Philip M. Grove
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Surgery
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Andrew R. L. StevensonHiroshi OnoShinichiro SakataBarbara GillamThomas S. A. WallisDerek H. ArnoldMarcus WatsonShinji Takahashi
- Topics
- Visual perception and processing mechanisms (40 papers)Multisensory perception and integration (16 papers)Color perception and design (10 papers)
- Journals
- PLoS ONEAnnals of SurgeryGut
In The Last Decade
Philip M. Grove
55 papers receiving 616 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 387
- Experimental and Cognitive Psychology 151
- Surgery 120
- Social Psychology 87
- Computer Vision and Pattern Recognition 85
Countries citing papers authored by Philip M. Grove
This map shows the geographic impact of Philip M. Grove'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 Philip M. Grove with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip M. Grove more than expected).
Fields of papers citing papers by Philip M. Grove
This network shows the impact of papers produced by Philip M. Grove. 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 Philip M. Grove. The network helps show where Philip M. Grove may publish in the future.
Co-authorship network of co-authors of Philip M. Grove
This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Grove. A scholar is included among the top collaborators of Philip M. Grove 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 Philip M. Grove. Philip M. Grove is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 21 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 50 | |
| 9 | 13 | |
| 10 | 12 | |
| 11 | 27 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | Global patterns of binocular image differences resolve the ambiguity between stereoscopic slant and stereoscopic occlusion | 3 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | Accuracy of aimpoint detection during passive landing | 1 |
| 20 | 2 |
About Philip M. Grove
Philip M. Grove is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 58 papers that have together received 624 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (40 papers), Multisensory perception and integration (16 papers) and Color perception and design (10 papers). The work is most often cited by research in Cognitive Neuroscience (387 citations), Experimental and Cognitive Psychology (151 citations) and Sensory Systems (52 citations). Philip M. Grove has collaborated with scholars based in Australia, Canada and Japan. Frequent co-authors include Andrew R. L. Stevenson, Hiroshi Ono, Shinichiro Sakata, Barbara Gillam, Thomas S. A. Wallis, Derek H. Arnold, Marcus Watson, Shinji Takahashi, Yousuke Kawachi and Andrew Hill. Their work appears in journals such as PLoS ONE, Annals of Surgery and Gut.
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.