Scott Rich

515 total citations
13 papers, 186 citations indexed

About

Scott Rich is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Scott Rich has authored 13 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Scott Rich's work include Neural dynamics and brain function (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroscience and Neural Engineering (6 papers). Scott Rich is often cited by papers focused on Neural dynamics and brain function (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroscience and Neural Engineering (6 papers). Scott Rich collaborates with scholars based in Canada, United States and Germany. Scott Rich's co-authors include Taufik A. Valiante, Homeira Moradi Chameh, Jérémie Lefebvre, Michał Żochowski, Victoria Booth, Shreejoy J. Tripathy, Fu‐Der Chen, Lihua Wang, Peter L. Carlen and Axel Hutt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Scott Rich

12 papers receiving 185 citations

Peers

Countries citing papers authored by Scott Rich

Since Specialization

Citations

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

Fields of papers citing papers by Scott Rich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Rich. 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 Scott Rich. The network helps show where Scott Rich may publish in the future.

Co-authorship network of co-authors of Scott Rich

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	H- and m-channel overexpression promotes seizure-like events by impairing the ability of inhibitory neurons to process correlated inputs 2025 ·PLoS Computational Biology ·Scott Rich, Taufik A. Valiante, Jérémie Lefebvre	1
2	Intrinsic neural diversity quenches the dynamic volatility of neural networks 2023 ·Proceedings of the National Academy of Sciences ·Axel Hutt, Scott Rich, Taufik A. Valiante, Jérémie Lefebvre	15
3	Hyperpolarization-Activated Cation Channels Shape the Spiking Frequency Preference of Human Cortical Layer 5 Pyramidal Neurons 2023 ·eNeuro ·(unknown), Homeira Moradi Chameh, Frances K. Skinner, Scott Rich, Taufik A. Valiante	2
4	Distinctive biophysical features of human cell-types: insights from studies of neurosurgically resected brain tissue 2023 ·Frontiers in Synaptic Neuroscience ·Homeira Moradi Chameh, (unknown), (unknown), (unknown), Scott Rich, Liang Zhang, Jérémie Lefebvre, Shreejoy J. Tripathy, Maurizio De Pittà, Taufik A. Valiante	4
5	Loss of neuronal heterogeneity in epileptogenic human tissue impairs network resilience to sudden changes in synchrony 2022 ·Cell Reports ·Scott Rich, Homeira Moradi Chameh, Jérémie Lefebvre, Taufik A. Valiante	34
6	Diversity amongst human cortical pyramidal neurons revealed via their sag currents and frequency preferences 2021 ·Nature Communications ·Homeira Moradi Chameh, Scott Rich, Lihua Wang, Fu‐Der Chen, Liang Zhang, Peter L. Carlen, Shreejoy J. Tripathy, Taufik A. Valiante	52
7	A Hypothesis for Theta Rhythm Frequency Control in CA1 Microcircuits 2021 ·Frontiers in Neural Circuits ·Frances K. Skinner, Scott Rich, (unknown), Jérémie Lefebvre, (unknown)	3
8	Neurostimulation stabilizes spiking neural networks by disrupting seizure-like oscillatory transitions 2020 ·Scientific Reports ·Scott Rich, Axel Hutt, Frances K. Skinner, Taufik A. Valiante, Jérémie Lefebvre	14
9	Inhibitory Network Bistability Explains Increased Interneuronal Activity Prior to Seizure Onset 2020 ·Frontiers in Neural Circuits ·Scott Rich, Homeira Moradi Chameh, (unknown), Katie Ferguson, Frances K. Skinner, Taufik A. Valiante	21
10	Effects of Neuromodulation on Excitatory–Inhibitory Neural Network Dynamics Depend on Network Connectivity Structure 2018 ·Journal of Nonlinear Science ·Scott Rich, Michał Żochowski, Victoria Booth	12
11	Dichotomous Dynamics in E-I Networks with Strongly and Weakly Intra-connected Inhibitory Neurons 2017 ·Frontiers in Neural Circuits ·Scott Rich, Michał Żochowski, Victoria Booth	14
12	Intrinsic Cellular Properties and Connectivity Density Determine Variable Clustering Patterns in Randomly Connected Inhibitory Neural Networks 2016 ·Frontiers in Neural Circuits ·Scott Rich, Victoria Booth, Michał Żochowski	14
13	The role of adaptation current in synchronously firing inhibitory neural networks with various topologies 2015 ·BMC Neuroscience ·Scott Rich, Victoria Booth, Michał Żochowski	0

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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