Gemma Lancaster
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
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- Neural dynamics and brain function 5
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- Cerebrospinal fluid and hydrocephalus 1
- Co-authors
- Aneta Stefanovska (11 shared papers)Valentina Ticcinelli (1 shared paper)Dmytro Iatsenko (1 shared paper)Aleksandra Pidde (1 shared paper)P. V. E. McClintock (4 shared papers)Raffaele Pingitore (1 shared paper)Bernard Meglič (3 shared papers)Jan Kobal (3 shared papers)
- Journals
- Scientific Reports (3 papers)Brain Communications (2 papers)The Journal of Physiology (1 paper)Physiological Measurement (1 paper)Physics Reports (1 paper)
- Partner nations
- United KingdomSloveniaPoland
In The Last Decade
Gemma Lancaster
12 papers receiving 454 citations
Gemma Lancaster's Hit Papers
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 146
- Statistical and Nonlinear Physics 50
- Cardiology and Cardiovascular Medicine 65
- Radiology, Nuclear Medicine and Imaging 66
- Signal Processing 34
Countries citing papers authored by Gemma Lancaster
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
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-authors
The 25 scholars most cited alongside Gemma Lancaster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Surrogate data for hypothesis testing of physical systems Hit paper breakdown → | 2018 | 275 |
| 2 | 2016 | 50 | |
| 3 | 2015 | 30 | |
| 4 | 2016 | 23 | |
| 5 | 2020 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2019 | 13 | |
| 8 | 1987 | 11 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2015 | 5 |
About Gemma Lancaster
Gemma Lancaster is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 459 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Complex Systems and Time Series Analysis (2 papers), Thermoregulation and physiological responses (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Petroleum Processing and Analysis (1 paper), Cerebrospinal fluid and hydrocephalus (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Cognitive Neuroscience (146 citations), Statistical and Nonlinear Physics (50 citations), Cardiology and Cardiovascular Medicine (65 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Signal Processing (34 citations). Gemma Lancaster has collaborated with scholars based in United Kingdom, Slovenia and Poland. Frequent co-authors include Aneta Stefanovska, Valentina Ticcinelli, Dmytro Iatsenko, Aleksandra Pidde, P. V. E. McClintock, Raffaele Pingitore, Bernard Meglič, Jan Kobal, Marco Rossi and Barbara Loggini. Their work appears in journals such as Scientific Reports, Brain Communications, The Journal of Physiology, Physiological Measurement 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.