Jarosław Drapała

579 total citations
18 papers, 365 citations indexed

About

Jarosław Drapała is a scholar working on Cognitive Neuroscience, Social Psychology and Biomedical Engineering. According to data from OpenAlex, Jarosław Drapała has authored 18 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Social Psychology and 4 papers in Biomedical Engineering. Recurrent topics in Jarosław Drapała's work include Muscle activation and electromyography studies (3 papers), Schizophrenia research and treatment (3 papers) and Bacteriophages and microbial interactions (2 papers). Jarosław Drapała is often cited by papers focused on Muscle activation and electromyography studies (3 papers), Schizophrenia research and treatment (3 papers) and Bacteriophages and microbial interactions (2 papers). Jarosław Drapała collaborates with scholars based in Poland, South Africa and Australia. Jarosław Drapała's co-authors include Paulina Miernikiewicz, Dorota Lecion, Zuzanna Kaźmierczak, Krystyna Dąbrowska, Joanna Majewska, Marek Harhala, Andrzej Górski, Ewa Jończyk‐Matysiak, Katarzyna Hodyra‐Stefaniak and Marek Dráb and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Social Psychiatry and Psychiatric Epidemiology.

In The Last Decade

Jarosław Drapała

17 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jarosław Drapała Poland 7 256 98 88 83 64 18 365
Jerri C. Caldeira United States 11 134 0.5× 118 1.2× 52 0.6× 21 0.3× 24 0.4× 16 355
Nathan Day United Kingdom 7 215 0.8× 300 3.1× 11 0.1× 64 0.8× 53 0.8× 10 475
Zhao Yun China 11 46 0.2× 93 0.9× 10 0.1× 25 0.3× 73 1.1× 44 424
Bartłomiej Kwiatkowski Poland 9 136 0.5× 167 1.7× 36 0.4× 40 0.5× 7 0.1× 37 320
Hallie P. Febvre United States 7 191 0.7× 176 1.8× 23 0.3× 52 0.6× 6 0.1× 13 486
Christian H. Gauthier United States 12 146 0.6× 80 0.8× 31 0.4× 60 0.7× 16 0.3× 20 338
Joshua L. Fuqua United States 13 23 0.1× 117 1.2× 40 0.5× 33 0.4× 45 0.7× 25 419
Kenneth P. Allen United States 10 54 0.2× 113 1.2× 25 0.3× 15 0.2× 16 0.3× 21 456
Betty Chau United States 8 46 0.2× 235 2.4× 155 1.8× 7 0.1× 25 0.4× 9 498

Countries citing papers authored by Jarosław Drapała

Since Specialization
Citations

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

Fields of papers citing papers by Jarosław Drapała

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarosław Drapała

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

All Works

18 of 18 papers shown
1.
Drapała, Jarosław & Jerzy Świątek. (2024). Generating synthetic mixed-type tabular data by decoding samples from a latent-space: a case study in healthcare. Procedia Computer Science. 246. 2254–2263. 1 indexed citations
2.
Drapała, Jarosław, et al.. (2022). Trauma Disrupts Reinforcement Learning in Rats—A Novel Animal Model of Chronic Stress Exposure. Frontiers in Behavioral Neuroscience. 16. 903100–903100. 1 indexed citations
3.
Drapała, Jarosław & Dorota Frydecka. (2022). Coarse-Grained Neural Network Model of the Basal Ganglia to Simulate Reinforcement Learning Tasks. Brain Sciences. 12(2). 262–262. 1 indexed citations
4.
Frydecka, Dorota, Patryk Piotrowski, Edyta Pawlak, et al.. (2022). Confirmation Bias in the Course of Instructed Reinforcement Learning in Schizophrenia-Spectrum Disorders. Brain Sciences. 12(1). 90–90. 2 indexed citations
5.
Drapała, Jarosław, Dorota Frydecka, & Jerzy Świątek. (2021). A Simple-Units Complex-Structure Neural Network model of the Basal Ganglia to simulate reinforcement learning tasks. Procedia Computer Science. 192. 281–290. 1 indexed citations
6.
Frydecka, Dorota, Błażej Misiak, Patryk Piotrowski, et al.. (2021). The Role of Dopaminergic Genes in Probabilistic Reinforcement Learning in Schizophrenia Spectrum Disorders. Brain Sciences. 12(1). 7–7. 4 indexed citations
7.
Majewska, Joanna, Zuzanna Kaźmierczak, Dorota Lecion, et al.. (2019). Induction of Phage-Specific Antibodies by Two Therapeutic Staphylococcal Bacteriophages Administered per os. Frontiers in Immunology. 10. 2607–2607. 57 indexed citations
8.
Frydecka, Dorota, Jarosław Drapała, & Błażej Misiak. (2016). Instructional influence on learning and decision making with respect to cognitive functioning. European Psychiatry. 33(S1). S368–S368. 1 indexed citations
9.
Frydecka, Dorota, et al.. (2016). Computational modeling of reinforcement learning using probabilistic selection task and instructional probabilistic selection task. European Psychiatry. 33(S1). S138–S138. 1 indexed citations
10.
Hodyra‐Stefaniak, Katarzyna, Paulina Miernikiewicz, Jarosław Drapała, et al.. (2015). Mammalian Host-Versus-Phage immune response determines phage fate in vivo. Scientific Reports. 5(1). 14802–14802. 221 indexed citations
11.
Rutkowska‐Kucharska, Alicja, et al.. (2014). Electromechanical delay of abdominal muscles is modified by low back pain prevention exercise. PubMed. 16(3). 95–102. 9 indexed citations
12.
Drapała, Jarosław, et al.. (2013). ADAPTIVE DECISION SUPPORT SYSTEM FOR AUTOMATIC PHYSICAL EFFORT PLAN GENERATION—DATA-DRIVEN APPROACH. Cybernetics & Systems. 44(2-3). 204–221. 14 indexed citations
13.
Kiejna, Andrzej, Błażej Misiak, Jarosław Drapała, et al.. (2013). Money matters: does the reimbursement policy for second-generation antipsychotics influence the number of recorded schizophrenia patients and the burden of stigmatization?. Social Psychiatry and Psychiatric Epidemiology. 49(4). 531–539. 2 indexed citations
14.
Drapała, Jarosław, et al.. (2013). Data-Driven Models for eHealth Applications. 3(1). 1–9. 2 indexed citations
15.
Drapała, Jarosław, et al.. (2012). Two stage EMG onset detection method. Archives of Control Sciences. 22(4). 427–440. 22 indexed citations
16.
Rutkowska‐Kucharska, Alicja, et al.. (2011). Choosing the Right Body Position for Assessing Trunk Flexors and Extensors Torque Output. Human Movement. 12(1). 15 indexed citations
17.
Rutkowska‐Kucharska, Alicja, et al.. (2010). Asymmetry of electromechanical delay (EMD) and torque in the muscles stabilizing spinal column.. PubMed. 12(4). 11–8. 10 indexed citations
18.
Drapała, Jarosław & Jerzy Świątek. (2008). Backpropagation through Time for Learning of Interconnected Neural Networks -- Identification of Complex Systems. 6. 165–170. 1 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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