Aleksandra Pidde

540 citations
6 papers · 336 indexed · 1 hit paper · h-index 6
Topics
Neural dynamics and brain function (3 papers)Photoreceptor and optogenetics research (2 papers)Genetics, Aging, and Longevity in Model Organisms (2 papers)

In The Last Decade

Aleksandra Pidde

6 papers receiving 332 citations

Hit Papers

Surrogate data for hypothesis testing of physical systems2018202620202023201850100150200

Peers

Aleksandra Pidde
Comparison fields: 5 of 84
  • Cognitive Neuroscience 137
  • Economics and Econometrics 61
  • Cellular and Molecular Neuroscience 48
  • Statistical and Nonlinear Physics 41
  • Global and Planetary Change 37
Replace Katalin Štěrbová with:
Katalin Štěrbová Czechia
Kang K. L. Liu United States
Giacomo Raffaelli Italy
Benjamin Pittman-Polletta United States
Gemma Lancaster United Kingdom
Valentina Ticcinelli United Kingdom
Björn Kralemann Germany
Patrick A. Stokes United States
Carsten Schäfer Germany
Spase Petkoski France
Aleksandra Pidde relative to Katalin Štěrbová Czechia Katalin Štěrbová's profile →
Citations per field
00.5×1.5×1.9×
Katalin Štěrbová · 1×
Citations per year

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

6 of 6 papers shown
#WorkIndexed citations
1 10
2 5
3 27
4 15
5 31
6
Surrogate data for hypothesis testing of physical systemsbreakdown →
248

About Aleksandra Pidde

Aleksandra Pidde is a scholar working on Aging, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 6 papers that have together received 336 indexed citations. Recurring topics across this 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). The work is most often cited by research in Cognitive Neuroscience (137 citations), Aging (10 citations) and Statistical and Nonlinear Physics (41 citations). Aleksandra Pidde has collaborated with scholars based in Spain, United Kingdom and United States. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods and Physics Reports.

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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