Michael Donnelly
- Cognitive Neuroscience top 2%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Developmental and Educational Psychology top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- R. R. PriceVictoria L. MorganRandolph BlakeEmily D. GrossmanDavid R. PickensTracy TaylorFred H. PrevicChristopher Bowd
- Topics
- Visual perception and processing mechanisms (10 papers)Neurobiology and Insect Physiology Research (4 papers)Color perception and design (3 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Michael Donnelly
13 papers receiving 872 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 767
- Social Psychology 424
- Experimental and Cognitive Psychology 169
- Developmental and Educational Psychology 125
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Michael Donnelly
This map shows the geographic impact of Michael Donnelly'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 Michael Donnelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Donnelly more than expected).
Fields of papers citing papers by Michael Donnelly
This network shows the impact of papers produced by Michael Donnelly. 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 Michael Donnelly. The network helps show where Michael Donnelly may publish in the future.
Co-authorship network of co-authors of Michael Donnelly
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Donnelly. A scholar is included among the top collaborators of Michael Donnelly 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 Michael Donnelly. Michael Donnelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 41 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | Brain Areas Involved in Perception of Biological Motionbreakdown → | 716 |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 11 | |
| 10 | Coherent plaid motion and the barberpole illusion perceived with cyclopean (stereoscopic) components | 1 |
| 11 | Ingested ethanol and binocular rivalry. | 15 |
| 12 | 33 | |
| 13 | 3 |
About Michael Donnelly
Michael Donnelly is a scholar working on Cognitive Neuroscience, Physiology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 907 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (10 papers), Neurobiology and Insect Physiology Research (4 papers) and Color perception and design (3 papers). The work is most often cited by research in Cognitive Neuroscience (767 citations), Social Psychology (424 citations) and Experimental and Cognitive Psychology (169 citations). Michael Donnelly has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include R. R. Price, Victoria L. Morgan, Randolph Blake, Emily D. Grossman, David R. Pickens, Tracy Taylor, Fred H. Previc, Christopher Bowd, Robert J. Miller and Robert Patterson. Their work appears in journals such as Psychological Science, Journal of Cognitive Neuroscience and Vision Research.
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.