Joanna Symonowicz

1.2k total citations · 1 hit paper
9 papers, 944 citations indexed

About

Joanna Symonowicz is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Joanna Symonowicz has authored 9 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 4 papers in Materials Chemistry and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Joanna Symonowicz's work include Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Semiconductor materials and devices (3 papers). Joanna Symonowicz is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Semiconductor materials and devices (3 papers). Joanna Symonowicz collaborates with scholars based in United Kingdom, Austria and Poland. Joanna Symonowicz's co-authors include Dmitry K. Polyushkin, Thomas Mueller, Stefan Wachter, Aday J. Molina‐Mendoza, Lukas Mennel, Jørgen Schou, Sara Lena Josefin Engberg, Kirsten M. Ø. Jensen, Giuliana Di Martino and Stela Canulescu and has published in prestigious journals such as Nature, Advanced Materials and ACS Nano.

In The Last Decade

Joanna Symonowicz

8 papers receiving 915 citations

Hit Papers

Ultrafast machine vision with 2D material neural network ... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joanna Symonowicz United Kingdom 7 772 306 200 188 141 9 944
Fuyou Liao China 16 902 1.2× 511 1.7× 224 1.1× 143 0.8× 200 1.4× 26 1.1k
Beom Jin Kim South Korea 10 745 1.0× 235 0.8× 266 1.3× 182 1.0× 221 1.6× 17 1000
Evgeny Zamburg Singapore 15 696 0.9× 324 1.1× 138 0.7× 67 0.4× 176 1.2× 45 897
Aaryan Oberoi United States 10 608 0.8× 366 1.2× 157 0.8× 91 0.5× 128 0.9× 11 822
Akhil Dodda United States 13 623 0.8× 346 1.1× 185 0.9× 78 0.4× 148 1.0× 14 875
Kaichen Zhu China 16 810 1.0× 424 1.4× 210 1.1× 57 0.3× 113 0.8× 38 1000
Zhenhan Zhang China 9 792 1.0× 362 1.2× 208 1.0× 138 0.7× 133 0.9× 22 967
Victoria Chen United States 10 772 1.0× 531 1.7× 220 1.1× 78 0.4× 81 0.6× 16 1.0k
Chung Lam United States 16 924 1.2× 477 1.6× 175 0.9× 149 0.8× 70 0.5× 48 1.1k

Countries citing papers authored by Joanna Symonowicz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

9 of 9 papers shown
1.
Symonowicz, Joanna, et al.. (2025). Understanding Volatile Electrical Switching in hBN Nanodevices by Fully Optical Operando Investigation. Small. 21(26). e2410569–e2410569.
2.
Symonowicz, Joanna, et al.. (2024). Scanning Plasmon-Enhanced Microscopy for Simultaneous Optoelectrical Characterization. ACS Nano. 18(31). 20412–20421. 3 indexed citations
3.
Symonowicz, Joanna, Nives Strkalj, Taehwan Moon, et al.. (2023). In Operando Optical Tracking of Oxygen Vacancy Migration and Phase Change in few Nanometers Ferroelectric HZO Memories. Advanced Functional Materials. 33(22). 29 indexed citations
4.
Silva, José, Marian Cosmin Istrate, Markus Hellenbrand, et al.. (2022). Ferroelectricity and negative piezoelectric coefficient in orthorhombic phase pure ZrO2 thin films. Applied Materials Today. 30. 101708–101708. 15 indexed citations
5.
Symonowicz, Joanna, Dmitry K. Polyushkin, Thomas Mueller, & Giuliana Di Martino. (2022). Fully Optical in Operando Investigation of Ambient Condition Electrical Switching in MoS2 Nanodevices. Advanced Materials. 35(10). e2209968–e2209968. 9 indexed citations
6.
Pawlus, Sebastian, Katarzyna Fedoruk, Monika Trzebiatowska, et al.. (2021). Stable and reversible pressure-controlled dielectric switching in dicyanide hybrid perovskite. Applied Materials Today. 22. 100957–100957. 13 indexed citations
7.
Engberg, Sara Lena Josefin, Joanna Symonowicz, Jørgen Schou, Stela Canulescu, & Kirsten M. Ø. Jensen. (2020). Characterization of Cu2ZnSnS4 Particles Obtained by the Hot-Injection Method. ACS Omega. 5(18). 10501–10509. 28 indexed citations
8.
Mennel, Lukas, Joanna Symonowicz, Stefan Wachter, et al.. (2020). Ultrafast machine vision with 2D material neural network image sensors. Nature. 579(7797). 62–66. 838 indexed citations breakdown →
9.
Symonowicz, Joanna, et al.. (2017). Investigation of the light-soaking effect in organic solar cells using dielectric permittivity and electric modulus approaches. Organic Electronics. 52. 32–41. 9 indexed citations

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.

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