Gemma Lancaster

636 total citations · 1 hit paper
13 papers, 414 citations indexed

About

Gemma Lancaster is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gemma Lancaster has authored 13 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Computer Networks and Communications and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gemma Lancaster's work include Neural dynamics and brain function (5 papers), Optical Imaging and Spectroscopy Techniques (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Gemma Lancaster is often cited by papers focused on Neural dynamics and brain function (5 papers), Optical Imaging and Spectroscopy Techniques (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Gemma Lancaster collaborates with scholars based in United Kingdom, Slovenia and Nigeria. Gemma Lancaster's co-authors include Aneta Stefanovska, Aleksandra Pidde, Dmytro Iatsenko, Valentina Ticcinelli, P. V. E. McClintock, Barbara Loggini, Marco Rossi, Raffaele Pingitore, Marco Romanelli and J. Patrick Neary and has published in prestigious journals such as The Journal of Physiology, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Gemma Lancaster

13 papers receiving 407 citations

Hit Papers

Surrogate data for hypothesis testing of physical systems 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gemma Lancaster United Kingdom 8 142 75 67 64 63 13 414
Valentina Ticcinelli United Kingdom 7 194 1.4× 65 0.9× 78 1.2× 98 1.5× 71 1.1× 11 469
Aleksandra Pidde Spain 6 137 1.0× 34 0.5× 29 0.4× 34 0.5× 61 1.0× 6 336
О. Н. Павлова Russia 12 117 0.8× 53 0.7× 34 0.5× 37 0.6× 145 2.3× 65 361
Kang K. L. Liu United States 8 414 2.9× 83 1.1× 29 0.4× 189 3.0× 106 1.7× 11 749
Dmytro Iatsenko United Kingdom 9 261 1.8× 155 2.1× 84 1.3× 161 2.5× 80 1.3× 12 836
Alfonso Delgado-Bonal United States 10 114 0.8× 53 0.7× 13 0.2× 85 1.3× 91 1.4× 17 612
Remo Bedini Italy 15 321 2.3× 49 0.7× 16 0.2× 109 1.7× 49 0.8× 31 671
Jaromír Kukal Czechia 15 209 1.5× 71 0.9× 26 0.4× 49 0.8× 31 0.5× 75 723
Gerd Pfıster Germany 11 109 0.8× 110 1.5× 25 0.4× 26 0.4× 43 0.7× 17 767
Anna Krakovská Slovakia 12 384 2.7× 49 0.7× 11 0.2× 84 1.3× 107 1.7× 27 619

Countries citing papers authored by Gemma Lancaster

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Lancaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Lancaster

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

All Works

13 of 13 papers shown
1.
Meglič, Bernard, Gemma Lancaster, Jan Kobal, et al.. (2024). Neurovascular phase coherence is altered in Alzheimer’s disease. Brain Communications. 7(1). fcaf007–fcaf007. 4 indexed citations
2.
Kobal, Jan, Gemma Lancaster, Bernard Meglič, et al.. (2024). The phase coherence of the neurovascular unit is reduced in Huntington’s disease. Brain Communications. 6(3). fcae166–fcae166. 4 indexed citations
3.
Lancaster, Gemma, Bernard Meglič, Jan Kobal, et al.. (2023). Aging affects the phase coherence between spontaneous oscillations in brain oxygenation and neural activity. Brain Research Bulletin. 201. 110704–110704. 6 indexed citations
4.
Lancaster, Gemma, Tadej Debevec, Grégoire P. Millet, et al.. (2020). Relationship between cardiorespiratory phase coherence during hypoxia and genetic polymorphism in humans. The Journal of Physiology. 598(10). 2001–2019. 13 indexed citations
5.
Lancaster, Gemma, et al.. (2019). On the suitability of laser-Doppler flowmetry for capturing microvascular blood flow dynamics from darkly pigmented skin. Physiological Measurement. 40(7). 74005–74005. 13 indexed citations
6.
Iatsenko, Dmytro, et al.. (2019). MODA v1.01. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Gruszecki, Marcin, Gemma Lancaster, Aneta Stefanovska, et al.. (2018). Human subarachnoid space width oscillations in the resting state. Scientific Reports. 8(1). 3057–3057. 14 indexed citations
8.
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 →
9.
Lancaster, Gemma, et al.. (2016). Reconstructing Time-Dependent Dynamics. Proceedings of the IEEE. 104(2). 223–241. 49 indexed citations
10.
Lancaster, Gemma, et al.. (2016). Modelling chronotaxicity of cellular energy metabolism to facilitate the identification of altered metabolic states. Scientific Reports. 6(1). 29584–29584. 18 indexed citations
11.
Lancaster, Gemma, Aneta Stefanovska, Barbara Loggini, et al.. (2015). Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy. Scientific Reports. 5(1). 12825–12825. 29 indexed citations
12.
Lancaster, Gemma, et al.. (2015). Detecting Chronotaxic Systems from Single-Variable Time Series with Separable Amplitude and Phase. Entropy. 17(6). 4413–4438. 4 indexed citations
13.
Lancaster, Gemma, et al.. (1987). High Phase Volume Liquid CO<sub>2</sub> Fracturing Fluids. Annual Technical Meeting. 11 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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