Daniel P. Darcy

1.5k total citations · 1 hit paper
7 papers, 964 citations indexed

About

Daniel P. Darcy is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel P. Darcy has authored 7 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Developmental Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel P. Darcy's work include EEG and Brain-Computer Interfaces (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Olfactory and Sensory Function Studies (2 papers). Daniel P. Darcy is often cited by papers focused on EEG and Brain-Computer Interfaces (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Olfactory and Sensory Function Studies (2 papers). Daniel P. Darcy collaborates with scholars based in United States, Australia and Norway. Daniel P. Darcy's co-authors include Michael P. Stryker, J. Sebastian Espinosa, Jason Tucciarone, Nengyin Sheng, Roger A. Nicoll, Yu Fu, Z. Josh Huang, Jeffry S. Isaacson, Gabe J. Murphy and Grant H. Mulliken and has published in prestigious journals such as Cell, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Daniel P. Darcy

7 papers receiving 955 citations

Hit Papers

A Cortical Circuit for Gain Control by Behavioral State 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Darcy United States 6 628 587 199 158 78 7 964
Shreesh P. Mysore United States 20 461 0.7× 589 1.0× 167 0.8× 312 2.0× 46 0.6× 33 1.1k
Emmanouil Froudarakis United States 14 603 1.0× 882 1.5× 142 0.7× 174 1.1× 26 0.3× 22 1.2k
David B. T. McMahon United States 13 250 0.4× 438 0.7× 66 0.3× 101 0.6× 50 0.6× 16 636
Sue Ann Koay United States 10 618 1.0× 760 1.3× 76 0.4× 213 1.3× 24 0.3× 13 1.2k
Larry A. Palmer United States 16 864 1.4× 1.3k 2.2× 87 0.4× 334 2.1× 21 0.3× 23 1.5k
Ning-long Xu China 14 986 1.6× 1.1k 1.9× 113 0.6× 180 1.1× 22 0.3× 22 1.4k
Satoshi Eifuku Japan 19 367 0.6× 975 1.7× 117 0.6× 94 0.6× 24 0.3× 46 1.2k
Deda C. Gillespie United States 17 996 1.6× 1.1k 1.8× 204 1.0× 455 2.9× 63 0.8× 20 1.6k
Ya-tang Li United States 15 896 1.4× 1.1k 1.9× 154 0.8× 191 1.2× 43 0.6× 30 1.3k
Norimitsu Suzuki Australia 13 926 1.5× 348 0.6× 461 2.3× 281 1.8× 206 2.6× 16 1.1k

Countries citing papers authored by Daniel P. Darcy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Darcy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. Darcy

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

All Works

7 of 7 papers shown
1.
Purnhagen, Heiko, et al.. (2019). Immersive Audio Coding for Virtual Reality Using a Metadata-assisted Extension of the 3GPP EVS Codec. 730–734. 4 indexed citations
2.
Engelke, Ulrich, Daniel P. Darcy, Grant H. Mulliken, et al.. (2016). Psychophysiology-Based QoE Assessment: A Survey. IEEE Journal of Selected Topics in Signal Processing. 11(1). 6–21. 96 indexed citations
3.
Fu, Yu, Jason Tucciarone, J. Sebastian Espinosa, et al.. (2014). A Cortical Circuit for Gain Control by Behavioral State. Cell. 156(6). 1139–1152. 625 indexed citations breakdown →
4.
Nguyen, Vien, Daniel P. Darcy, Jianhua Cang, et al.. (2010). Neonatal Cerebral Hypoxia–Ischemia Impairs Plasticity in Rat Visual Cortex. Journal of Neuroscience. 30(1). 81–92. 53 indexed citations
5.
Darcy, Daniel P. & Jeffry S. Isaacson. (2010). Calcium-Permeable AMPA Receptors Mediate Glutamatergic Signaling in Neural Precursor Cells of the Postnatal Olfactory Bulb. Journal of Neurophysiology. 103(3). 1431–1437. 5 indexed citations
6.
Darcy, Daniel P. & Jeffry S. Isaacson. (2009). L-Type Calcium Channels Govern Calcium Signaling in Migrating Newborn Neurons in the Postnatal Olfactory Bulb. Journal of Neuroscience. 29(8). 2510–2518. 31 indexed citations
7.
Murphy, Gabe J., Daniel P. Darcy, & Jeffry S. Isaacson. (2005). Intraglomerular inhibition: signaling mechanisms of an olfactory microcircuit. Nature Neuroscience. 8(3). 354–364. 150 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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