World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
70
Citations
18365
World Ranking
2277
National Ranking
1323

Neuroscience

D-Index
70
Citations
18520
World Ranking
2503
National Ranking
1188

Lila Davachi publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Lila Davachi sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 142 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Lila Davachi D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Lila Davachi sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 70 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Overview

Lila Davachi is affiliated with Columbia University in the United States and works primarily in the field of Neuroscience. Their research focuses on cognitive neuroscience with a significant emphasis on memory and neural mechanisms. The subfields of study in which the scientist has contributed include Cognitive Neuroscience, Cellular and Molecular Neuroscience, Developmental and Educational Psychology, Behavioral Neuroscience, and Experimental and Cognitive Psychology.

The main topics addressed in their work include:

  • Memory and Neural Mechanisms
  • Neuroscience and Neuropharmacology Research
  • Memory Processes and Influences
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Stress Responses and Cortisol
  • Sleep and Wakefulness Research

The scientist's recent publications illustrate a broad engagement with memory and its neural underpinnings. Notable papers include:

  • "Pupil-linked arousal signals track the temporal organization of events in memory," 2020, published in Nature Communications
  • "The Future of Women in Psychological Science," 2020, published in Perspectives on Psychological Science
  • "Mnemonic prediction errors bias hippocampal states," 2020, published in Nature Communications
  • "Sleep Spindles Promote the Restructuring of Memory Representations in Ventromedial Prefrontal Cortex through Enhanced Hippocampal-Cortical Functional Connectivity," 2020, published in Journal of Neuroscience
  • "Neurophysiology of Remembering," 2021, published in Annual Review of Psychology

Frequent collaborators in their research include Camille Gasser, Oded Bein, David Clewett, Elizabeth A. Phelps, and Alexa Tompary.

The venues in which their research has most often appeared are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neuroscience
  • Nature Communications
  • Trends in Cognitive Sciences
  • Learning & Memory

Best Publications

  • Item, context and relational episodic encoding in humans

    Lila Davachi

  • Multiple routes to memory: Distinct medial temporal lobe processes build item and source memories

    Lila Davachi;Jason P. Mitchell;Anthony D. Wagner;Anthony D. Wagner

  • Enhanced Brain Correlations during Rest Are Related to Memory for Recent Experiences

    Arielle Tambini;Nicholas Ketz;Lila Davachi;Lila Davachi

  • Hippocampal Contributions to Episodic Encoding: Insights From Relational and Item-Based Learning

    Lila Davachi;Anthony D. Wagner

  • Functional-neuroanatomic correlates of recollection: implications for models of recognition memory.

    Itamar Kahn;Lila Davachi;Anthony D. Wagner

  • Enhanced intersubject correlations during movie viewing correlate with successful episodic encoding.

    Uri Hasson;Orit Furman;Dav Clark;Yadin Dudai

  • Emotional learning selectively and retroactively strengthens memories for related events

    Joseph E. Dunsmoor;Vishnu P. Murty;Lila Davachi;Elizabeth A. Phelps

  • Similarity breeds proximity: pattern similarity within and across contexts is related to later mnemonic judgments of temporal proximity.

    Youssef Ezzyat;Lila Davachi;Lila Davachi

  • What Constitutes an Episode in Episodic Memory

    Youssef Ezzyat;Lila Davachi

  • Memory and Space: Towards an Understanding of the Cognitive Map.

    Daniela Schiller;Howard Eichenbaum;Elizabeth A. Buffalo;Lila Davachi

  • Differential Encoding Mechanisms for Subsequent Associative Recognition and Free Recall

    Bernhard P. Staresina;Lila Davachi

  • How the hippocampus preserves order: the role of prediction and context

    Lila Davachi;Sarah DuBrow

  • Mind the Gap: Binding Experiences across Space and Time in the Human Hippocampus

    Bernhard P. Staresina;Lila Davachi;Lila Davachi

  • Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Subregions in In Vivo MRI: Towards a Harmonized Segmentation Protocol

    Paul A. Yushkevich;Robert S C Amaral;Jean C. Augustinack;Andrew R. Bender

  • Episodic sequence memory is supported by a theta–gamma phase code

    Andrew C Heusser;David Poeppel;Youssef Ezzyat;Lila Davachi;Lila Davachi

  • Evidence for area CA1 as a match/mismatch detector: A high‐resolution fMRI study of the human hippocampus

    Katherine Duncan;Nicholas Ketz;Nicholas Ketz;Souheil J. Inati;Lila Davachi;Lila Davachi

  • Differential Activation of the Caudate Nucleus in Primates Performing Spatial and Nonspatial Working Memory Tasks

    Richard Levy;Harriet R. Friedman;Lila Davachi;Patricia S. Goldman-Rakic

  • The influence of context boundaries on memory for the sequential order of events

    Sarah DuBrow;Lila Davachi

  • Selective and shared contributions of the hippocampus and perirhinal cortex to episodic item and associative encoding.

    Bernhard P. Staresina;Lila Davachi

  • Perirhinal and Parahippocampal Cortices Differentially Contribute to Later Recollection of Object- and Scene-Related Event Details

    Bernhard P. Staresina;Katherine D. Duncan;Lila Davachi

Frequent Co-Authors

Elizabeth A. Phelps
Elizabeth A. Phelps Harvard University
Orrin Devinsky
Orrin Devinsky New York University
Bernhard P. Staresina
Bernhard P. Staresina University of Birmingham
Anthony D. Wagner
Anthony D. Wagner Stanford University
Werner Doyle
Werner Doyle New York University
Lucia Melloni
Lucia Melloni Max Planck Society
Joseph E. Dunsmoor
Joseph E. Dunsmoor The University of Texas at Austin
Daniel Friedman
Daniel Friedman Indiana University
Brian McElree
Brian McElree New York University

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