Erika Covi
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 10%
- Polymers and Plastics top 10%
- Co-authors
- Sabina SpigaStefano BrivioM. FanciulliWei WangDaniele IelminiAlexander SerbThemis ProdromakisElia Ambrosi
- Topics
- Advanced Memory and Neural Computing (38 papers)Ferroelectric and Negative Capacitance Devices (21 papers)Neural dynamics and brain function (15 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaApplied Physics Letters
In The Last Decade
Erika Covi
39 papers receiving 965 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 930
- Cellular and Molecular Neuroscience 467
- Cognitive Neuroscience 288
- Artificial Intelligence 142
- Polymers and Plastics 102
Countries citing papers authored by Erika Covi
This map shows the geographic impact of Erika Covi'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 Erika Covi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erika Covi more than expected).
Fields of papers citing papers by Erika Covi
This network shows the impact of papers produced by Erika Covi. 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 Erika Covi. The network helps show where Erika Covi may publish in the future.
Co-authorship network of co-authors of Erika Covi
This figure shows the co-authorship network connecting the top 25 collaborators of Erika Covi. A scholar is included among the top collaborators of Erika Covi 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 Erika Covi. Erika Covi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 29 | |
| 4 | 68 | |
| 5 | 7 | |
| 6 | 106 | |
| 7 | 37 | |
| 8 | 33 | |
| 9 | 8 | |
| 10 | 21 | |
| 11 | 22 | |
| 12 | 10 | |
| 13 | 28 | |
| 14 | 58 | |
| 15 | 142 | |
| 16 | 39 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 1 |
About Erika Covi
Erika Covi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 40 papers that have together received 982 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (38 papers), Ferroelectric and Negative Capacitance Devices (21 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (467 citations), Electrical and Electronic Engineering (930 citations) and Cognitive Neuroscience (288 citations). Erika Covi has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Sabina Spiga, Stefano Brivio, M. Fanciulli, Wei Wang, Daniele Ielmini, Alexander Serb, Themis Prodromakis, Elia Ambrosi, Jacopo Frascaroli and Yu‐Hsuan Lin. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.
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.