Andrew C. Heusser

809 total citations
16 papers, 432 citations indexed

About

Andrew C. Heusser is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Andrew C. Heusser has authored 16 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 4 papers in Developmental and Educational Psychology and 3 papers in Artificial Intelligence. Recurrent topics in Andrew C. Heusser's work include Memory Processes and Influences (6 papers), Memory and Neural Mechanisms (6 papers) and Neural dynamics and brain function (2 papers). Andrew C. Heusser is often cited by papers focused on Memory Processes and Influences (6 papers), Memory and Neural Mechanisms (6 papers) and Neural dynamics and brain function (2 papers). Andrew C. Heusser collaborates with scholars based in United States, Italy and United Kingdom. Andrew C. Heusser's co-authors include Lila Davachi, Youssef Ezzyat, David Poeppel, Jeremy R. Manning, Scott H. Kollins, Ann Childress, J. Gary Lutz, Katherine W. Scangos, Patrick M. Daly and Michael R. Meager and has published in prestigious journals such as Nature Neuroscience, Cerebral Cortex and Neuropsychologia.

In The Last Decade

Andrew C. Heusser

16 papers receiving 423 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 C. Heusser United States 9 341 76 52 38 37 16 432
Rei Akaishi Japan 10 440 1.3× 37 0.5× 32 0.6× 63 1.7× 27 0.7× 16 553
Rupa Gupta United States 7 233 0.7× 49 0.6× 58 1.1× 79 2.1× 42 1.1× 10 339
Melissa Hebscher Canada 8 383 1.1× 56 0.7× 80 1.5× 63 1.7× 32 0.9× 11 436
Kaori Miyawaki Japan 9 443 1.3× 36 0.5× 78 1.5× 112 2.9× 26 0.7× 9 524
Panagiota Theodoni United States 5 340 1.0× 60 0.8× 35 0.7× 67 1.8× 27 0.7× 7 441
Katherine A. Cameron United States 7 445 1.3× 82 1.1× 98 1.9× 78 2.1× 33 0.9× 7 550
Martijn J. Mulder Netherlands 10 501 1.5× 48 0.6× 34 0.7× 75 2.0× 64 1.7× 12 674
Daniela Czernochowski Germany 13 417 1.2× 30 0.4× 77 1.5× 140 3.7× 42 1.1× 31 485
Debbie Yee United States 9 249 0.7× 20 0.3× 45 0.9× 72 1.9× 21 0.6× 15 353
Hans-Jochen Heinze Germany 7 371 1.1× 74 1.0× 132 2.5× 114 3.0× 26 0.7× 7 440

Countries citing papers authored by Andrew C. Heusser

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. Heusser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew C. Heusser

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

All Works

16 of 16 papers shown
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Heusser, Andrew C., et al.. (2023). Leveraging machine learning to examine engagement with a digital therapeutic. Frontiers in Digital Health. 5. 1063165–1063165. 3 indexed citations
4.
Heusser, Andrew C., et al.. (2021). Geometric models reveal behavioural and neural signatures of transforming experiences into memories. Nature Human Behaviour. 5(7). 905–919. 26 indexed citations
5.
Kollins, Scott H., Ann Childress, Andrew C. Heusser, & J. Gary Lutz. (2021). Effectiveness of a digital therapeutic as adjunct to treatment with medication in pediatric ADHD. npj Digital Medicine. 4(1). 58–58. 52 indexed citations
6.
Heusser, Andrew C., et al.. (2020). A Gaussian Process Model of Human Electrocorticographic Data. Cerebral Cortex. 30(10). 5333–5345. 9 indexed citations
7.
Heusser, Andrew C., et al.. (2018). HyperTools: a Python Toolbox for Gaining Geometric Insights into High-Dimensional Data. Journal of Machine Learning Research. 18(152). 1–6. 11 indexed citations
8.
Heusser, Andrew C., Arielle Tambini, Chris B. Martin, et al.. (2018). Understanding perirhinal contributions to perception and memory: Evidence through the lens of selective perirhinal damage. Neuropsychologia. 124. 9–18. 14 indexed citations
9.
Heusser, Andrew C., et al.. (2018). Perceptual boundaries cause mnemonic trade-offs between local boundary processing and across-trial associative binding.. Journal of Experimental Psychology Learning Memory and Cognition. 44(7). 1075–1090. 81 indexed citations
10.
Heusser, Andrew C. & Jeremy R. Manning. (2018). Capturing the geometric structure of episodic memories for naturalistic experiences. 1 indexed citations
11.
Heusser, Andrew C., et al.. (2018). Is automatic speech-to-text transcription ready for use in psychological experiments?. Behavior Research Methods. 50(6). 2597–2605. 19 indexed citations
12.
Heusser, Andrew C., et al.. (2017). Quail: A Python toolbox for analyzing free recall experiments and plotting the results. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Heusser, Andrew C., et al.. (2017). Quail: A Python toolbox for analyzing and plotting free recall data. The Journal of Open Source Software. 2(18). 424–424. 3 indexed citations
14.
Heusser, Andrew C., David Poeppel, Youssef Ezzyat, & Lila Davachi. (2016). Episodic sequence memory is supported by a theta–gamma phase code. Nature Neuroscience. 19(10). 1374–1380. 185 indexed citations
15.
Heusser, Andrew C., et al.. (2013). The ups and downs of repetition: Modulation of the perirhinal cortex by conceptual repetition predicts priming and long-term memory. Neuropsychologia. 51(12). 2333–2343. 20 indexed citations
16.
Pietz, J., et al.. (1990). EEG development in early treated PKU patients from birth to 6 years of age. European Journal of Pediatrics. 149(S1). 28–33. 3 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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