Daniel S. Rizzuto

4.2k total citations · 1 hit paper
27 papers, 2.1k citations indexed

About

Daniel S. Rizzuto is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Daniel S. Rizzuto has authored 27 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Daniel S. Rizzuto's work include Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (14 papers) and Memory and Neural Mechanisms (10 papers). Daniel S. Rizzuto is often cited by papers focused on Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (14 papers) and Memory and Neural Mechanisms (10 papers). Daniel S. Rizzuto collaborates with scholars based in United States, Czechia and Poland. Daniel S. Rizzuto's co-authors include Michael J. Kahana, Joseph R. Madsen, Sridhar Raghavachari, Jeremy B. Caplan, Matthew P. Kirschen, Blaise F. D. Bourgeois, John Lisman, Joel M. Stein, Michael R. Sperling and Bradley Lega and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Daniel S. Rizzuto

27 papers receiving 2.0k 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.

Gating of Human Theta Oscillations by a Working Memory Task

2001 591 citations Michael J. Kahana, Daniel S. Rizzuto et al. Journal of Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S. Rizzuto United States	21	1.8k	723	148	114	110	27	2.1k
Andrew J. Watrous United States	20	1.8k 1.0×	781 1.1×	121 0.8×	101 0.9×	104 0.9×	28	2.0k
Jonathan Miller United States	18	1.4k 0.8×	614 0.8×	97 0.7×	70 0.6×	86 0.8×	24	1.6k
Mikael Lundqvist Sweden	21	2.4k 1.3×	797 1.1×	93 0.6×	55 0.5×	94 0.9×	38	2.7k
Dora Hermes United States	26	2.4k 1.3×	767 1.1×	135 0.9×	105 0.9×	71 0.6×	66	2.6k
Andrea Brovelli France	22	2.2k 1.2×	521 0.7×	150 1.0×	130 1.1×	124 1.1×	40	2.6k
Yuri B. Saalmann United States	22	2.6k 1.5×	781 1.1×	164 1.1×	146 1.3×	107 1.0×	39	3.1k
Thomas Donoghue United States	11	1.5k 0.8×	441 0.6×	133 0.9×	112 1.0×	67 0.6×	26	1.8k
Julien Vezoli France	14	2.5k 1.4×	711 1.0×	102 0.7×	61 0.5×	66 0.6×	22	2.7k
Brett L. Foster United States	28	2.1k 1.2×	568 0.8×	99 0.7×	167 1.5×	59 0.5×	53	2.5k
SS Nagarajan United States	4	1.8k 1.0×	749 1.0×	83 0.6×	138 1.2×	95 0.9×	6	2.0k

Countries citing papers authored by Daniel S. Rizzuto

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Rizzuto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Rizzuto

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

All Works

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20 of 20 papers shown

Solomon, Ethan A., Michael R. Sperling, Ashwini Sharan, et al.. (2021). Theta-burst stimulation entrains frequency-specific oscillatory responses. Brain stimulation. 14(5). 1271–1284. 31 indexed citations

Watrous, Andrew J., Jonathan Miller, Bradley Lega, et al.. (2020). The effects of direct brain stimulation in humans depend on frequency, amplitude, and white-matter proximity. Brain stimulation. 13(5). 1183–1195. 70 indexed citations

Solomon, Ethan A., Joel M. Stein, Sandhitsu R. Das, et al.. (2019). Dynamic Theta Networks in the Human Medial Temporal Lobe Support Episodic Memory. Current Biology. 29(7). 1100–1111.e4. 67 indexed citations

Kucewicz, Michał T., Brent Berry, Václav Křemen, et al.. (2018). Electrical Stimulation Modulates High γ Activity and Human Memory Performance. eNeuro. 5(1). ENEURO.0369–17.2018. 100 indexed citations

Lee, Sang Ah, Jonathan Miller, Andrew J. Watrous, et al.. (2018). Electrophysiological Signatures of Spatial Boundaries in the Human Subiculum. Journal of Neuroscience. 38(13). 3265–3272. 48 indexed citations

