). Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. NeuroImage. 245. 118637–118637. 8 indexed citations

11.

Nejedlý, Petr, Václav Křemen, Vladimir Sladky, et al.. (2020). Multicenter intracranial EEG dataset for classification of graphoelements and artifactual signals. Scientific Data. 7(1). 179–179. 20 indexed citations

12.

Nejedlý, Petr, Filip Plešinger, Ivo Viščor, Josef Halámek, & Pavel Jurák. (2019). Prediction of Sepsis Using LSTM Neural Network With Hyperparameter Optimization With a Genetic Algorithm. Computing in Cardiology. 1–4. 1 indexed citations

13.

Nejedlý, Petr, Václav Křemen, Vladimir Sladky, et al.. (2019). Exploiting Graphoelements and Convolutional Neural Networks with Long Short Term Memory for Classification of the Human Electroencephalogram. Scientific Reports. 9(1). 11383–11383. 19 indexed citations

14.

Cimbálník, Jan, Petr Klimeš, Vladimir Sladky, et al.. (2019). Multi-feature localization of epileptic foci from interictal, intracranial EEG. Clinical Neurophysiology. 130(10). 1945–1953. 58 indexed citations

15.

Nasseri, Mona, Václav Křemen, Petr Nejedlý, et al.. (2019). Semi-supervised training data selection improves seizure forecasting in canines with epilepsy. Biomedical Signal Processing and Control. 57. 101743–101743. 19 indexed citations

16.

Plešinger, Filip, et al.. (2018). Automated Sleep Arousal Detection Based on EEG Envelograms. Computing in cardiology. 45. 7 indexed citations

17.

Plešinger, Filip, Petr Nejedlý, Ivo Viščor, Josef Halámek, & Pavel Jurák. (2018). Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECG. Physiological Measurement. 39(9). 94002–94002. 37 indexed citations

18.

Nejedlý, Petr, Jan Cimbálník, Petr Klimeš, et al.. (2018). Intracerebral EEG Artifact Identification Using Convolutional Neural Networks. Neuroinformatics. 17(2). 225–234. 68 indexed citations

19.

Plešinger, Filip, Petr Nejedlý, Ivo Viščor, Josef Halámek, & Pavel Jurák. (2017). Automatic detection of atrial fibrillation and other arrhythmias in holter ECG recordings using rhythm features and neural networks. Computing in Cardiology. 15 indexed citations

20.

Nejedlý, Petr. (2008). Je čeština jako menší jazyk v ohrožení? (Pohled očima historika jazyka). 69(5). 225–235.

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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