Pedro D. Maia

505 total citations
25 papers, 302 citations indexed

About

Pedro D. Maia is a scholar working on Cognitive Neuroscience, Physiology and Neurology. According to data from OpenAlex, Pedro D. Maia has authored 25 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Physiology and 6 papers in Neurology. Recurrent topics in Pedro D. Maia's work include Alzheimer's disease research and treatments (8 papers), Functional Brain Connectivity Studies (7 papers) and Neural dynamics and brain function (6 papers). Pedro D. Maia is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Functional Brain Connectivity Studies (7 papers) and Neural dynamics and brain function (6 papers). Pedro D. Maia collaborates with scholars based in United States, Canada and Portugal. Pedro D. Maia's co-authors include J. Nathan Kutz, Ashish Raj, Lucas M. Stolerman, Sneha Pandya, Bethany Lusch, Christopher Mezias, Benjamin Freeze, Chenfei Zhang, Matthew A. Hemphill and Kevin Kit Parker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Pedro D. Maia

24 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro D. Maia United States 11 95 68 63 61 51 25 302
Stephen Baigent United Kingdom 11 31 0.3× 10 0.1× 110 1.7× 108 1.8× 29 0.6× 32 374
Shivendra G. Tewari United States 15 50 0.5× 38 0.6× 188 3.0× 117 1.9× 94 1.8× 35 452
Franciszek Rakowski Poland 9 78 0.8× 16 0.2× 150 2.4× 14 0.2× 25 0.5× 15 365
Vincent Guillemot France 13 65 0.7× 35 0.5× 248 3.9× 13 0.2× 41 0.8× 22 583
Zsanett Bahor United Kingdom 8 21 0.2× 45 0.7× 77 1.2× 62 1.0× 18 0.4× 13 408
Vladimir Grubelnik Slovenia 11 14 0.1× 38 0.6× 91 1.4× 7 0.1× 17 0.3× 33 337
Robert L. Peach United Kingdom 11 66 0.7× 5 0.1× 18 0.3× 10 0.2× 81 1.6× 40 347
Wenlian Lu China 7 67 0.7× 5 0.1× 27 0.4× 28 0.5× 44 0.9× 15 269
Aaron Tanenbaum United States 10 111 1.2× 11 0.2× 15 0.2× 7 0.1× 44 0.9× 14 290

Countries citing papers authored by Pedro D. Maia

Since Specialization
Citations

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

Fields of papers citing papers by Pedro D. Maia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro D. Maia. 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 Pedro D. Maia. The network helps show where Pedro D. Maia may publish in the future.

Co-authorship network of co-authors of Pedro D. Maia

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro D. Maia. A scholar is included among the top collaborators of Pedro D. Maia 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 Pedro D. Maia. Pedro D. Maia 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.
2.
Maia, Pedro D., et al.. (2025). Searching for the cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s disease. Communications Biology. 8(1). 195–195. 1 indexed citations
3.
Mezias, Christopher, et al.. (2022). Matrix Inversion and Subset Selection (MISS): A pipeline for mapping of diverse cell types across the murine brain. Proceedings of the National Academy of Sciences. 119(14). e2111786119–e2111786119. 5 indexed citations
4.
Maia, Pedro D., et al.. (2022). The effects of microglia on tauopathy progression can be quantified using Nexopathy in silico (Nexis) models. Scientific Reports. 12(1). 21170–21170. 16 indexed citations
5.
Pandya, Sneha, Pedro D. Maia, Benjamin Freeze, et al.. (2022). Modeling seeding and neuroanatomic spread of pathology in amyotrophic lateral sclerosis. NeuroImage. 251. 118968–118968. 17 indexed citations
6.
Maia, Pedro D., et al.. (2021). Emergence of directional bias in tau deposition from axonal transport dynamics. PLoS Computational Biology. 17(7). e1009258–e1009258. 11 indexed citations
7.
Maia, Pedro D., et al.. (2021). Predicting dengue outbreaks in Brazil with manifold learning on climate data. Expert Systems with Applications. 192. 116324–116324. 10 indexed citations
8.
Maia, Pedro D., et al.. (2020). Dynamical Role of Pivotal Brain Regions in Parkinson Symptomatology Uncovered with Deep Learning. Brain Sciences. 10(2). 73–73. 12 indexed citations
9.
Freeze, Benjamin, Pedro D. Maia, Sneha Pandya, & Ashish Raj. (2020). Network mediation of pathology pattern in sporadic Creutzfeldt–Jakob disease. Brain Communications. 2(1). fcaa060–fcaa060. 6 indexed citations
10.
Maia, Pedro D., Ashish Raj, & J. Nathan Kutz. (2019). Slow-gamma frequencies are optimally guarded against effects of neurodegenerative diseases and traumatic brain injuries. Journal of Computational Neuroscience. 47(1). 1–16. 2 indexed citations
11.
Gonzalez, Dibet Garcia, et al.. (2019). Automated Vision System for Cutting Fixed-weight or Fixed-length Frozen Fish Portions. 707–714. 4 indexed citations
12.
Stolerman, Lucas M., Pedro D. Maia, & J. Nathan Kutz. (2019). Forecasting dengue fever in Brazil: An assessment of climate conditions. PLoS ONE. 14(8). e0220106–e0220106. 56 indexed citations
13.
Weber, M., Pedro D. Maia, & J. Nathan Kutz. (2017). Estimating Memory Deterioration Rates Following Neurodegeneration and Traumatic Brain Injuries in a Hopfield Network Model. Frontiers in Neuroscience. 11. 623–623. 4 indexed citations
14.
Maia, Pedro D. & J. Nathan Kutz. (2017). Reaction time impairments in decision-making networks as a diagnostic marker for traumatic brain injuries and neurological diseases. Journal of Computational Neuroscience. 42(3). 323–347. 15 indexed citations
15.
Maia, Pedro D., et al.. (2017). Functionality and Robustness of Injured Connectomic Dynamics in C. elegans: Linking Behavioral Deficits to Neural Circuit Damage. PLoS Computational Biology. 13(1). e1005261–e1005261. 6 indexed citations
16.
17.
Lusch, Bethany, Pedro D. Maia, & J. Nathan Kutz. (2016). Inferring connectivity in networked dynamical systems: Challenges using Granger causality. Physical review. E. 94(3). 32220–32220. 28 indexed citations
18.
Maia, Pedro D., et al.. (2015). Diagnostic tools for evaluating the impact of Focal Axonal Swellings arising in neurodegenerative diseases and/or traumatic brain injury. Journal of Neuroscience Methods. 253. 233–243. 16 indexed citations
19.
Maia, Pedro D. & J. Nathan Kutz. (2014). Compromised axonal functionality after neurodegeneration, concussion and/or traumatic brain injury. Journal of Computational Neuroscience. 37(2). 317–332. 15 indexed citations
20.
Maia, Pedro D. & J. Nathan Kutz. (2013). Identifying critical regions for spike propagation in axon segments. Journal of Computational Neuroscience. 36(2). 141–155. 26 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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