Markus Wenzel

1.5k citations
22 papers · 692 · h-index 11

Impact in

    • Artificial Intelligence in Healthcare and Education
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies

Papers in

Markus Wenzel

20 papers receiving 680 citations

Peers

Markus Wenzel
Comparison fields: 5 of 102
  • Health Informatics 113
  • Cognitive Neuroscience 221
  • Health Information Management 32
  • Human-Computer Interaction 43
  • Medical Laboratory Technology 9
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Citations per field
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Citations per year

Countries citing papers authored by Markus Wenzel

Since Specialization
Citations

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

Fields of papers citing papers by Markus Wenzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Wenzel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Wenzel Line = papers co-authored together Markus Wenzel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016168
2 2020135
3 2021118
4 202356
5 201943
6 201626
7 201924
8 202021
9 201718
10 202014
11 201712
12 201510
13 202410
14 20208
15 20197
16 20166
17 20156
18 20195
19 20153
20 20152

About Markus Wenzel

Markus Wenzel is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Computer Vision and Pattern Recognition, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 692 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Gaze Tracking and Assistive Technology (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Neural and Behavioral Psychology Studies (3 papers), Neural dynamics and brain function (2 papers), COVID-19 diagnosis using AI (2 papers), AI in cancer detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (113 citations), Cognitive Neuroscience (221 citations), Health Information Management (32 citations), Human-Computer Interaction (43 citations) and Medical Laboratory Technology (9 citations). Markus Wenzel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Nils Strodthoff, Benjamin Blankertz, Wojciech Samek, Patrick Wagner, Eva Weicken, Klaus‐Robert Müller, Gabriel Curio, Matthias Schultze-Kraft, Stefan Haufe and Sven Dähne. Their work appears in journals such as Journal of Neural Engineering, Bioinformatics, Frontiers in Neuroscience, PLoS ONE and The Lancet.

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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