Marcin Leszczyński
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Experimental and Cognitive Psychology top 10%
- Immunology
- Neurology
- Co-authors
- Juergen FellNikolai AxmacherCharles E. SchroederLeila ChaiebTobias StaudiglDominika Książek-WiniarekAndrzej GłąbińskiPiotr Szpakowski
- Topics
- Neural dynamics and brain function (15 papers)Visual perception and processing mechanisms (7 papers)Memory and Neural Mechanisms (7 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyCellular and Molecular Neuroscience
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Marcin Leszczyński
22 papers receiving 649 citations
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 524
- Cellular and Molecular Neuroscience 106
- Experimental and Cognitive Psychology 89
- Immunology 44
- Neurology 39
Countries citing papers authored by Marcin Leszczyński
This map shows the geographic impact of Marcin Leszczyński'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 Marcin Leszczyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Leszczyński more than expected).
Fields of papers citing papers by Marcin Leszczyński
This network shows the impact of papers produced by Marcin Leszczyński. 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 Marcin Leszczyński. The network helps show where Marcin Leszczyński may publish in the future.
Co-authorship network of co-authors of Marcin Leszczyński
This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Leszczyński. A scholar is included among the top collaborators of Marcin Leszczyński 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 Marcin Leszczyński. Marcin Leszczyński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 97 | |
| 10 | 28 | |
| 11 | 13 | |
| 12 | 31 | |
| 13 | 40 | |
| 14 | 66 | |
| 15 | 48 | |
| 16 | 10 | |
| 17 | 72 | |
| 18 | 49 | |
| 19 | 40 | |
| 20 | 31 |
About Marcin Leszczyński
Marcin Leszczyński is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 24 papers that have together received 654 indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Visual perception and processing mechanisms (7 papers) and Memory and Neural Mechanisms (7 papers). The work is most often cited by research in Cognitive Neuroscience (524 citations), Experimental and Cognitive Psychology (89 citations) and Cellular and Molecular Neuroscience (106 citations). Marcin Leszczyński has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Juergen Fell, Nikolai Axmacher, Charles E. Schroeder, Leila Chaieb, Tobias Staudigl, Dominika Książek-Winiarek, Andrzej Głąbiński, Piotr Szpakowski, Thomas P. Reber and Anna Schubö. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Current Biology.
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.