Artur Luczak

3.3k total citations
51 papers, 2.0k citations indexed

About

Artur Luczak is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Artur Luczak has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 21 papers in Cellular and Molecular Neuroscience and 12 papers in Artificial Intelligence. Recurrent topics in Artur Luczak's work include Neural dynamics and brain function (36 papers), Neuroscience and Neuropharmacology Research (12 papers) and Memory and Neural Mechanisms (9 papers). Artur Luczak is often cited by papers focused on Neural dynamics and brain function (36 papers), Neuroscience and Neuropharmacology Research (12 papers) and Memory and Neural Mechanisms (9 papers). Artur Luczak collaborates with scholars based in Canada, United States and Hungary. Artur Luczak's co-authors include Kenneth D. Harris, Péter Barthó, Stephan Lawrence Marguet, Bruce L. McNaughton, György Buzsáki, Andrea Gómez Palacio Schjetnan, Edgar Bermudez-Contreras, Gerlinde A. S. Metz, Jason N. MacLean and Aaron J. Gruber and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Artur Luczak

49 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Artur Luczak Canada 21 1.7k 1.1k 252 171 152 51 2.0k
Hamutal Slovin Israel 18 1.9k 1.2× 1.7k 1.6× 172 0.7× 140 0.8× 208 1.4× 37 2.8k
Kechen Zhang United States 19 1.8k 1.1× 1.0k 1.0× 159 0.6× 207 1.2× 110 0.7× 45 2.3k
Arvind Kumar Germany 22 1.4k 0.8× 1.1k 1.0× 342 1.4× 105 0.6× 298 2.0× 72 1.8k
Simon R. Schultz United Kingdom 25 1.6k 1.0× 1.2k 1.1× 318 1.3× 208 1.2× 229 1.5× 86 2.1k
Marlene R. Cohen United States 22 3.2k 2.0× 1.4k 1.3× 212 0.8× 185 1.1× 190 1.3× 43 3.4k
Frances S. Chance United States 12 2.0k 1.2× 1.5k 1.4× 306 1.2× 82 0.5× 326 2.1× 28 2.3k
Almut Schüz Germany 18 1.8k 1.1× 1.1k 1.0× 333 1.3× 168 1.0× 154 1.0× 42 2.6k
Nicholas A. Lesica United Kingdom 20 1.6k 1.0× 864 0.8× 227 0.9× 114 0.7× 132 0.9× 42 1.8k
Frédéric Chavane France 20 1.9k 1.1× 1.0k 1.0× 178 0.7× 63 0.4× 146 1.0× 59 2.2k
Shaul Druckmann United States 23 1.8k 1.1× 1.5k 1.4× 354 1.4× 177 1.0× 78 0.5× 43 2.7k

Countries citing papers authored by Artur Luczak

Since Specialization
Citations

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

Fields of papers citing papers by Artur Luczak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artur Luczak

This figure shows the co-authorship network connecting the top 25 collaborators of Artur Luczak. A scholar is included among the top collaborators of Artur Luczak 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 Artur Luczak. Artur Luczak 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.
Luczak, Artur. (2025). Neurons as autonomous agents: A biologically inspired framework for cognitive architectures in artificial intelligence. Cognitive Systems Research. 90. 101338–101338. 1 indexed citations
2.
Luczak, Artur. (2024). Entropy of Neuronal Spike Patterns. Entropy. 26(11). 967–967. 2 indexed citations
3.
Lapointe, Valérie, et al.. (2024). Associating sensory cues with incoming seizures: developing an animal model of auras. Scientific Reports. 14(1). 20881–20881. 1 indexed citations
4.
Luczak, Artur, et al.. (2024). A bio-inspired reinforcement learning model that accounts for fast adaptation after punishment. Neurobiology of Learning and Memory. 215. 107974–107974.
5.
Luczak, Artur, et al.. (2024). Psilocybin reduces functional correlation and the encoding of spatial information by neurons in mouse retrosplenial cortex. European Journal of Neuroscience. 60(10). 6395–6407. 2 indexed citations
6.
Barbosa, Daniel A. N., Allan Wang, Yuhao Huang, et al.. (2023). An orexigenic subnetwork within the human hippocampus. Nature. 621(7978). 381–388. 13 indexed citations
7.
Bermudez-Contreras, Edgar, Andrea Gómez Palacio Schjetnan, Artur Luczak, & Majid H. Mohajerani. (2022). Sensory experience selectively reorganizes the late component of evoked responses. Cerebral Cortex. 33(6). 2626–2640. 6 indexed citations
8.
Luczak, Artur, et al.. (2022). Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework. Frontiers in Computational Neuroscience. 16. 980613–980613. 4 indexed citations
9.
Luczak, Artur, et al.. (2022). Epileptic seizures and link to memory processes. AIMS neuroscience. 9(1). 114–127. 8 indexed citations
10.
Luczak, Artur, et al.. (2022). Neurons learn by predicting future activity. Nature Machine Intelligence. 4(1). 62–72. 33 indexed citations
11.
Harker, Allonna, et al.. (2021). A Neural Network Reveals Motoric Effects of Maternal Preconception Exposure to Nicotine on Rat Pup Behavior: A New Approach for Movement Disorders Diagnosis. Frontiers in Neuroscience. 15. 686767–686767. 11 indexed citations
12.
Faraji, Jamshid, Andrea Gómez Palacio Schjetnan, Artur Luczak, & Gerlinde A. S. Metz. (2013). Beyond the silence: Bilateral somatosensory stimulation enhances skilled movement quality and neural density in intact behaving rats. Behavioural Brain Research. 253. 78–89. 19 indexed citations
13.
Bermudez-Contreras, Edgar, Andrea Gómez Palacio Schjetnan, Arif Muhammad, et al.. (2013). Formation and Reverberation of Sequential Neural Activity Patterns Evoked by Sensory Stimulation Are Enhanced during Cortical Desynchronization. Neuron. 79(3). 555–566. 67 indexed citations
14.
Dowdall, Jarrod Robert, et al.. (2012). Neural correlates of auditory distraction revealed in theta-band EEG. Neuroreport. 23(4). 240–245. 24 indexed citations
15.
Schjetnan, Andrea Gómez Palacio & Artur Luczak. (2011). Recording Large-scale Neuronal Ensembles with Silicon Probes in the Anesthetized Rat. Journal of Visualized Experiments. 8 indexed citations
16.
Schjetnan, Andrea Gómez Palacio & Artur Luczak. (2011). Recording Large-scale Neuronal Ensembles with Silicon Probes in the Anesthetized Rat. Journal of Visualized Experiments. 20 indexed citations
17.
Luczak, Artur. (2010). Measuring neuronal branching patterns using model-based approach. Frontiers in Computational Neuroscience. 1. 15 indexed citations
18.
Barthó, Péter, Carina Curto, Artur Luczak, Stephan Lawrence Marguet, & Kenneth D. Harris. (2009). Population coding of tone stimuli in auditory cortex: dynamic rate vector analysis. European Journal of Neuroscience. 30(9). 1767–1778. 30 indexed citations
19.
Luczak, Artur, Péter Barthó, Stephan Lawrence Marguet, György Buzsáki, & Kenneth D. Harris. (2006). Sequential structure of neocortical spontaneous activity in vivo. Proceedings of the National Academy of Sciences. 104(1). 347–352. 377 indexed citations
20.
Luczak, Artur. (2006). Spatial embedding of neuronal trees modeled by diffusive growth. Journal of Neuroscience Methods. 157(1). 132–141. 36 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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