Markus Wenzel
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 4
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 6
- Neural and Behavioral Psychology Studies 5
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology 5
- Medical Laboratory Technology top 10%
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- Machine Learning in Bioinformatics 2
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- Health Systems, Economic Evaluations, Quality of Life 2
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- COVID-19 diagnosis using AI 2
- Radiomics and Machine Learning in Medical Imaging 1
Markus Wenzel
17 papers receiving 597 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 107
- Cognitive Neuroscience 210
- Human-Computer Interaction 46
- Health Information Management 35
- Medical Laboratory Technology 10
Countries citing papers authored by Markus Wenzel
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 9 | |
| 2 | 2023 | 47 | |
| 3 | 2021 | 99 | |
| 4 | 2020 | 123 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 6 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 41 | |
| 10 | 2019 | 7 | |
| 11 | 2019 | 17 | |
| 12 | 2017 | 12 | |
| 13 | 2017 | 18 | |
| 14 | 2016 | 4 | |
| 15 | 2016 | 154 | |
| 16 | 2016 | 25 | |
| 17 | 2015 | 10 |
About Markus Wenzel
Markus Wenzel is a scholar working on Health Informatics, Human-Computer Interaction, Medical Laboratory Technology, Cognitive Neuroscience and Modeling and Simulation, having authored 17 papers that have together received 610 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Gaze Tracking and Assistive Technology (5 papers), Neural and Behavioral Psychology Studies (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Machine Learning in Bioinformatics (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), COVID-19 diagnosis using AI (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (107 citations), Cognitive Neuroscience (210 citations), Human-Computer Interaction (46 citations), Health Information Management (35 citations) and Medical Laboratory Technology (10 citations). Markus Wenzel has collaborated with scholars based in Germany, South Korea and Australia. Frequent co-authors include Nils Strodthoff, Wojciech Samek, Benjamin Blankertz, Patrick Wagner, Klaus‐Robert Müller, Eva Weicken, Gabriel Curio, Irene Sturm, Matthias Schultze-Kraft and Stefan Haufe. Their work appears in journals such as Journal of Neural Engineering, Frontiers in Neuroscience, Bioinformatics, Journal of the Association for Information Science and Technology and IEEE Communications Standards Magazine.
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.