David J. Guggenmos
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Neurology top 5%
- Co-authors
- Randolph J. NudoScott BarbayPedram MohseniMeysam AzinJonathan D. MahnkenMichela ChiappaloneAlberto AvernaDavid T. Bundy
- Topics
- Neuroscience and Neural Engineering (26 papers)EEG and Brain-Computer Interfaces (23 papers)Neural dynamics and brain function (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
David J. Guggenmos
34 papers receiving 670 citations
Peers
Comparison fields: 5 of 64
- Cellular and Molecular Neuroscience 432
- Cognitive Neuroscience 400
- Electrical and Electronic Engineering 166
- Biomedical Engineering 165
- Neurology 138
Countries citing papers authored by David J. Guggenmos
This map shows the geographic impact of David J. Guggenmos'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 David J. Guggenmos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Guggenmos more than expected).
Fields of papers citing papers by David J. Guggenmos
This network shows the impact of papers produced by David J. Guggenmos. 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 David J. Guggenmos. The network helps show where David J. Guggenmos may publish in the future.
Co-authorship network of co-authors of David J. Guggenmos
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Guggenmos. A scholar is included among the top collaborators of David J. Guggenmos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Guggenmos. David J. Guggenmos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 22 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 46 | |
| 15 | 26 | |
| 16 | 21 | |
| 17 | 17 | |
| 18 | 16 | |
| 19 | 35 | |
| 20 | 69 |
About David J. Guggenmos
David J. Guggenmos is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 36 papers that have together received 686 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (26 papers), EEG and Brain-Computer Interfaces (23 papers) and Neural dynamics and brain function (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (432 citations), Cognitive Neuroscience (400 citations) and Neurology (138 citations). David J. Guggenmos has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Randolph J. Nudo, Scott Barbay, Pedram Mohseni, Meysam Azin, Jonathan D. Mahnken, Michela Chiappalone, Alberto Averna, David T. Bundy, Miguel Pais-Vieira and Miguel A. L. Nicolelis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience 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.