Solomon, Ethan A., James E. Kragel, Robert E. Gross, et al.. (2018). Medial temporal lobe functional connectivity predicts stimulation-induced theta power. Nature Communications. 9(1). 4437–4437. 43 indexed citations

Weidemann, Christoph T., James E. Kragel, Bradley Lega, et al.. (2018). Neural activity reveals interactions between episodic and semantic memory systems during retrieval.. Journal of Experimental Psychology General. 148(1). 1–12. 47 indexed citations

Rugg, Michael D., Sandhitsu R. Das, Joel M. Stein, et al.. (2017). Theta band power increases in the posterior hippocampus predict successful episodic memory encoding in humans. Hippocampus. 27(10). 1040–1053. 72 indexed citations

Solomon, Ethan A., James E. Kragel, Michael R. Sperling, et al.. (2017). Widespread theta synchrony and high-frequency desynchronization underlies enhanced cognition. Nature Communications. 8(1). 1704–1704. 139 indexed citations

10.

Ramayya, Ashwin G., Isaac Pedisich, Deborah F. Levy, et al.. (2017). Proximity of Substantia Nigra Microstimulation to Putative GABAergic Neurons Predicts Modulation of Human Reinforcement Learning. Frontiers in Human Neuroscience. 11. 200–200. 6 indexed citations

11.

Kucewicz, Michał T., Brent Berry, Václav Křemen, et al.. (2017). Dissecting gamma frequency activity during human memory processing. Brain. 140(5). 1337–1350. 66 indexed citations

12.

Kragel, James E., Youssef Ezzyat, Michael R. Sperling, et al.. (2017). Similar patterns of neural activity predict memory function during encoding and retrieval. NeuroImage. 155. 60–71. 43 indexed citations

13.

Jacobs, Joshua, Jonathan Miller, Sang Ah Lee, et al.. (2016). Direct Electrical Stimulation of the Human Entorhinal Region and Hippocampus Impairs Memory. Neuron. 92(5). 983–990. 142 indexed citations

14.

Das, Koel, Daniel S. Rizzuto, & Zoran Nenadić. (2009). Mental State Estimation for Brain--Computer Interfaces. IEEE Transactions on Biomedical Engineering. 56(8). 2114–2122. 12 indexed citations

15.

Davis, Oliver, Aaron S. Geller, Daniel S. Rizzuto, & Michael J. Kahana. (2008). Temporal associative processes revealed by intrusions in paired-associate recall. Psychonomic Bulletin & Review. 15(1). 64–69. 26 indexed citations

16.

Rizzuto, Daniel S., Joseph R. Madsen, Edward B Bromfield, Andreas Schulze‐Bonhage, & Michael J. Kahana. (2006). Human neocortical oscillations exhibit theta phase differences between encoding and retrieval. NeuroImage. 31(3). 1352–1358. 99 indexed citations

17.

Rizzuto, Daniel S., Adam N. Mamelak, William W. Sutherling, Igor Fineman, & Richard A. Andersen. (2005). Spatial selectivity in human ventrolateral prefrontal cortex. Nature Neuroscience. 8(4). 415–417. 36 indexed citations

18.

Kahana, Michael J., et al.. (2005). Theoretical Correlations and Measured Correlations: Relating Recognition and Recall in Four Distributed Memory Models.. Journal of Experimental Psychology Learning Memory and Cognition. 31(5). 933–953. 42 indexed citations

19.

Rizzuto, Daniel S. & Michael J. Kahana. (2001). An Autoassociative Neural Network Model of Paired-Associate Learning. Neural Computation. 13(9). 2075–2092. 58 indexed citations

20.

Rizzuto, Daniel S. & Michael J. Kahana. (2000). Associative symmetry vs. independent associations. Neurocomputing. 32-33. 973–978. 13 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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