David L. Wright

5.2k total citations · 1 hit paper
138 papers, 3.4k citations indexed

About

David L. Wright is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, David L. Wright has authored 138 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cognitive Neuroscience, 24 papers in Social Psychology and 23 papers in Developmental and Educational Psychology. Recurrent topics in David L. Wright's work include Motor Control and Adaptation (53 papers), Action Observation and Synchronization (20 papers) and Muscle activation and electromyography studies (20 papers). David L. Wright is often cited by papers focused on Motor Control and Adaptation (53 papers), Action Observation and Synchronization (20 papers) and Muscle activation and electromyography studies (20 papers). David L. Wright collaborates with scholars based in United States, Australia and Netherlands. David L. Wright's co-authors include Charles H. Shea, Hyman Bass, E. H. Connell, Douglas D. Ready, Maarten A. Immink, Willem B. Verwey, Charles B. Black, Yuhua Li, Chad A. Whitacre and William A. Blanc and has published in prestigious journals such as SHILAP Revista de lepidopterología, Circulation Research and PEDIATRICS.

In The Last Decade

David L. Wright

131 papers receiving 3.1k citations

Hit Papers

The Jacobian conjecture: Reduction of degree and formal e... 1982 2026 1996 2011 1982 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David L. Wright United States 30 1.4k 763 670 642 314 138 3.4k
Warren S. Brown United States 46 2.7k 1.9× 375 0.5× 87 0.1× 346 0.5× 53 0.2× 135 6.0k
Manfred Herrmann Germany 37 1.8k 1.3× 265 0.3× 325 0.5× 379 0.6× 51 0.2× 160 4.7k
John C. Baird United States 35 1.4k 1.0× 183 0.2× 35 0.1× 463 0.7× 103 0.3× 142 3.6k
Aaron S. Heller United States 32 1.6k 1.1× 97 0.1× 217 0.3× 429 0.7× 8 0.0× 81 3.3k
Greig I. de Zubicaray Australia 50 5.2k 3.6× 816 1.1× 162 0.2× 570 0.9× 102 0.3× 259 8.4k
John D. Van Horn United States 47 6.1k 4.3× 334 0.4× 45 0.1× 580 0.9× 147 0.5× 196 9.5k
David B. Mumford United Kingdom 25 1.0k 0.7× 39 0.1× 78 0.1× 533 0.8× 24 0.1× 37 3.2k
Christopher R. Madan United Kingdom 33 1.7k 1.2× 556 0.7× 34 0.1× 422 0.7× 74 0.2× 160 3.1k
Rex E. Jung United States 46 5.0k 3.5× 458 0.6× 52 0.1× 435 0.7× 43 0.1× 128 8.4k
Robert W. Thatcher United States 41 3.8k 2.7× 460 0.6× 18 0.0× 342 0.5× 267 0.9× 91 6.1k

Countries citing papers authored by David L. Wright

Since Specialization
Citations

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

Fields of papers citing papers by David L. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Wright. 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 David L. Wright. The network helps show where David L. Wright may publish in the future.

Co-authorship network of co-authors of David L. Wright

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

All Works

20 of 20 papers shown
1.
Wright, David L., et al.. (2025). Application of bilateral tDCS over left and right M1 produces asymmetric training and retention effects when learning a rhythmic bimanual task. Experimental Brain Research. 243(4). 91–91. 1 indexed citations
2.
Mackowiak, Cheryl, José Carlos Batista Dubeux, Sheeja George, et al.. (2024). Tillage and Overseeding Pastures for Winter Forage Production in North Florida. SHILAP Revista de lepidopterología. 2024(3).
3.
Chen, Jing, Marc Roig, & David L. Wright. (2020). Exercise Reduces Competition between Procedural and Declarative Memory Systems. eNeuro. 7(4). ENEURO.0070–20.2020. 8 indexed citations
4.
5.
Kim, Tae‐Won, et al.. (2020). Improving consolidation by applying anodal transcranial direct current stimulation at primary motor cortex during repetitive practice. Neurobiology of Learning and Memory. 178. 107365–107365. 16 indexed citations
6.
Wright, David L., Douglas Baker, Laurie Buys, et al.. (2017). Co-futuring narratives for Toowoomba - A regional Australian community. Journal of futures studies. 22(1). 19–38. 4 indexed citations
7.
Immink, Maarten A., David L. Wright, & William S. Barnes. (2012). Temperature Dependency in Motor Skill Learning. Journal of Motor Behavior. 44(2). 105–113. 6 indexed citations
8.
Essen, Arno van den, David L. Wright, & Wenhua Zhao. (2011). Images of locally finite derivations of polynomial algebras in two variables. Journal of Pure and Applied Algebra. 215(9). 2130–2134. 15 indexed citations
9.
Robin, Donald A., et al.. (2008). Motor Programming When Sequencing Multiple Elements of the Same Duration. Journal of Motor Behavior. 40(6). 532–544. 15 indexed citations
10.
Maas, Edwin, Donald A. Robin, David L. Wright, & Kirrie J. Ballard. (2008). Motor programming in apraxia of speech. Brain and Language. 106(2). 107–118. 53 indexed citations
11.
Buchanan, John J., et al.. (2007). Learning and Transfer of a Relative Phase Pattern and a Joint Amplitude Ratio in a Rhythmic Multijoint Arm Movement. Journal of Motor Behavior. 39(1). 49–67. 22 indexed citations
12.
Black, Charles B., et al.. (2005). Learning to Detect Error in Movement Timing Using Physical and Observational Practice. Research Quarterly for Exercise and Sport. 76(1). 28–41. 16 indexed citations
13.
Wright, David L., Charlotte Magnusson, & Willem B. Verwey. (2003). Developing response selection through high contextual interference training.. Journal of Sport and Exercise Psychology. 25. 140–141. 1 indexed citations
14.
Black, Charles B. & David L. Wright. (2000). Can Observational Practice Facilitate Error Recognition and Movement Production?. Research Quarterly for Exercise and Sport. 71(4). 331–339. 45 indexed citations
15.
Shea, Charles H., et al.. (2000). Reduced-Frequency Concurrent and Terminal Feedback: A Test of the Guidance Hypothesis. Journal of Motor Behavior. 32(3). 287–296. 96 indexed citations
16.
Wulf, Gabriele, Nancy McNevin, Charles H. Shea, & David L. Wright. (1999). Learning phenomena: Future challenges for the dynamical systems approach to understanding the learning of complex motor skills. International journal of sport psychology. 30(4). 531–557. 12 indexed citations
17.
Wright, David L.. (1989). The tree formulas for reversion of power series. Journal of Pure and Applied Algebra. 57(2). 191–211. 16 indexed citations
18.
Black, Paul L., et al.. (1986). Usefulness of low dose guanfacine, once a day, for 24-hour control of essential hypertension. The American Journal of Cardiology. 57(9). E38–E42. 6 indexed citations
19.
Alperin, Roger C. & David L. Wright. (1979). K2(2, k[T, T−1]) is generated by “symbols”. Journal of Algebra. 59(1). 39–46. 4 indexed citations
20.
Wright, David L.. (1978). Cancellation of variables of the form bTn — a. Journal of Algebra. 52(1). 94–100. 9 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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