Andrew Geronimo

503 total citations
31 papers, 339 citations indexed

About

Andrew Geronimo is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Andrew Geronimo has authored 31 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 9 papers in Cognitive Neuroscience and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Andrew Geronimo's work include Amyotrophic Lateral Sclerosis Research (11 papers), EEG and Brain-Computer Interfaces (9 papers) and Neurological disorders and treatments (5 papers). Andrew Geronimo is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (11 papers), EEG and Brain-Computer Interfaces (9 papers) and Neurological disorders and treatments (5 papers). Andrew Geronimo collaborates with scholars based in United States, United Kingdom and Switzerland. Andrew Geronimo's co-authors include Zachary Simmons, Steven J. Schiff, William J. Ray, Semyon Slobounov, Elizabeth F. Teel, Susan Walsh, Courtney Wright, Bethany Snyder, Anne Morris and Helen Stephens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Andrew Geronimo

26 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Geronimo United States 9 149 95 63 53 52 31 339
Eva Knifed Canada 7 53 0.4× 24 0.3× 63 1.0× 71 1.3× 22 0.4× 9 293
Aiesha Ahmed United States 9 182 1.2× 19 0.2× 44 0.7× 22 0.4× 50 1.0× 28 349
Diem Kieu Tran United States 10 156 1.0× 16 0.2× 40 0.6× 19 0.4× 46 0.9× 27 269
Jason Siegel United States 13 168 1.1× 17 0.2× 39 0.6× 13 0.2× 71 1.4× 37 390
Joshua Goldman United States 9 114 0.8× 26 0.3× 18 0.3× 25 0.5× 186 3.6× 24 287
Samuel B. Tomlinson United States 13 74 0.5× 185 1.9× 80 1.3× 26 0.5× 31 0.6× 30 426
A. Thron Germany 7 154 1.0× 58 0.6× 28 0.4× 10 0.2× 104 2.0× 26 425
Rodrigo Moreira Faleiro Brazil 8 178 1.2× 18 0.2× 53 0.8× 10 0.2× 101 1.9× 30 294
Clara Oliveras Spain 10 74 0.5× 12 0.1× 29 0.5× 66 1.2× 143 2.8× 28 344
María de Toledo Spain 12 144 1.0× 19 0.2× 76 1.2× 37 0.7× 30 0.6× 31 412

Countries citing papers authored by Andrew Geronimo

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Geronimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Geronimo

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

All Works

20 of 20 papers shown
1.
Nunes, Adonay S., Ram Kinker Mishra, Andrew Geronimo, et al.. (2025). Using wearable sensors and machine learning to assess upper limb function in Huntington’s disease. Communications Medicine. 5(1). 50–50. 2 indexed citations
2.
Nunes, Adonay S., Ram Kinker Mishra, Andrew Geronimo, et al.. (2025). Digital speech assessments and machine learning for differentiation of neurodegenerative diseases. Clinical Parkinsonism & Related Disorders. 13. 100389–100389.
3.
4.
5.
Geronimo, Andrew & Zachary Simmons. (2024). Remote pulmonary function testing allows for early identification of need for non-invasive ventilation in a subset of persons with ALS. Journal of the Neurological Sciences. 459. 122971–122971. 5 indexed citations
6.
Nunes, Adonay S., Ram Kinker Mishra, Andrew Geronimo, et al.. (2024). Continuous Monitoring of Upper Limb Function in Neurological Disorders Using a Wearable Sensor (S43.006). Neurology. 102(7_supplement_1). 1 indexed citations
7.
Walsh, Susan, Zachary L. Simmons, Sheridan Miyamoto, & Andrew Geronimo. (2024). A nurse coaching intervention to improve support to individuals living with ALS. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 26(1-2). 22–28. 1 indexed citations
8.
Martin, Anne E., et al.. (2023). Spatial-Temporal Analysis of Gait in Amyotrophic Lateral Sclerosis Using Foot-Worn Inertial Sensors: An Observational Study. SHILAP Revista de lepidopterología. 8(1). 22–29. 3 indexed citations
9.
Walsh, Susan, et al.. (2023). Rapid Conversion to a Completely Virtual Multidisciplinary ALS Clinic in Response to the COVID-19 Pandemic: Implications for Future Care Delivery. Journal of Clinical Neuromuscular Disease. 24(4). 207–213. 3 indexed citations
10.
Geronimo, Andrew, et al.. (2022). Ten years of riluzole use in a tertiary ALS clinic. Muscle & Nerve. 65(6). 659–666. 7 indexed citations
11.
Ssentongo, Paddy, Claudio Fronterrè, Andrew Geronimo, et al.. (2021). Pan-African evolution of within- and between-country COVID-19 dynamics. Proceedings of the National Academy of Sciences. 118(28). 21 indexed citations
12.
Geronimo, Andrew, Kathryn Sheldon, James R. Broach, Zachary Simmons, & Steven J. Schiff. (2017). Expansion of C9ORF72 in amyotrophic lateral sclerosis correlates with brain-computer interface performance. Scientific Reports. 7(1). 8875–8875. 1 indexed citations
13.
Ssentongo, Paddy, Derek G. Sim, Ali Nabi, et al.. (2017). A Murine Model to Study Epilepsy and SUDEP Induced by Malaria Infection. Scientific Reports. 7(1). 43652–43652. 15 indexed citations
14.
Geronimo, Andrew, Courtney Wright, Anne Morris, et al.. (2017). Incorporation of telehealth into a multidisciplinary ALS Clinic: feasibility and acceptability. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 18(7-8). 555–561. 64 indexed citations
15.
Geronimo, Andrew, et al.. (2016). Single Trial Predictors for Gating Motor-Imagery Brain-Computer Interfaces Based on Sensorimotor Rhythm and Visual Evoked Potentials. Frontiers in Neuroscience. 10. 164–164. 1 indexed citations
16.
Geronimo, Andrew, Zachary Simmons, & Steven J. Schiff. (2016). Performance predictors of brain–computer interfaces in patients with amyotrophic lateral sclerosis. Journal of Neural Engineering. 13(2). 26002–26002. 47 indexed citations
17.
Gay, Michael, William J. Ray, Brian D. Johnson, et al.. (2015). Feasibility of EEG Measures in Conjunction With Light Exercise for Return-to-Play Evaluation After Sports-Related Concussion. Developmental Neuropsychology. 40(4). 248–253. 10 indexed citations
18.
Geronimo, Andrew, Helen Stephens, Steven J. Schiff, & Zachary Simmons. (2014). Acceptance of brain-computer interfaces in amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 16(3-4). 258–264. 18 indexed citations
19.
Teel, Elizabeth F., William J. Ray, Andrew Geronimo, & Semyon Slobounov. (2013). Residual alterations of brain electrical activity in clinically asymptomatic concussed individuals: An EEG study. Clinical Neurophysiology. 125(4). 703–707. 44 indexed citations
20.
Geronimo, Andrew, et al.. (2012). Visual evoked potentials for attentional gating in a brain-computer interface. PubMed. 118. 1745–1748. 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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