Maria Asplund
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- Neuroscience and Neural Engineering 53
- Polymers and Plastics top 1%
- Conducting polymers and applications 35
- Bioengineering top 2%
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials 14
- Muscle activation and electromyography studies 7
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 13
- Neural dynamics and brain function 4
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- Advanced Memory and Neural Computing 13
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- Planarian Biology and Electrostimulation 5
- Co-authors
- Christian BoehlerThomas StieglitzOlle InganäsHans von HolstTobias NybergLuciano FadigaCarolin KleberStefano Carli
- Journals
- Nature Communications (2 papers)Neuron (1 paper)SHILAP Revista de lepidopterología (1 paper)
In The Last Decade
Maria Asplund
62 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 121
- Cellular and Molecular Neuroscience 1.6k
- Polymers and Plastics 1.1k
- Bioengineering 171
- Biomedical Engineering 1.1k
- Cognitive Neuroscience 417
Countries citing papers authored by Maria Asplund
This map shows the geographic impact of Maria Asplund'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 Maria Asplund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Asplund more than expected).
Fields of papers citing papers by Maria Asplund
This network shows the impact of papers produced by Maria Asplund. 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 Maria Asplund. The network helps show where Maria Asplund may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Asplund, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 5 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 29 | |
| 8 | 2024 | 12 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 22 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 31 | |
| 15 | 2022 | 5 | |
| 16 | 2020 | 212 | |
| 17 | 2017 | 149 | |
| 18 | 2015 | 133 | |
| 19 | 2015 | 16 | |
| 20 | 2014 | 23 |
About Maria Asplund
Maria Asplund is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics and Cognitive Neuroscience, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (53 papers), Conducting polymers and applications (35 papers), Advanced Sensor and Energy Harvesting Materials (14 papers), Advanced Memory and Neural Computing (13 papers), EEG and Brain-Computer Interfaces (13 papers), Muscle activation and electromyography studies (7 papers), Planarian Biology and Electrostimulation (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Polymers and Plastics (1.1k citations) and Bioengineering (171 citations). Maria Asplund has collaborated with scholars based in Germany, Sweden and Italy. Frequent co-authors include Christian Boehler, Thomas Stieglitz, Olle Inganäs, Hans von Holst, Tobias Nyberg, Luciano Fadiga, Carolin Kleber, Stefano Carli, Karen Lienkamp and Jürgen Rühe. Their work appears in journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.
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.