Aleksander Sobieszek

452 total citations
27 papers, 346 citations indexed

About

Aleksander Sobieszek is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Aleksander Sobieszek has authored 27 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 5 papers in Psychiatry and Mental health. Recurrent topics in Aleksander Sobieszek's work include Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (10 papers) and Neural dynamics and brain function (6 papers). Aleksander Sobieszek is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (10 papers) and Neural dynamics and brain function (6 papers). Aleksander Sobieszek collaborates with scholars based in Poland, Italy and United Kingdom. Aleksander Sobieszek's co-authors include J Majkowski, M.H.T. Roberts, Donald W. Straughan, Elżbieta Olejarczyk, Mario Signorino, U. Salvolini, Gabriella Cacchiò, Rosaria Gesuita, Gabriele Polonara and Leszek Królicki and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and Epilepsia.

In The Last Decade

Aleksander Sobieszek

25 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksander Sobieszek Poland 9 142 125 122 76 61 27 346
Kalarickal J. Oommen United States 11 113 0.8× 228 1.8× 150 1.2× 62 0.8× 99 1.6× 19 431
J Majkowski Poland 13 208 1.5× 254 2.0× 178 1.5× 106 1.4× 169 2.8× 65 576
Sarah E. DeRossett United States 12 164 1.2× 131 1.0× 54 0.4× 85 1.1× 71 1.2× 18 398
Richard P. Schmidt United States 13 192 1.4× 167 1.3× 166 1.4× 119 1.6× 44 0.7× 25 465
Z Servít Czechia 11 127 0.9× 123 1.0× 115 0.9× 50 0.7× 77 1.3× 40 324
Susan Martorello United States 9 176 1.2× 87 0.7× 95 0.8× 160 2.1× 13 0.2× 11 407
Ismael Gaxiola‐Valdez Canada 12 129 0.9× 222 1.8× 302 2.5× 54 0.7× 82 1.3× 20 568
Jing‐Jane Tsai Taiwan 13 224 1.6× 157 1.3× 56 0.5× 24 0.3× 107 1.8× 19 441
Denny Milakara Germany 8 106 0.7× 84 0.7× 147 1.2× 92 1.2× 15 0.2× 9 334
Eun‐Jeung Kang Germany 7 123 0.9× 65 0.5× 80 0.7× 134 1.8× 25 0.4× 8 316

Countries citing papers authored by Aleksander Sobieszek

Since Specialization
Citations

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

Fields of papers citing papers by Aleksander Sobieszek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksander Sobieszek

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksander Sobieszek. A scholar is included among the top collaborators of Aleksander Sobieszek 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 Aleksander Sobieszek. Aleksander Sobieszek 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.
Olejarczyk, Elżbieta, Aleksander Sobieszek, & Giovanni Assenza. (2024). Automatic Detection of the EEG Spike–Wave Patterns in Epilepsy: Evaluation of the Effects of Transcranial Current Stimulation Therapy. International Journal of Molecular Sciences. 25(16). 9122–9122. 1 indexed citations
2.
Fiszer, Urszula, et al.. (2017). Differentiating Stroke and Seizure in Acute Setting—Perfusion Computed Tomography?. Journal of Stroke and Cerebrovascular Diseases. 26(6). 1321–1327. 12 indexed citations
3.
Olejarczyk, Elżbieta, et al.. (2017). The EEG Split Alpha Peak: Phenomenological Origins and Methodological Aspects of Detection and Evaluation. Frontiers in Neuroscience. 11. 506–506. 21 indexed citations
4.
Majkowski, J, et al.. (2015). 13. Spectral Analysis of the Interictal EEG Activity with Berg-Fourier Analyzer in Kindled Cats. Monographs in clinical neuroscience/Frontiers of neurology and neuroscience/Monographs in neural sciences. 5. 82–88.
5.
Sobieszek, Aleksander. (2015). [ln search of the sharp wave of epileptic nature].. PubMed. 72(11). 690–3. 2 indexed citations
6.
Olejarczyk, Elżbieta, et al.. (2012). Automatic detection and analysis of the EEG sharp wave–slow wave patterns evoked by fluorinated inhalation anesthetics. Clinical Neurophysiology. 123(8). 1512–1522. 13 indexed citations
7.
Olejarczyk, Elżbieta, et al.. (2010). Spectral analysis of the EEG-signal registered during anaesthesia induced by propofol and maintained by fluorinated inhalation anaesthetics. 30(1). 55–70. 5 indexed citations
8.
Krygowska‐Wajs, Anna, et al.. (2002). [Analysis of causes for falls in people with Parkinson's disease].. PubMed. 36(1). 57–68. 4 indexed citations
9.
Angeleri, F, J Majkowski, Gabriella Cacchiò, et al.. (1999). Posttraumatic Epilepsy Risk Factors: One‐Year Prospective Study After Head Injury. Epilepsia. 40(9). 1222–1230. 112 indexed citations
10.
11.
Majkowski, J, et al.. (1989). EEG afterdischarge patterns and performance of the avoidance response in hippocampally kindled cats.. PubMed. 49(1). 13–22. 4 indexed citations
12.
Sobieszek, Aleksander & J Majkowski. (1988). Influence of hippocampal kindling on avoidance learning in cats.. PubMed. 48(6). 311–22. 6 indexed citations
13.
Majkowski, J & Aleksander Sobieszek. (1988). Effects of hippocampal kindled afterdischarges and complex partial seizures on previously established avoidance response in cats.. PubMed. 48(6). 295–309. 5 indexed citations
14.
Majkowski, J, et al.. (1981). Development of EEG Epileptic Activity and Seizures During Kindling in Sensorimotor Cortex in Cats. Epilepsia. 22(3). 275–284. 13 indexed citations
15.
Majkowski, J, et al.. (1976). EEG and Clinical Studies of the Development of Alumina Cream Epileptic Focus in Split‐Brain Cats. Epilepsia. 17(3). 257–269. 5 indexed citations
16.
Majkowski, J & Aleksander Sobieszek. (1975). Evolution of average evoked potentials in cats during conditioning before and after tegmental lesions. Physiology & Behavior. 14(2). 123–131. 7 indexed citations
17.
Majkowski, J, et al.. (1973). Effects of brain-stem lesions on instrumental conditioning in cats. Physiology & Behavior. 11(1). 1–6. 12 indexed citations
18.
Majkowski, J & Aleksander Sobieszek. (1972). Cross-modality comparisons of averaged evoked potentials, their relation to vigilance and stimulus parameters in cats. Electroencephalography and Clinical Neurophysiology. 33(1). 61–70. 8 indexed citations
19.
Majkowski, J, et al.. (1970). EEG and behavioral correlates of learning in cats with lesions in the mesencephalic reticular formation. Brain Research. 21(2). 301–304. 7 indexed citations
20.
Sobieszek, Aleksander. (1966). A study on cortical spindle activity in dog. Two types of recovery of electrocortical activity after electric silence provoked by asphyxia.. PubMed. 14(6). 447–50. 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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