Joanna Symonowicz
- Electrical and Electronic Engineering top 5%
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Thomas MuellerDmitry K. PolyushkinAday J. Molina‐MendozaLukas MennelStefan WachterSara Lena Josefin EngbergStela CanulescuGiuliana Di Martino
- Topics
- Advanced Memory and Neural Computing (4 papers)Ferroelectric and Negative Capacitance Devices (3 papers)Semiconductor materials and devices (3 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceAcoustics and Ultrasonics
- Journals
- NatureAdvanced MaterialsACS Nano
- Partner nations
- United KingdomAustriaPoland
In The Last Decade
Joanna Symonowicz
8 papers receiving 915 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 772
- Materials Chemistry 306
- Cellular and Molecular Neuroscience 200
- Artificial Intelligence 188
- Biomedical Engineering 141
Countries citing papers authored by Joanna Symonowicz
This map shows the geographic impact of Joanna Symonowicz'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 Joanna Symonowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Symonowicz more than expected).
Fields of papers citing papers by Joanna Symonowicz
This network shows the impact of papers produced by Joanna Symonowicz. 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 Joanna Symonowicz. The network helps show where Joanna Symonowicz may publish in the future.
Co-authorship network of co-authors of Joanna Symonowicz
This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Symonowicz. A scholar is included among the top collaborators of Joanna Symonowicz 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 Joanna Symonowicz. Joanna Symonowicz 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 | 3 | |
| 3 | 29 | |
| 4 | 15 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 28 | |
| 8 | Ultrafast machine vision with 2D material neural network image sensorsbreakdown → | 838 |
| 9 | 9 |
About Joanna Symonowicz
Joanna Symonowicz is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics, having authored 9 papers that have together received 944 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Semiconductor materials and devices (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (772 citations), Cellular and Molecular Neuroscience (200 citations) and Acoustics and Ultrasonics (9 citations). Joanna Symonowicz has collaborated with scholars based in United Kingdom, Austria and Poland. Frequent co-authors include Thomas Mueller, Dmitry K. Polyushkin, Aday J. Molina‐Mendoza, Lukas Mennel, Stefan Wachter, Sara Lena Josefin Engberg, Stela Canulescu, Giuliana Di Martino, Jørgen Schou and Kirsten M. Ø. Jensen. Their work appears in journals such as Nature, Advanced Materials and ACS Nano.
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.