Aleksandra Pidde

540 total citations · 1 hit paper
6 papers, 336 citations indexed

About

Aleksandra Pidde is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Aging. According to data from OpenAlex, Aleksandra Pidde has authored 6 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Aging. Recurrent topics in Aleksandra Pidde's work include Neural dynamics and brain function (3 papers), Photoreceptor and optogenetics research (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Aleksandra Pidde is often cited by papers focused on Neural dynamics and brain function (3 papers), Photoreceptor and optogenetics research (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Aleksandra Pidde collaborates with scholars based in Spain, United Kingdom and United States. Aleksandra Pidde's co-authors include Aneta Stefanovska, Dmytro Iatsenko, Valentina Ticcinelli, Gemma Lancaster, Michael Krieg, Ravi Das, Michał Żochowski, Montserrat Porta-de-la-Riva, Nicolette Ognjanovski and Sara J. Aton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and Physics Reports.

In The Last Decade

Aleksandra Pidde

6 papers receiving 332 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Surrogate data for hypothesis testing of physical systems

2018 248 citations Gemma Lancaster, Dmytro Iatsenko et al. Physics Reports profile →

Peers

Aleksandra Pidde

CN

EE

CMN

SNP

GPC

Gemma Lancaster United Kingdom

Valentina Ticcinelli United Kingdom

Mirosław Łątka Poland

Katalin Štěrbová Czechia

Felix Siebenhühner Finland

Björn Kralemann Germany

Christopher J. Cellucci United States

Christian Geier Germany

О. Н. Павлова Russia

Anna Krakovská Slovakia

Gemma Lancaster United Kingdom

Aleksandra Pidde

142 ×1.0

CN

63 ×1.0

EE

28 ×0.6

CMN

44 ×1.1

SNP

35 ×0.9

GPC

Citations per year, relative to Aleksandra Pidde Aleksandra Pidde (= 1×) peers Gemma Lancaster

Countries citing papers authored by Aleksandra Pidde

Since Specialization

Citations

This map shows the geographic impact of Aleksandra Pidde'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 Aleksandra Pidde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksandra Pidde more than expected).

Fields of papers citing papers by Aleksandra Pidde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aleksandra Pidde. 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 Aleksandra Pidde. The network helps show where Aleksandra Pidde may publish in the future.

Co-authorship network of co-authors of Aleksandra Pidde

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Pidde. A scholar is included among the top collaborators of Aleksandra Pidde 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 Aleksandra Pidde. Aleksandra Pidde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Porta-de-la-Riva, Montserrat, et al.. (2023). Neural engineering with photons as synaptic transmitters. Nature Methods. 20(5). 761–769. 10 indexed citations

2.

Krieg, Michael, Aleksandra Pidde, & Ravi Das. (2022). Mechanosensitive body–brain interactions in Caenorhabditis elegans. Current Opinion in Neurobiology. 75. 102574–102574. 5 indexed citations

3.

Das, Ravi, et al.. (2021). An asymmetric mechanical code ciphers curvature-dependent proprioceptor activity. Science Advances. 7(38). eabg4617–eabg4617. 27 indexed citations

4.

Pidde, Aleksandra, et al.. (2020). Defining the wavelet bispectrum. Applied and Computational Harmonic Analysis. 51. 171–224. 15 indexed citations

5.

Roach, James P., Aleksandra Pidde, Jiaxing Wu, et al.. (2018). Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks. Proceedings of the National Academy of Sciences. 115(13). E3017–E3025. 31 indexed citations

6.

Lancaster, Gemma, Dmytro Iatsenko, Aleksandra Pidde, Valentina Ticcinelli, & Aneta Stefanovska. (2018). Surrogate data for hypothesis testing of physical systems. Physics Reports. 748. 1–60. 248 indexed citations breakdown →

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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