Jennifer Simonotto
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Statistical and Nonlinear Physics
- Co-authors
- Keith A.A. FoxMichael SmallRobert G. HarrisonMarcus KaiserMiles A. WhittingtonAnita K. RoopunDejin YuAlistair Jenkins
- Topics
- Neural dynamics and brain function (8 papers)Neuroscience and Neuropharmacology Research (6 papers)Cardiac electrophysiology and arrhythmias (4 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review AIEEE Transactions on Biomedical Engineering
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Jennifer Simonotto
18 papers receiving 249 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 137
- Cellular and Molecular Neuroscience 94
- Molecular Biology 50
- Cardiology and Cardiovascular Medicine 46
- Statistical and Nonlinear Physics 35
Countries citing papers authored by Jennifer Simonotto
This map shows the geographic impact of Jennifer Simonotto'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 Jennifer Simonotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Simonotto more than expected).
Fields of papers citing papers by Jennifer Simonotto
This network shows the impact of papers produced by Jennifer Simonotto. 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 Jennifer Simonotto. The network helps show where Jennifer Simonotto may publish in the future.
Co-authorship network of co-authors of Jennifer Simonotto
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Simonotto. A scholar is included among the top collaborators of Jennifer Simonotto 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 Jennifer Simonotto. Jennifer Simonotto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 27 | |
| 5 | 2 | |
| 6 | 73 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 0 | |
| 18 | 43 | |
| 19 | 1 | |
| 20 | Automatic identification and recording of cardiac arrhythmia | 9 |
About Jennifer Simonotto
Jennifer Simonotto is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 20 papers that have together received 256 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Cognitive Neuroscience (137 citations), Cellular and Molecular Neuroscience (94 citations) and Statistical and Nonlinear Physics (35 citations). Jennifer Simonotto has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Keith A.A. Fox, Michael Small, Robert G. Harrison, Marcus Kaiser, Miles A. Whittington, Anita K. Roopun, Dejin Yu, Alistair Jenkins, Claire Nicholson and Roger D. Traub. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review A and IEEE Transactions on Biomedical Engineering.
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.