John C. Ogilvie
- Cognitive Neuroscience top 5%
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence
- Developmental and Educational Psychology
- Co-authors
- Ian SpenceC. Douglas CreelmanM. M. TaylorBennet B. MurdockRonald J. HeslegraveJohn J. FuredyGregory V. JonesEndel Tulving
- Topics
- Optimal Experimental Design Methods (3 papers)Sensory Analysis and Statistical Methods (3 papers)Visual perception and processing mechanisms (2 papers)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
John C. Ogilvie
23 papers receiving 563 citations
Peers
Comparison fields: 5 of 144
- Cognitive Neuroscience 293
- Social Psychology 168
- Experimental and Cognitive Psychology 112
- Artificial Intelligence 70
- Developmental and Educational Psychology 58
Countries citing papers authored by John C. Ogilvie
This map shows the geographic impact of John C. Ogilvie'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 John C. Ogilvie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Ogilvie more than expected).
Fields of papers citing papers by John C. Ogilvie
This network shows the impact of papers produced by John C. Ogilvie. 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 John C. Ogilvie. The network helps show where John C. Ogilvie may publish in the future.
Co-authorship network of co-authors of John C. Ogilvie
This figure shows the co-authorship network connecting the top 25 collaborators of John C. Ogilvie. A scholar is included among the top collaborators of John C. Ogilvie 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 John C. Ogilvie. John C. Ogilvie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 33 | |
| 3 | 122 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 33 | |
| 7 | The distribution of number and size of connected components in random graphs of medium size. | 10 |
| 8 | 56 | |
| 9 | 76 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 39 | |
| 17 | 9 | |
| 18 | 19 | |
| 19 | 0 | |
| 20 | 5 |
About John C. Ogilvie
John C. Ogilvie is a scholar working on Management Science and Operations Research, Statistics and Probability and Ophthalmology, having authored 25 papers that have together received 655 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (3 papers), Sensory Analysis and Statistical Methods (3 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (293 citations), Experimental and Cognitive Psychology (112 citations) and Computational Mathematics (5 citations). John C. Ogilvie has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Ian Spence, C. Douglas Creelman, M. M. Taylor, Bennet B. Murdock, Ronald J. Heslegrave, John J. Furedy, Gregory V. Jones, Endel Tulving, P. H. Pinkerton and Chester L. Olson. Their work appears in journals such as Psychological Bulletin, Biometrics and Journal of Applied Physiology.
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.