Tomasz Maszczyk

766 citations
14 papers · 390 indexed · h-index 11
Topics
Neural Networks and Applications (3 papers)EEG and Brain-Computer Interfaces (3 papers)Neural dynamics and brain function (2 papers)
Journals
Clinical NeurophysiologyDR-NTU (Nanyang Technological University)PubMed

In The Last Decade

Tomasz Maszczyk

14 papers receiving 382 citations

Peers

Tomasz Maszczyk
Comparison fields: 5 of 75
  • Cognitive Neuroscience 223
  • Cellular and Molecular Neuroscience 71
  • Electrical and Electronic Engineering 67
  • Signal Processing 62
  • Artificial Intelligence 51
Replace Grzegorz M. Wójcik with:
Grzegorz M. Wójcik Poland
Yaozhang Pan Singapore
João Luís Garcia Rosa Brazil
Brian Lithgow Australia
Chong Liu China
Melissa Zavaglia Germany
Phattarapong Sawangjai Thailand
Joseph G. Makin United States
Ali Shahidi Zandi Canada
Pitshaporn Leelaarporn Germany
Tomasz Maszczyk relative to Grzegorz M. Wójcik Poland Grzegorz M. Wójcik's profile →
Citations per field
00.5×1.5×2.1×
Grzegorz M. Wójcik · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 46
2 23
3 4
4 14
5 11
6 67
7 10
8 78
9 41
10 57
11 13
12 6
13 15
14 5

About Tomasz Maszczyk

Tomasz Maszczyk is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 14 papers that have together received 390 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cognitive Neuroscience (223 citations), Signal Processing (62 citations) and Cellular and Molecular Neuroscience (71 citations). Tomasz Maszczyk has collaborated with scholars based in Singapore, Poland and Netherlands. Frequent co-authors include Justin Dauwels, Nishant Sinha, Tilmann Kluge, Alexander Rosenberg Johansen, Sydney S. Cash, John Thomas, Jin Jing, M. Brandon Westover, Jonathan H. W. Tan and Nicolas Kon Kam King. Their work appears in journals such as Clinical Neurophysiology, DR-NTU (Nanyang Technological University) and PubMed.

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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