Hannah L. Filmer

1.6k total citations
44 papers, 1.1k citations indexed

About

Hannah L. Filmer is a scholar working on Cognitive Neuroscience, Neurology and Experimental and Cognitive Psychology. According to data from OpenAlex, Hannah L. Filmer has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 24 papers in Neurology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Hannah L. Filmer's work include Neural and Behavioral Psychology Studies (35 papers), Transcranial Magnetic Stimulation Studies (24 papers) and Functional Brain Connectivity Studies (10 papers). Hannah L. Filmer is often cited by papers focused on Neural and Behavioral Psychology Studies (35 papers), Transcranial Magnetic Stimulation Studies (24 papers) and Functional Brain Connectivity Studies (10 papers). Hannah L. Filmer collaborates with scholars based in Australia, Canada and United Kingdom. Hannah L. Filmer's co-authors include Paul E. Dux, Jason B. Mattingley, Saskia Bollmann, Thomas B. Shaw, Claire Naughtin, René Marois, Guy E. Hawkins, Kelly Garner, Elizabeth Varghese and Ashleigh S. Griffin and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Trends in Neurosciences.

In The Last Decade

Hannah L. Filmer

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah L. Filmer Australia 17 937 707 114 114 81 44 1.1k
Marta Bortoletto Italy 19 946 1.0× 628 0.9× 95 0.8× 96 0.8× 114 1.4× 47 1.2k
Liron Jacobson Israel 8 1.0k 1.1× 908 1.3× 130 1.1× 193 1.7× 61 0.8× 11 1.2k
Ian C. Gould United Kingdom 9 967 1.0× 385 0.5× 109 1.0× 78 0.7× 62 0.8× 14 1.1k
Debora Brignani Italy 16 893 1.0× 553 0.8× 78 0.7× 79 0.7× 62 0.8× 35 1.0k
Julie M. Baker United States 14 893 1.0× 770 1.1× 125 1.1× 99 0.9× 104 1.3× 20 1.3k
Manuela Ruzzoli Spain 16 976 1.0× 552 0.8× 150 1.3× 60 0.5× 58 0.7× 32 1.2k
Gábor Csifcsák Norway 17 512 0.5× 414 0.6× 89 0.8× 94 0.8× 46 0.6× 50 870
Tobias Pflugshaupt Switzerland 19 827 0.9× 373 0.5× 141 1.2× 116 1.0× 40 0.5× 42 1.1k
Prateek C. Gandiga United States 3 842 0.9× 1.2k 1.7× 73 0.6× 136 1.2× 220 2.7× 5 1.4k
Dubravko Kičić Finland 12 929 1.0× 698 1.0× 81 0.7× 125 1.1× 99 1.2× 25 1.2k

Countries citing papers authored by Hannah L. Filmer

Since Specialization
Citations

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

Fields of papers citing papers by Hannah L. Filmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah L. Filmer. 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 Hannah L. Filmer. The network helps show where Hannah L. Filmer may publish in the future.

Co-authorship network of co-authors of Hannah L. Filmer

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah L. Filmer. A scholar is included among the top collaborators of Hannah L. Filmer 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 Hannah L. Filmer. Hannah L. Filmer 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.
Ballard, Timothy, et al.. (2025). The influence of tDCS on the speed-accuracy tradeoff and metacognitive decision making. Neuropsychologia. 211. 109130–109130.
2.
Garner, Kelly, et al.. (2024). Stimulating prefrontal cortex facilitates training transfer by increasing representational overlap. Cerebral Cortex. 34(5). 1 indexed citations
3.
Matthews, Natasha, et al.. (2024). On the lasting impact of mild traumatic brain injury on working memory: Behavioural and electrophysiological evidence. Neuropsychologia. 204. 109005–109005. 4 indexed citations
4.
Leow, Li‐Ann, et al.. (2024). Dopamine Increases Accuracy and Lengthens Deliberation Time in Explicit Motor Skill Learning. eNeuro. 11(1). ENEURO.0360–23.2023. 5 indexed citations
5.
Rideaux, Reuben, Małgorzata Marjańska, Martijn A. Cloos, et al.. (2024). Neurochemical Predictors of Generalized Learning Induced by Brain Stimulation and Training. Journal of Neuroscience. 44(21). e1676232024–e1676232024. 3 indexed citations
6.
Leow, Li‐Ann, et al.. (2023). Failure of tDCS to impact militarised threat-detection in a military cohort. Imaging Neuroscience. 1. 1 indexed citations
7.
Filmer, Hannah L., Timothy Ballard, Thomas B. Shaw, et al.. (2023). Individual Differences in Decision Strategy Relate to Neurochemical Excitability and Cortical Thickness. Journal of Neuroscience. 43(42). 7006–7015. 4 indexed citations
8.
Leow, Li‐Ann, E. B. Nielsen, David K. Sewell, et al.. (2023). Dopamine Alters the Effect of Brain Stimulation on Decision-Making. Journal of Neuroscience. 43(41). 6909–6919. 5 indexed citations
9.
Rideaux, Reuben, Hannah L. Filmer, Jin Jin, et al.. (2022). On the relationship between GABA+ and glutamate across the brain. NeuroImage. 257. 119273–119273. 16 indexed citations
10.
Dux, Paul E., et al.. (2022). Intervention is a better predictor of tDCS mind-wandering effects than subjective beliefs about experimental results. Scientific Reports. 12(1). 13110–13110. 4 indexed citations
11.
Filmer, Hannah L., et al.. (2020). Stimulating task unrelated thoughts: tDCS of prefrontal and parietal cortices leads to polarity specific increases in mind wandering. Neuropsychologia. 151. 107723–107723. 14 indexed citations
12.
Filmer, Hannah L., et al.. (2019). Causal evidence of right temporal parietal junction involvement in implicit Theory of Mind processing. NeuroImage. 196. 329–336. 22 indexed citations
13.
Filmer, Hannah L., et al.. (2019). The efficacy of transcranial direct current stimulation to prefrontal areas is related to underlying cortical morphology. NeuroImage. 196. 41–48. 52 indexed citations
14.
Filmer, Hannah L., et al.. (2019). Accounting for individual differences in the response to tDCS with baseline levels of neurochemical excitability. Cortex. 115. 324–334. 61 indexed citations
15.
Filmer, Hannah L., et al.. (2017). Combining cognitive training and transcranial direct current stimulation in older adults. OSF Preprints (OSF Preprints). 1 indexed citations
16.
Filmer, Hannah L., et al.. (2017). The role of executive attention in object substitution masking. Attention Perception & Psychophysics. 79(4). 1070–1077. 4 indexed citations
17.
Filmer, Hannah L., et al.. (2017). Anodal tDCS applied during multitasking training leads to transferable performance gains. Scientific Reports. 7(1). 12988–12988. 41 indexed citations
18.
Filmer, Hannah L., Paul E. Dux, & Jason B. Mattingley. (2014). Applications of transcranial direct current stimulation for understanding brain function. Trends in Neurosciences. 37(12). 742–753. 347 indexed citations
19.
Filmer, Hannah L., Jason B. Mattingley, & Paul E. Dux. (2014). Size (mostly) doesn’t matter: the role of set size in object substitution masking. Attention Perception & Psychophysics. 76(6). 1620–1629. 23 indexed citations
20.
Filmer, Hannah L., Jason B. Mattingley, & Paul E. Dux. (2014). Object substitution masking for an attended and foveated target.. Journal of Experimental Psychology Human Perception & Performance. 41(1). 6–10. 21 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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