Daniel L. Schacter

105.5k total citations · 26 hit papers
619 papers, 74.2k citations indexed

About

Daniel L. Schacter is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel L. Schacter has authored 619 papers receiving a total of 74.2k indexed citations (citations by other indexed papers that have themselves been cited), including 480 papers in Cognitive Neuroscience, 154 papers in Developmental and Educational Psychology and 106 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel L. Schacter's work include Memory Processes and Influences (343 papers), Memory and Neural Mechanisms (253 papers) and Neural and Behavioral Psychology Studies (113 papers). Daniel L. Schacter is often cited by papers focused on Memory Processes and Influences (343 papers), Memory and Neural Mechanisms (253 papers) and Neural and Behavioral Psychology Studies (113 papers). Daniel L. Schacter collaborates with scholars based in United States, Canada and New Zealand. Daniel L. Schacter's co-authors include Randy L. Buckner, Donna Rose Addis, Jessica R. Andrews‐Hanna, Endel Tulving, Peter Graf, Elizabeth A. Kensinger, Wilma Koutstaal, Karl K. Szpunar, Anthony D. Wagner and R. Nathan Spreng and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel L. Schacter

610 papers receiving 71.1k citations

Hit Papers

The Brain's Default Network 1982 2026 1996 2011 2008 1987 1990 2007 2006 2.0k 4.0k 6.0k
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.

  1. The Brain's Default Network
    2008 7.4k citations Daniel L. Schacter et al. profile →
  2. Implicit memory: History and current status.
    1987 2.1k citations Daniel L. Schacter profile →
  3. Priming and Human Memory Systems
    1990 1.9k citations Daniel L. Schacter et al. profile →
  4. Remembering the past to imagine the future: the prospective brain
    2007 1.5k citations Daniel L. Schacter et al. profile →
  5. Remembering the past and imagining the future: Common and distinct neural substrates during event construction and elaboration
    2006 1.4k citations Daniel L. Schacter et al. Neuropsychologia profile →
  6. Implicit and explicit memory for new associations in normal and amnesic subjects.
    1985 1.2k citations Daniel L. Schacter et al. profile →
  7. The cognitive neuroscience of constructive memory: remembering the past and imagining the future
    2007 1.2k citations Daniel L. Schacter et al. profile →
  8. Top-down facilitation of visual recognition
    2006 1.1k citations Moshe Bar, K. Kassam et al. Proceedings of the National Academy of Sciences profile →
  9. Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition
    2010 892 citations R. Nathan Spreng, Adrian W. Gilmore et al. profile →
  10. The Future of Memory: Remembering, Imagining, and the Brain
    2012 873 citations Daniel L. Schacter, R. Nathan Spreng et al. profile →
  11. Priming effects in word-fragment completion are independent of recognition memory.
    1982 803 citations Daniel L. Schacter et al. profile →
  12. The seven sins of memory: Insights from psychology and cognitive neuroscience.
    1999 721 citations Daniel L. Schacter profile →
  13. Implicit and explicit memory for new associations in normal and amnesic subjects.
    1985 666 citations Daniel L. Schacter et al. profile →
  14. Creative Cognition and Brain Network Dynamics
    2015 632 citations Roger E. Beaty, Daniel L. Schacter et al. profile →
  15. THE COGNITIVE NEUROSCIENCE OF CONSTRUCTIVE MEMORY
    1998 622 citations Daniel L. Schacter et al. profile →
  16. Episodic Simulation of Future Events
    2008 615 citations Daniel L. Schacter et al. profile →
  17. Priming and the Brain
    1998 605 citations Daniel L. Schacter et al. profile →
  18. The evolution of multiple memory systems.
    1987 602 citations Daniel L. Schacter et al. profile →
  19. Medial temporal lobe activations in fMRI and PET studies of episodic encoding and retrieval
    1999 552 citations Daniel L. Schacter et al. profile →
  20. Unawareness of deficits in neuropsychological syndromes
    1989 520 citations Daniel L. Schacter et al. profile →
  21. Intrinsic Architecture Underlying the Relations among the Default, Dorsal Attention, and Frontoparietal Control Networks of the Human Brain
    2012 508 citations R. Nathan Spreng, Jorge Sepulcre et al. profile →
  22. Implicit Memory: A Selective Review
    1993 507 citations Daniel L. Schacter et al. profile →
  23. Episodic future thinking: mechanisms and functions
    2017 477 citations Daniel L. Schacter et al. profile →
  24. Mind-Wandering as a Natural Kind: A Family-Resemblances View
    2018 248 citations Daniel L. Schacter, David Maillet et al. profile →
  25. Aging in an Era of Fake News
    2020 208 citations Daniel L. Schacter et al. profile →
  26. The role of memory in creative ideation
    2023 88 citations Roger E. Beaty, Daniel L. Schacter et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel L. Schacter 59.2k 15.9k 15.7k 10.8k 7.1k 619 74.2k
Jonathan D. Cohen 63.3k 1.1× 14.6k 0.9× 5.4k 0.3× 11.1k 1.0× 9.2k 1.3× 332 83.2k
Michael I. Posner 51.9k 0.9× 18.6k 1.2× 11.1k 0.7× 9.2k 0.9× 9.4k 1.3× 339 76.1k
John D. E. Gabrieli 42.6k 0.7× 12.2k 0.8× 10.8k 0.7× 6.4k 0.6× 8.0k 1.1× 497 59.2k
António R. Damásio 35.1k 0.6× 12.2k 0.8× 5.7k 0.4× 13.3k 1.2× 8.5k 1.2× 262 58.1k
Alan Baddeley 36.7k 0.6× 15.9k 1.0× 21.0k 1.3× 6.1k 0.6× 7.0k 1.0× 390 60.7k
Raymond J. Dolan 80.7k 1.4× 25.5k 1.6× 5.9k 0.4× 16.7k 1.6× 13.8k 1.9× 829 113.0k
Endel Tulving 36.3k 0.6× 8.7k 0.5× 12.9k 0.8× 7.4k 0.7× 3.5k 0.5× 206 47.4k
Russell A. Poldrack 37.1k 0.6× 8.1k 0.5× 5.6k 0.4× 4.6k 0.4× 5.4k 0.8× 319 49.2k
Chris Frith 87.5k 1.5× 20.6k 1.3× 14.4k 0.9× 27.0k 2.5× 25.6k 3.6× 730 125.1k
Tor D. Wager 37.3k 0.6× 15.4k 1.0× 4.6k 0.3× 7.6k 0.7× 10.0k 1.4× 319 57.6k

