Marcus Kaiser
- Cognitive Neuroscience top 0.2%
- Functional Brain Connectivity Studies 63
- Neural dynamics and brain function 43
- EEG and Brain-Computer Interfaces 11
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- Complex Network Analysis Techniques 9
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- Advanced Neuroimaging Techniques and Applications 28
- Advanced MRI Techniques and Applications 13
- Aging top 2%
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- Photoacoustic and Ultrasonic Imaging 8
- Ultrasound and Hyperthermia Applications 7
Marcus Kaiser
129 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Cognitive Neuroscience 4.2k
- Statistical and Nonlinear Physics 772
- Radiology, Nuclear Medicine and Imaging 1.3k
- Aging 92
- Experimental and Cognitive Psychology 493
Countries citing papers authored by Marcus Kaiser
This map shows the geographic impact of Marcus Kaiser'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 Marcus Kaiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Kaiser more than expected).
Fields of papers citing papers by Marcus Kaiser
This network shows the impact of papers produced by Marcus Kaiser. 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 Marcus Kaiser. The network helps show where Marcus Kaiser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcus Kaiser, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 7 | |
| 7 | 2019 | 18 | |
| 8 | 2017 | 59 | |
| 9 | 2016 | 28 | |
| 10 | 2016 | 25 | |
| 11 | ESTIMATION ACCURACY IN LARGE IS PROGRAMS - INSIGHTS FROM A DESCRIPTIVE CASE STUDY | 2014 | 2 |
| 12 | 2011 | 19 | |
| 13 | 2011 | 14 | |
| 14 | 2011 | 253 | |
| 15 | A Framework for Economics-Driven Assessment of Data Quality Decisions | 2009 | 3 |
| 16 | 2009 | 69 | |
| 17 | Does the EU Insurance Mediation Directive Help to Improve Data Quality? A Metric- Based Analysis | 2008 | 6 |
| 18 | How to Measure Data Quality? - A Metric-Based Approach | 2007 | 58 |
| 19 | DQ Metrics: A Novel Approach to Quantify Timeliness and its Application in CRM | 2007 | 3 |
| 20 | Industrial networks | 2004 | 2 |
About Marcus Kaiser
Marcus Kaiser is a scholar working on Cognitive Neuroscience, Aging, Radiology, Nuclear Medicine and Imaging, Statistical and Nonlinear Physics and Neurology, having authored 135 papers that have together received 5.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (63 papers), Neural dynamics and brain function (43 papers), Advanced Neuroimaging Techniques and Applications (28 papers), Advanced MRI Techniques and Applications (13 papers), EEG and Brain-Computer Interfaces (11 papers), Complex Network Analysis Techniques (9 papers), Photoacoustic and Ultrasonic Imaging (8 papers) and Ultrasound and Hyperthermia Applications (7 papers). The work is most often cited by research in Cognitive Neuroscience (4.2k citations), Statistical and Nonlinear Physics (772 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Aging (92 citations) and Experimental and Cognitive Psychology (493 citations). Marcus Kaiser has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Claus C. Hilgetag, Olaf Sporns, Dante R. Chialvo, Peter N. Taylor, Luis R. Peraza, John‐Paul Taylor, Cheol E. Han, Yujiang Wang, John T. O’Brien and Justin Dauwels. Their work appears in journals such as Scientific Reports, PLoS Computational Biology, NeuroImage, PLoS ONE and NeuroImage Clinical.
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.