Daniel R. Young

1.5k total citations · 1 hit paper
13 papers, 858 citations indexed

About

Daniel R. Young is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Education. According to data from OpenAlex, Daniel R. Young has authored 13 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Education. Recurrent topics in Daniel R. Young's work include EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers) and Muscle activation and electromyography studies (4 papers). Daniel R. Young is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers) and Muscle activation and electromyography studies (4 papers). Daniel R. Young collaborates with scholars based in United States and Switzerland. Daniel R. Young's co-authors include Francis S. Bellezza, Francis R. Willett, William D. Memberg, Brian Murphy, Leigh R. Hochberg, Benjamin L. Walter, A. Bolu Ajiboye, Jonathan P. Miller, Robert F. Kirsch and Jennifer A. Sweet and has published in prestigious journals such as The Lancet, Child Development and Scientific Reports.

In The Last Decade

Daniel R. Young

13 papers receiving 834 citations

Hit Papers

Restoration of reaching and grasping movements through br... 2017 2026 2020 2023 2017 100 200 300 400 500
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. Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration
    2017 563 citations A. Bolu Ajiboye, Francis R. Willett et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel R. Young United States 10 576 446 256 131 65 13 858
Anusha Venkatakrishnan United States 14 312 0.5× 120 0.3× 463 1.8× 25 0.2× 64 1.0× 18 812
Roberta Carabalona Italy 15 620 1.1× 394 0.9× 193 0.8× 113 0.9× 93 1.4× 23 1.4k
Kim Adams Canada 14 597 1.0× 322 0.7× 140 0.5× 107 0.8× 5 0.1× 73 1.0k
Andrea Biasiucci Switzerland 7 671 1.2× 297 0.7× 224 0.9× 80 0.6× 8 0.1× 13 822
Mark B. Shapiro United States 12 354 0.6× 39 0.1× 242 0.9× 8 0.1× 14 0.2× 23 794
Marie-Chantal Wanet-Defalque Belgium 16 837 1.5× 454 1.0× 78 0.3× 269 2.1× 6 0.1× 27 1.3k
Carolin A. Ruf Germany 12 862 1.5× 393 0.9× 96 0.4× 80 0.6× 5 0.1× 17 1.0k
M. Soede Netherlands 9 190 0.3× 59 0.1× 76 0.3× 14 0.1× 18 0.3× 22 556
Laura Carelli Italy 15 282 0.5× 79 0.2× 23 0.1× 15 0.1× 11 0.2× 53 802
Ian Williams United Kingdom 14 187 0.3× 266 0.6× 205 0.8× 146 1.1× 39 764

Countries citing papers authored by Daniel R. Young

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Young

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

All Works

13 of 13 papers shown
1.
Willett, Francis R., Daniel R. Young, Brian Murphy, et al.. (2019). Principled BCI Decoder Design and Parameter Selection Using a Feedback Control Model. Scientific Reports. 9(1). 8881–8881. 30 indexed citations
2.
Young, Daniel R., Francis R. Willett, William D. Memberg, et al.. (2018). Closed-loop cortical control of virtual reach and posture using Cartesian and joint velocity commands. Journal of Neural Engineering. 16(2). 26011–26011. 17 indexed citations
3.
Willett, Francis R., Brian Murphy, Daniel R. Young, et al.. (2017). A Comparison of Intention Estimation Methods for Decoder Calibration in Intracortical Brain–Computer Interfaces. IEEE Transactions on Biomedical Engineering. 65(9). 2066–2078. 19 indexed citations
4.
Young, Daniel R., Francis R. Willett, William D. Memberg, et al.. (2017). Signal processing methods for reducing artifacts in microelectrode brain recordings caused by functional electrical stimulation. Journal of Neural Engineering. 15(2). 26014–26014. 27 indexed citations
5.
Ajiboye, A. Bolu, Francis R. Willett, Daniel R. Young, et al.. (2017). Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration. The Lancet. 389(10081). 1821–1830. 563 indexed citations breakdown →
6.
7.
Young, Daniel R., et al.. (1990). Informed Consent Documents: Increasing Comprehension by Reducing Reading Level. IRB Ethics and Human Research. 12(3). 1–1. 83 indexed citations
8.
Bellezza, Francis S. & Daniel R. Young. (1989). Chunking of repeated events in memory.. Journal of Experimental Psychology Learning Memory and Cognition. 15(5). 990–997. 35 indexed citations
9.
Young, Daniel R. & Gary M. Schumacher. (1983). Context Effects in Young Children's Sensitivity to the Importance Level of Prose Information. Child Development. 54(6). 1446–1446. 5 indexed citations
10.
Young, Daniel R. & Gary M. Schumacher. (1983). Context Effects in Young Children's Sensitivity to the Importance Level of Prose Information. Child Development. 54(6). 1446–1456. 5 indexed citations
11.
Schumacher, Gary M., J. D. Moses, & Daniel R. Young. (1983). Students' Studying Processes on Course Related Texts: The Impact of Inserted Questions. Journal of Reading Behavior. 15(2). 19–36. 6 indexed citations
12.
Young, Daniel R. & Francis S. Bellezza. (1982). Encoding variability, memory organization, and the repetition effect.. Journal of Experimental Psychology Learning Memory and Cognition. 8(6). 545–559. 10 indexed citations
13.
Young, Daniel R. & Francis S. Bellezza. (1982). Encoding variability, memory organization, and the repetition effect.. Journal of Experimental Psychology Learning Memory and Cognition. 8(6). 545–559. 46 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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