Oliver Hinds
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Bruce FischlNiranjini RajendranJean C. AugustinackKarl ZillesKatrin AmuntsEvelina BusaB.T. Thomas YeoHartmut Mohlberg
- Topics
- Functional Brain Connectivity Studies (7 papers)Neural dynamics and brain function (6 papers)Visual perception and processing mechanisms (4 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingManagement Science and Operations Research
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Oliver Hinds
13 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 864
- Radiology, Nuclear Medicine and Imaging 444
- Management Science and Operations Research 72
- Computer Vision and Pattern Recognition 64
- Artificial Intelligence 61
Countries citing papers authored by Oliver Hinds
This map shows the geographic impact of Oliver Hinds'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 Oliver Hinds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Hinds more than expected).
Fields of papers citing papers by Oliver Hinds
This network shows the impact of papers produced by Oliver Hinds. 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 Oliver Hinds. The network helps show where Oliver Hinds may publish in the future.
Co-authorship network of co-authors of Oliver Hinds
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Hinds. A scholar is included among the top collaborators of Oliver Hinds 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 Oliver Hinds. Oliver Hinds 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 | 0 | |
| 3 | 58 | |
| 4 | 61 | |
| 5 | 57 | |
| 6 | 87 | |
| 7 | 2 | |
| 8 | 31 | |
| 9 | Cortical Folding Patterns and Predicting Cytoarchitecturebreakdown → | 570 |
| 10 | 189 | |
| 11 | Cortical Folding Patterns and Predicting Cytoarchitecture | 7 |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 104 |
About Oliver Hinds
Oliver Hinds is a scholar working on Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (6 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Cognitive Neuroscience (864 citations), Radiology, Nuclear Medicine and Imaging (444 citations) and Management Science and Operations Research (72 citations). Oliver Hinds has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Bruce Fischl, Niranjini Rajendran, Jean C. Augustinack, Karl Zilles, Katrin Amunts, Evelina Busa, B.T. Thomas Yeo, Hartmut Mohlberg, Christina Triantafyllou and Jon̈athan R. Polimeni. Their work appears in journals such as NeuroImage, Journal of Neurophysiology and Cerebral Cortex.
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.