Andreas Hartel
- Molecular Biology
- Electrical and Electronic Engineering
- Plant Science
- Cellular and Molecular Neuroscience
- Biomedical Engineering
- Co-authors
- Gerhard ThielChristian SiebenCornelia EisenachJens‐Uwe SutterMichael R. BlattJohannes SchemmelKarlheinz MeierKenneth L. Shepard
- Topics
- Advanced Memory and Neural Computing (6 papers)Neural Networks and Reservoir Computing (4 papers)Lipid Membrane Structure and Behavior (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Andreas Hartel
19 papers receiving 579 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 222
- Electrical and Electronic Engineering 188
- Plant Science 144
- Cellular and Molecular Neuroscience 89
- Biomedical Engineering 89
Countries citing papers authored by Andreas Hartel
This map shows the geographic impact of Andreas Hartel'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 Andreas Hartel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Hartel more than expected).
Fields of papers citing papers by Andreas Hartel
This network shows the impact of papers produced by Andreas Hartel. 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 Andreas Hartel. The network helps show where Andreas Hartel may publish in the future.
Co-authorship network of co-authors of Andreas Hartel
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Hartel. A scholar is included among the top collaborators of Andreas Hartel 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 Andreas Hartel. Andreas Hartel 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 | 21 | |
| 3 | 9 | |
| 4 | 38 | |
| 5 | 73 | |
| 6 | 33 | |
| 7 | 68 | |
| 8 | 16 | |
| 9 | 11 | |
| 10 | 23 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 16 | |
| 15 | Towards biologically realistic multi-compartment neuron model emulation in analog VLSI | 2 |
| 16 | 14 | |
| 17 | 22 | |
| 18 | 161 | |
| 19 | 35 |
About Andreas Hartel
Andreas Hartel is a scholar working on Cellular and Molecular Neuroscience, Endocrinology and Bioengineering, having authored 19 papers that have together received 583 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Neural Networks and Reservoir Computing (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (89 citations), Cognitive Neuroscience (84 citations) and Plant Science (144 citations). Andreas Hartel has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Gerhard Thiel, Christian Sieben, Cornelia Eisenach, Jens‐Uwe Sutter, Michael R. Blatt, Johannes Schemmel, Karlheinz Meier, Kenneth L. Shepard, Andreas Grübl and Christian Pehle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.