Michael Dacko
Impact in
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- Autism Spectrum Disorder Research
- Functional Brain Connectivity Studies
Papers in
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- Advanced MRI Techniques and Applications 7
- Advanced Neuroimaging Techniques and Applications 3
- Medical Imaging Techniques and Applications 2
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- Neuroscience and Neural Engineering 2
- Co-authors
- Thomas Lange (11 shared papers)Ludger Tebartz van Elst (5 shared papers)Simon Maier (5 shared papers)Dominique Endres (5 shared papers)Kathrin Nickel (5 shared papers)Katharina Domschke (4 shared papers)Dieter Ebert (1 shared paper)Kimon Runge (2 shared papers)
- Journals
- Magnetic Resonance in Medicine (2 papers)NMR in Biomedicine (2 papers)International Journal of Legal Medicine (2 papers)Autism Research (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- GermanySwitzerlandTaiwan
In The Last Decade
Michael Dacko
11 papers receiving 89 citations
Peers
Comparison fields: 5 of 42
- Cognitive Neuroscience 37
- Biological Psychiatry 3
- Cellular and Molecular Neuroscience 18
- Radiology, Nuclear Medicine and Imaging 22
- Psychiatry and Mental health 14
Countries citing papers authored by Michael Dacko
This map shows the geographic impact of Michael Dacko'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 Michael Dacko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Dacko more than expected).
Fields of papers citing papers by Michael Dacko
This network shows the impact of papers produced by Michael Dacko. 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 Michael Dacko. The network helps show where Michael Dacko may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Dacko, 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 | 2022 | 34 | |
| 2 | 2019 | 10 | |
| 3 | 2023 | 8 | |
| 4 | 2020 | 7 | |
| 5 | 2019 | 7 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2019 | 3 | |
| 11 | 2016 | 2 | |
| 12 | 2023 | 0 |
About Michael Dacko
Michael Dacko is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Genetics, having authored 12 papers that have together received 89 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Neuroscience and Neural Engineering (2 papers), Medical Imaging Techniques and Applications (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Autism Spectrum Disorder Research (2 papers), NMR spectroscopy and applications (2 papers) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Cognitive Neuroscience (37 citations), Biological Psychiatry (3 citations), Cellular and Molecular Neuroscience (18 citations), Radiology, Nuclear Medicine and Imaging (22 citations) and Psychiatry and Mental health (14 citations). Michael Dacko has collaborated with scholars based in Germany, Switzerland and Taiwan. Frequent co-authors include Thomas Lange, Ludger Tebartz van Elst, Simon Maier, Dominique Endres, Kathrin Nickel, Katharina Domschke, Dieter Ebert, Kimon Runge, Evgeniy Perlov and Thomas Fangmeier. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, International Journal of Legal Medicine, Autism Research and Journal of Clinical Medicine.
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.