Tomasz Maszczyk

40 total papers · 763 total citations
14 papers, 387 citations indexed

About

Tomasz Maszczyk is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Tomasz Maszczyk has authored 14 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Tomasz Maszczyk's work include EEG and Brain-Computer Interfaces (3 papers), Neural Networks and Applications (3 papers) and Advanced Memory and Neural Computing (2 papers). Tomasz Maszczyk is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), Neural Networks and Applications (3 papers) and Advanced Memory and Neural Computing (2 papers). Tomasz Maszczyk collaborates with scholars based in Singapore, Poland and United States. Tomasz Maszczyk's co-authors include Justin Dauwels, Nishant Sinha, Jin Jing, M. Brandon Westover, Sydney S. Cash, Alexander Rosenberg Johansen, John Thomas, Tilmann Kluge, Jonathan H. W. Tan and Nicolas Kon Kam King and has published in prestigious journals such as Clinical Neurophysiology, DR-NTU (Nanyang Technological University) and PubMed.

In The Last Decade

Tomasz Maszczyk

14 papers receiving 379 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tomasz Maszczyk 221 70 67 62 51 14 387
Phattarapong Sawangjai 289 1.3× 58 0.8× 39 0.6× 76 1.2× 31 0.6× 10 395
Brian Lithgow 156 0.7× 38 0.5× 87 1.3× 40 0.6× 25 0.5× 47 404
Grzegorz M. Wójcik 282 1.3× 65 0.9× 87 1.3× 29 0.5× 82 1.6× 52 438
Alkinoos Athanasiou 251 1.1× 89 1.3× 34 0.5× 16 0.3× 22 0.4× 35 409
Alexander B. Silva 238 1.1× 118 1.7× 51 0.8× 26 0.4× 41 0.8× 15 441
Pengfei Sun 252 1.1× 102 1.5× 75 1.1× 50 0.8× 52 1.0× 13 352
Xueli Li 263 1.2× 34 0.5× 18 0.3× 114 1.8× 31 0.6× 19 390
Attila Korik 288 1.3× 123 1.8× 37 0.6× 43 0.7× 24 0.5× 18 381
Edward Jacek Gorzelańczyk 220 1.0× 85 1.2× 37 0.6× 32 0.5× 53 1.0× 37 384
Arian Ashourvan 300 1.4× 81 1.2× 21 0.3× 19 0.3× 39 0.8× 18 419

Countries citing papers authored by Tomasz Maszczyk

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Maszczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Maszczyk

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

All Works

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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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