Daniel K. Wood

565 total citations
14 papers, 376 citations indexed

About

Daniel K. Wood is a scholar working on Cognitive Neuroscience, Social Psychology and Molecular Biology. According to data from OpenAlex, Daniel K. Wood has authored 14 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 4 papers in Social Psychology and 3 papers in Molecular Biology. Recurrent topics in Daniel K. Wood's work include Visual perception and processing mechanisms (10 papers), Motor Control and Adaptation (7 papers) and Neural dynamics and brain function (5 papers). Daniel K. Wood is often cited by papers focused on Visual perception and processing mechanisms (10 papers), Motor Control and Adaptation (7 papers) and Neural dynamics and brain function (5 papers). Daniel K. Wood collaborates with scholars based in Canada, United States and Australia. Daniel K. Wood's co-authors include Melvyn A. Goodale, Jason P. Gallivan, Jennifer L. Milne, Jody C. Culham, Craig S. Chapman, Chao Gu, Brian D. Corneil, Konrad P. Körding, Joshua I. Glaser and Mark A. Segraves and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Psychological Science.

In The Last Decade

Daniel K. Wood

13 papers receiving 365 citations

Peers

Daniel K. Wood
Bonnie M. Lawrence United States
Elena Gherri United Kingdom
Theresa J. Klein United States
Michael A. Steinmetz United States
Hannah Sheahan United Kingdom
Anil Cherian United States
Robert Pokorny United States
Bonnie M. Lawrence United States
Daniel K. Wood
Citations per year, relative to Daniel K. Wood Daniel K. Wood (= 1×) peers Bonnie M. Lawrence

Countries citing papers authored by Daniel K. Wood

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel K. Wood

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

All Works

14 of 14 papers shown
2.
Glaser, Joshua I., et al.. (2019). From Prior Information to Saccade Selection: Evolution of Frontal Eye Field Activity during Natural Scene Search. Cerebral Cortex. 30(3). 1957–1973. 6 indexed citations
5.
Ramkumar, Pavan, Joshua I. Glaser, Daniel K. Wood, et al.. (2016). Feature-based attention and spatial selection in frontal eye fields during natural scene search. Journal of Neurophysiology. 116(3). 1328–1343. 20 indexed citations
6.
Glaser, Joshua I., et al.. (2016). Role of expected reward in frontal eye field during natural scene search. Journal of Neurophysiology. 116(2). 645–657. 27 indexed citations
7.
Wood, Daniel K., Chao Gu, Brian D. Corneil, Paul L. Gribble, & Melvyn A. Goodale. (2015). Transient visual responses reset the phase of low‐frequency oscillations in the skeletomotor periphery. European Journal of Neuroscience. 42(3). 1919–1932. 36 indexed citations
8.
Goonetilleke, Samanthi C., Leor N. Katz, Daniel K. Wood, et al.. (2015). Cross-species comparison of anticipatory and stimulus-driven neck muscle activity well before saccadic gaze shifts in humans and nonhuman primates. Journal of Neurophysiology. 114(2). 902–913. 25 indexed citations
9.
Milne, Jennifer L., Craig S. Chapman, Jason P. Gallivan, et al.. (2013). Connecting the Dots. Psychological Science. 24(8). 1456–1465. 19 indexed citations
10.
Gallivan, Jason P., Craig S. Chapman, Daniel K. Wood, et al.. (2011). One to Four, and Nothing More. Psychological Science. 22(6). 803–811. 48 indexed citations
11.
Chapman, Craig S., Jason P. Gallivan, Daniel K. Wood, et al.. (2010). Reaching for the unknown: Multiple target encoding and real-time decision-making in a rapid reach task. Cognition. 116(2). 168–176. 133 indexed citations
12.
Chapman, Craig S., Jason P. Gallivan, Daniel K. Wood, et al.. (2010). Short-term motor plasticity revealed in a visuomotor decision-making task. Behavioural Brain Research. 214(1). 130–134. 30 indexed citations
13.
Wood, Daniel K. & Melvyn A. Goodale. (2010). Selection of wrist posture in conditions of motor ambiguity. Experimental Brain Research. 208(4). 607–620. 8 indexed citations
14.
Gallivan, Jason P. & Daniel K. Wood. (2009). Simultaneous Encoding of Potential Grasping Movements in Macaque Anterior Intraparietal Area. Journal of Neuroscience. 29(39). 12031–12032. 4 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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