Samantha Simons

410 total citations
9 papers, 295 citations indexed

About

Samantha Simons is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Samantha Simons has authored 9 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Surgery. Recurrent topics in Samantha Simons's work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (6 papers) and Functional Brain Connectivity Studies (2 papers). Samantha Simons is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (6 papers) and Functional Brain Connectivity Studies (2 papers). Samantha Simons collaborates with scholars based in United Kingdom, Germany and United States. Samantha Simons's co-authors include Daniel Abásolo, Pedro Espino, Javier Escudero, Giulio Tononi, Vladyslav V. Vyazovskiy, Hamed Azami, Jörg Berkenhagen, Paul Sauseng, Thorsten Stoeck and Matthias Bernreuther and has published in prestigious journals such as Journal of Neurophysiology, Fisheries Research and Entropy.

In The Last Decade

Samantha Simons

8 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samantha Simons United Kingdom	5	216	69	37	36	29	9	295
Zhenxi Song China	9	231 1.1×	43 0.6×	30 0.8×	27 0.8×	17 0.6×	20	318
Сергей Борисов Finland	11	436 2.0×	78 1.1×	39 1.1×	30 0.8×	68 2.3×	15	492
Xiashuang Wang China	7	149 0.7×	36 0.5×	60 1.6×	26 0.7×	22 0.8×	15	249
Antonio J. Ibáñez‐Molina Spain	11	358 1.7×	65 0.9×	27 0.7×	28 0.8×	25 0.9×	32	457
Markus Waser Austria	11	238 1.1×	36 0.5×	17 0.5×	29 0.8×	30 1.0×	21	374
R. de la Rosa Spain	10	214 1.0×	67 1.0×	17 0.5×	34 0.9×	30 1.0×	20	369
Miaolin Fan United States	7	249 1.2×	30 0.4×	43 1.2×	11 0.3×	22 0.8×	12	307
Yihong Qiu China	9	257 1.2×	47 0.7×	16 0.4×	16 0.4×	45 1.6×	25	320
Ni Li China	7	107 0.5×	23 0.3×	28 0.8×	46 1.3×	18 0.6×	15	230
Accardo Agostino Italy	4	218 1.0×	78 1.1×	90 2.4×	80 2.2×	21 0.7×	6	360

Countries citing papers authored by Samantha Simons

Since Specialization

Citations

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

Fields of papers citing papers by Samantha Simons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samantha Simons

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

All Works

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9 of 9 papers shown

1.

Simons, Samantha & Bartłomiej W. Papież. (2025). SpineFM: Leveraging Foundation Models for Automatic Spine X-Ray Segmentation. 1–4.

2.

Berkenhagen, Jörg, et al.. (2024). Amending the European fishing fleet segmentation based on machine learning and multivariate statistics. Fisheries Research. 281. 107190–107190. 2 indexed citations

3.

Simons, Samantha, Pedro Espino, & Daniel Abásolo. (2018). Fuzzy Entropy Analysis of the Electroencephalogram in Patients with Alzheimer’s Disease: Is the Method Superior to Sample Entropy?. Entropy. 20(1). 21–21. 90 indexed citations

4.

Simons, Samantha & Daniel Abásolo. (2017). Distance-Based Lempel–Ziv Complexity for the Analysis of Electroencephalograms in Patients with Alzheimer’s Disease. Entropy. 19(3). 129–129. 29 indexed citations

5.

Azami, Hamed, Daniel Abásolo, Samantha Simons, & Javier Escudero. (2017). Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer’s Disease. Entropy. 19(1). 31–31. 52 indexed citations

6.

Simons, Samantha, Daniel Abásolo, & Javier Escudero. (2015). Classification of Alzheimer's disease from quadratic sample entropy of electroencephalogram. Healthcare Technology Letters. 2(3). 70–73. 43 indexed citations

7.

Abásolo, Daniel, et al.. (2015). Lempel-Ziv complexity of cortical activity during sleep and waking in rats. Journal of Neurophysiology. 113(7). 2742–2752. 77 indexed citations

8.

Simons, Samantha, Daniel Abásolo, & Paul Sauseng. (2015). Volume conduction effects on bivariate Lempel-Ziv Complexity of Alzheimer's disease electroencephalograms. PubMed. 12. 7414–7417. 1 indexed citations

9.

Simons, Samantha & Daniel Abásolo. (2014). Permutation Entropy of the Electroencephalogram Background Activity in Alzheimer’s Disease - Investigation into the Incidence of Repeated Values. 97–103. 1 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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