Matthew F. Panichello

822 total citations · 1 hit paper
10 papers, 399 citations indexed

About

Matthew F. Panichello is a scholar working on Cognitive Neuroscience, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew F. Panichello has authored 10 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 2 papers in Social Psychology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Matthew F. Panichello's work include Neural dynamics and brain function (7 papers), Neural and Behavioral Psychology Studies (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Matthew F. Panichello is often cited by papers focused on Neural dynamics and brain function (7 papers), Neural and Behavioral Psychology Studies (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Matthew F. Panichello collaborates with scholars based in United States, Germany and Israel. Matthew F. Panichello's co-authors include Timothy J. Buschman, Moshe Bar, Olivia S. Cheung, Jonathan W. Pillow, Brian DePasquale, Ying Cai, Bradley R. Postle, Qing Yu, Maximilien Chaumon and Lisa Feldman Barrett and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Matthew F. Panichello

9 papers receiving 394 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Shared mechanisms underlie the control of working memory and attention

2021 205 citations Matthew F. Panichello, Timothy J. Buschman Nature profile →

Peers

Matthew F. Panichello

CN

ECP

SP

CMN

AI

Son Preminger Israel

Giulia Ricci Italy

Michael J. Wolff Netherlands

Niels Trusbak Haumann Denmark

Tessa Rusch Germany

Ruben S. van Bergen Netherlands

Idan Tal Israel

Eren Günseli Netherlands

Tim van Mourik Netherlands

Jocelyn L. Sy United States

Son Preminger Israel

Matthew F. Panichello

318 ×0.9

CN

84 ×1.4

ECP

43 ×0.9

SP

31 ×1.2

CMN

25 ×1.0

AI

Citations per year, relative to Matthew F. Panichello Matthew F. Panichello (= 1×) peers Son Preminger

Countries citing papers authored by Matthew F. Panichello

Since Specialization

Citations

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

Fields of papers citing papers by Matthew F. Panichello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew F. Panichello. 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 Matthew F. Panichello. The network helps show where Matthew F. Panichello may publish in the future.

Co-authorship network of co-authors of Matthew F. Panichello

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Panichello, Matthew F., et al.. (2026). A System for Live Sorting of Neuronal Spiking Activity from Large-scale Recordings. bioRxiv (Cold Spring Harbor Laboratory).

2.

Panichello, Matthew F., et al.. (2024). Intermittent rate coding and cue-specific ensembles support working memory. Nature. 636(8042). 422–429. 4 indexed citations

3.

Panichello, Matthew F., et al.. (2024). The neural basis of swap errors in working memory. Proceedings of the National Academy of Sciences. 121(33). e2401032121–e2401032121. 2 indexed citations

4.

Panichello, Matthew F., et al.. (2023). Corvids optimize working memory by categorizing continuous stimuli. Communications Biology. 6(1). 1122–1122. 3 indexed citations

5.

Panichello, Matthew F. & Timothy J. Buschman. (2021). Shared mechanisms underlie the control of working memory and attention. Nature. 592(7855). 601–605. 205 indexed citations breakdown →

6.

Yu, Qing, Matthew F. Panichello, Ying Cai, Bradley R. Postle, & Timothy J. Buschman. (2020). Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory. PLoS Biology. 18(9). e3000854–e3000854. 16 indexed citations

7.

Panichello, Matthew F., Brian DePasquale, Jonathan W. Pillow, & Timothy J. Buschman. (2019). Error-correcting dynamics in visual working memory. Nature Communications. 10(1). 3366–3366. 69 indexed citations

8.

Panichello, Matthew F., Kestutis Kveraga, Maximilien Chaumon, Moshe Bar, & Lisa Feldman Barrett. (2017). Internal valence modulates the speed of object recognition. Scientific Reports. 7(1). 361–361. 8 indexed citations

9.

Panichello, Matthew F., Olivia S. Cheung, & Moshe Bar. (2013). Predictive Feedback and Conscious Visual Experience. Frontiers in Psychology. 3. 620–620. 91 indexed citations

10.

Cheung, Olivia S., Sylvain Gagnon, Matthew F. Panichello, & Moshe Bar. (2012). Dissociating contextual and semantic priming in object recognition. Journal of Vision. 12(9). 813–813. 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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