Countries citing papers authored by Daniel L. Schacter

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Schacter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel L. Schacter

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Schacter. A scholar is included among the top collaborators of Daniel L. Schacter 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 Daniel L. Schacter. Daniel L. Schacter 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.
Schacter, Daniel L., et al.. (2024). Automated scoring of the autobiographical interview with natural language processing. Behavior Research Methods. 56(3). 2243–2259. 13 indexed citations
2.
Greene, Joshua D., et al.. (2024). The Language of Creativity: Evidence from Humans and Large Language Models. The Journal of Creative Behavior. 58(1). 128–136. 22 indexed citations
3.
Schacter, Daniel L., et al.. (2024). Emotional future simulations: neural and cognitive perspectives. Cerebral Cortex. 35(1). 77–83.
4.
Denis, Dan, et al.. (2024). Sleep and retrieval practice both strengthen and distort story recollection. SLEEP Advances. 5(1). zpae083–zpae083. 1 indexed citations
5.
Setton, Roni, Jordana S. Wynn, & Daniel L. Schacter. (2024). Peering into the future: Eye movements predict neural repetition effects during episodic simulation. Neuropsychologia. 197. 108852–108852. 1 indexed citations
6.
Setton, Roni, Ibai Díez, Elisenda Bueichekú, et al.. (2023). Creativity at rest: Exploring functional network connectivity of creative experts. Network Neuroscience. 7(3). 1022–1033. 5 indexed citations
7.
Hooley, Jill M., et al.. (2023). Grandiose narcissism influences the phenomenology of remembered past and imagined future events. Memory. 32(1). 25–40. 5 indexed citations
8.
Coughlan, Gillian, Ali Golestani, Preston P. Thakral, et al.. (2022). Transcranial magnetic stimulation to the angular gyrus modulates the temporal dynamics of the hippocampus and entorhinal cortex. Cerebral Cortex. 33(6). 3255–3264. 5 indexed citations
9.
Beaty, Roger E., et al.. (2021). Does Episodic Retrieval Contribute to Creative Writing? An Exploratory Study. Creativity Research Journal. 34(2). 145–158. 15 indexed citations
10.
Thakral, Preston P., et al.. (2020). Modulation of hippocampal brain networks produces changes in episodic simulation and divergent thinking. Proceedings of the National Academy of Sciences. 117(23). 12729–12740. 51 indexed citations
11.
Gilmore, Adrian W., et al.. (2020). Dynamic Content Reactivation Supports Naturalistic Autobiographical Recall in Humans. Journal of Neuroscience. 41(1). 153–166. 20 indexed citations
12.
13.
Schacter, Daniel L.. (2018). Implicit Memory, Constructive Memory, and Imagining the Future: A Career Perspective. Perspectives on Psychological Science. 14(2). 256–272. 20 indexed citations
14.
Thakral, Preston P., Kevin P. Madore, & Daniel L. Schacter. (2018). Content-specific phenomenological similarity between episodic memory and simulation. Memory. 27(3). 417–422. 6 indexed citations
15.
Maillet, David & Daniel L. Schacter. (2016). When the mind wanders: Distinguishing stimulus-dependent from stimulus-independent thoughts during incidental encoding in young and older adults.. Psychology and Aging. 31(4). 370–379. 34 indexed citations
16.
Madore, Kevin P., Helen G. Jing, & Daniel L. Schacter. (2016). Divergent creative thinking in young and older adults: Extending the effects of an episodic specificity induction. Memory & Cognition. 44(6). 974–988. 97 indexed citations
17.
Payne, Jessica D., Elizabeth A. Kensinger, Erin J. Wamsley, et al.. (2015). Napping and the selective consolidation of negative aspects of scenes.. Emotion. 15(2). 176–186. 94 indexed citations
18.
Schacter, Daniel L., Elissa Aminoff, & Moshe Bar. (2009). The Cortical Underpinnings of Context-based Memory Distortion. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 40 indexed citations
19.
Bar, Moshe, K. Kassam, Avniel Singh Ghuman, et al.. (2006). Top-down facilitation of visual recognition. Proceedings of the National Academy of Sciences. 103(2). 449–454. 1123 indexed citations breakdown →
20.
Budson, Andrew E., Chad S. Dodson, Kirk R. Daffner, & Daniel L. Schacter. (2005). Metacognition and False Recognition in Alzheimer's Disease: Further Exploration of the Distinctiveness Heuristic.. Neuropsychology. 19(2). 253–258. 39 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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