Marko Marković
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Tactile and Sensory Interactions
- Motor Control and Adaptation
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- Neuroscience and Neural Engineering
Papers in
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- Muscle activation and electromyography studies 23
- Non-Invasive Vital Sign Monitoring 2
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- EEG and Brain-Computer Interfaces 12
- Motor Control and Adaptation 10
- Tactile and Sensory Interactions 9
- Co-authors
- Dario Farina (16 shared papers)Strahinja Došen (20 shared papers)Bernhard Graimann (5 shared papers)Dejan B. Popović (4 shared papers)Meike A. Schweisfurth (5 shared papers)Matija Štrbac (5 shared papers)Janne M. Hahne (3 shared papers)Christian Cipriani (2 shared papers)
In The Last Decade
Marko Marković
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 784
- Cellular and Molecular Neuroscience 538
- Biomedical Engineering 945
- Human-Computer Interaction 91
- Rehabilitation 77
Countries citing papers authored by Marko Marković
This map shows the geographic impact of Marko Marković'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 Marko Marković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Marković more than expected).
Fields of papers citing papers by Marko Marković
This network shows the impact of papers produced by Marko Marković. 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 Marko Marković. The network helps show where Marko Marković may publish in the future.
Co-authors
The 25 scholars most cited alongside Marko Marković, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 99 | |
| 2 | 2014 | 95 | |
| 3 | 2015 | 94 | |
| 4 | 2017 | 93 | |
| 5 | 2018 | 93 | |
| 6 | 2016 | 81 | |
| 7 | 2016 | 77 | |
| 8 | 2015 | 72 | |
| 9 | 2018 | 49 | |
| 10 | 2017 | 48 | |
| 11 | 2016 | 42 | |
| 12 | 2017 | 41 | |
| 13 | 2015 | 35 | |
| 14 | 2021 | 33 | |
| 15 | 2015 | 29 | |
| 16 | 2019 | 22 | |
| 17 | 2021 | 19 | |
| 18 | 2014 | 18 | |
| 19 | 2019 | 15 | |
| 20 | 2012 | 13 |
About Marko Marković
Marko Marković is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (23 papers), Neuroscience and Neural Engineering (16 papers), EEG and Brain-Computer Interfaces (12 papers), Motor Control and Adaptation (10 papers), Tactile and Sensory Interactions (9 papers), Context-Aware Activity Recognition Systems (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Cognitive Neuroscience (784 citations), Cellular and Molecular Neuroscience (538 citations), Biomedical Engineering (945 citations), Human-Computer Interaction (91 citations) and Rehabilitation (77 citations). Marko Marković has collaborated with scholars based in Germany, Serbia and Denmark. Frequent co-authors include Dario Farina, Strahinja Došen, Bernhard Graimann, Dejan B. Popović, Meike A. Schweisfurth, Matija Štrbac, Janne M. Hahne, Christian Cipriani, Leonard F. Engels and Goran Bijelić. Their work appears in journals such as Journal of Neural Engineering, Journal of NeuroEngineering and Rehabilitation, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Experimental Brain Research and Scientific Reports.
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.