Matthew E. Sachs

1.6k total citations
24 papers, 854 citations indexed

About

Matthew E. Sachs is a scholar working on Cognitive Neuroscience, Social Psychology and Music. According to data from OpenAlex, Matthew E. Sachs has authored 24 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 12 papers in Social Psychology and 4 papers in Music. Recurrent topics in Matthew E. Sachs's work include Neuroscience and Music Perception (17 papers), Music Therapy and Health (7 papers) and Neural dynamics and brain function (6 papers). Matthew E. Sachs is often cited by papers focused on Neuroscience and Music Perception (17 papers), Music Therapy and Health (7 papers) and Neural dynamics and brain function (6 papers). Matthew E. Sachs collaborates with scholars based in United States, Australia and Canada. Matthew E. Sachs's co-authors include Assal Habibi, António R. Damásio, Jonas Kaplan, David B. Newman, Psyche Loui, Beatriz Ilari, Arthur A. Stone, Norbert Schwarz, Robert J. Ellis and Gottfried Schlaug and has published in prestigious journals such as Journal of Personality and Social Psychology, Nature Communications and PLoS ONE.

In The Last Decade

Matthew E. Sachs

23 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew E. Sachs United States 13 572 404 185 168 66 24 854
Steven J. Holochwost United States 16 148 0.3× 187 0.5× 95 0.5× 79 0.5× 19 0.3× 57 831
David Williamson Canada 10 174 0.3× 86 0.2× 50 0.3× 47 0.3× 9 0.1× 17 485
Jane W. Cassidy United States 16 279 0.5× 151 0.4× 56 0.3× 412 2.5× 9 0.1× 32 688
Beatriz Ilari United States 20 687 1.2× 328 0.8× 78 0.4× 552 3.3× 2 0.0× 58 1.1k
Giulia Poerio United Kingdom 17 992 1.7× 196 0.5× 637 3.4× 7 0.0× 9 0.1× 42 1.3k
Ruth Ogden United Kingdom 15 441 0.8× 164 0.4× 322 1.7× 43 0.3× 2 0.0× 48 718
David A. Kipper Israel 14 121 0.2× 297 0.7× 99 0.5× 43 0.3× 10 0.2× 47 698
Anne-Laure Gilet France 10 262 0.5× 249 0.6× 224 1.2× 11 0.1× 6 0.1× 18 610
Nathalie Mella Switzerland 13 422 0.7× 177 0.4× 314 1.7× 22 0.1× 4 0.1× 21 749
Judith W. Rhue United States 17 893 1.6× 315 0.8× 252 1.4× 8 0.0× 14 0.2× 30 1.5k

Countries citing papers authored by Matthew E. Sachs

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Sachs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew E. Sachs

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew E. Sachs. A scholar is included among the top collaborators of Matthew E. Sachs 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 E. Sachs. Matthew E. Sachs 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.
Sachs, Matthew E., Marek Kozák, Kevin N. Ochsner, & Christopher Baldassano. (2025). Emotions in the Brain Are Dynamic and Contextually Dependent: Using Music to Measure Affective Transitions. eNeuro. 12(7). ENEURO.0184–24.2025.
2.
Newman, David B., et al.. (2024). Unlocking the bitter potential of nostalgia: Covariation between and causal effects of nostalgia on envy.. Journal of Personality and Social Psychology. 128(2). 438–455. 2 indexed citations
3.
Sachs, Matthew E., et al.. (2023). Dynamic emotional states shape the episodic structure of memory. Nature Communications. 14(1). 21 indexed citations
4.
Sachs, Matthew E., et al.. (2023). Generating New Musical Preferences From Multilevel Mapping of Predictions to Reward. Psychological Science. 35(1). 34–54. 11 indexed citations
5.
Newman, David B. & Matthew E. Sachs. (2022). Variation in bittersweet nostalgic feelings and their divergent effects on daily well-being.. Emotion. 23(4). 937–948. 8 indexed citations
6.
Sachs, Matthew E., et al.. (2021). Music and mood regulation during the early stages of the COVID-19 pandemic. PLoS ONE. 16(10). e0258027–e0258027. 33 indexed citations
7.
Newman, David B. & Matthew E. Sachs. (2020). The Negative Interactive Effects of Nostalgia and Loneliness on Affect in Daily Life. Frontiers in Psychology. 11. 2185–2185. 23 indexed citations
8.
Sachs, Matthew E., António R. Damásio, & Assal Habibi. (2020). Unique personality profiles predict when and why sad music is enjoyed. Psychology of Music. 49(5). 1145–1164. 10 indexed citations
9.
Sachs, Matthew E., Jonas Kaplan, & Assal Habibi. (2019). Echoing the emotions of others: empathy is related to how adults and children map emotion onto the body. Cognition & Emotion. 33(8). 1639–1654. 10 indexed citations
10.
Sachs, Matthew E., et al.. (2019). Effects of Music Training on Inhibitory Control and Associated Neural Networks in School-Aged Children: A Longitudinal Study. Frontiers in Neuroscience. 13. 1080–1080. 47 indexed citations
11.
Sachs, Matthew E., Assal Habibi, António R. Damásio, & Jonas Kaplan. (2019). Dynamic intersubject neural synchronization reflects affective responses to sad music. NeuroImage. 218. 116512–116512. 44 indexed citations
12.
Newman, David B., Matthew E. Sachs, Arthur A. Stone, & Norbert Schwarz. (2019). Nostalgia and well-being in daily life: An ecological validity perspective.. Journal of Personality and Social Psychology. 118(2). 325–347. 107 indexed citations
13.
Sachs, Matthew E., et al.. (2019). Predicting Human-Reported Enjoyment Responses in Happy and Sad Music. 607–613. 5 indexed citations
14.
Sachs, Matthew E., et al.. (2019). A Multimodal View into Music's Effect on Human Neural, Physiological, and Emotional Experience. 167–175. 11 indexed citations
15.
Sachs, Matthew E., Assal Habibi, & Hanna Damásio. (2018). Reflections on music, affect, and sociality. Progress in brain research. 237. 153–172. 9 indexed citations
16.
Sachs, Matthew E., Assal Habibi, António R. Damásio, & Jonas Kaplan. (2018). Decoding the neural signatures of emotions expressed through sound. NeuroImage. 174. 1–10. 32 indexed citations
17.
Sachs, Matthew E., et al.. (2017). Increased engagement of the cognitive control network associated with music training in children during an fMRI Stroop task. PLoS ONE. 12(10). e0187254–e0187254. 73 indexed citations
18.
Loui, Psyche, et al.. (2017). White Matter Correlates of Musical Anhedonia: Implications for Evolution of Music. Frontiers in Psychology. 8. 1664–1664. 43 indexed citations
19.
Gimbel, Sarah I., et al.. (2016). Associations between Family Adversity and Brain Volume in Adolescence: Manual vs. Automated Brain Segmentation Yields Different Results. Frontiers in Neuroscience. 10. 398–398. 11 indexed citations
20.
Sachs, Matthew E., António R. Damásio, & Assal Habibi. (2015). The pleasures of sad music: a systematic review. Frontiers in Human Neuroscience. 9. 404–404. 154 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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