Gerard Deib
Impact in
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- Management of metastatic bone disease
- Surgical Simulation and Training
- Spinal Fractures and Fixation Techniques
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- Functional Brain Connectivity Studies
Papers in
- Surgery 8
- Surgical Simulation and Training 4
- Management of metastatic bone disease 2
- Co-authors
- Majid Khan (2 shared papers)Ferdinand Hui (4 shared papers)Jay J. Pillai (1 shared paper)Joshua P. Nickerson (1 shared paper)Domenico Zacà (1 shared paper)AM Patel (1 shared paper)Philippe Gailloud (3 shared papers)Long Qian (1 shared paper)
- Journals
- Aging Neuropsychology and Cognition (2 papers)American Journal of Neuroradiology (2 papers)Neuroradiology (1 paper)Scientific Reports (1 paper)Journal of NeuroInterventional Surgery (1 paper)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Gerard Deib
17 papers receiving 348 citations
Peers
Comparison fields: 5 of 64
- Surgery 173
- Cognitive Neuroscience 60
- Pathology and Forensic Medicine 56
- Radiology, Nuclear Medicine and Imaging 68
- Biomedical Engineering 97
Countries citing papers authored by Gerard Deib
This map shows the geographic impact of Gerard Deib'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 Gerard Deib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Deib more than expected).
Fields of papers citing papers by Gerard Deib
This network shows the impact of papers produced by Gerard Deib. 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 Gerard Deib. The network helps show where Gerard Deib may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerard Deib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 67 | |
| 2 | 2018 | 63 | |
| 3 | 2018 | 62 | |
| 4 | 2012 | 50 | |
| 5 | 2019 | 38 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 12 | |
| 8 | Virtual Reality in Neurointervention. | 2018 | 12 |
| 9 | 2022 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2017 | 1 | |
| 14 | 2011 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 1 |
About Gerard Deib
Gerard Deib is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 17 papers that have together received 351 indexed citations. Recurring topics across this work include Surgical Simulation and Training (4 papers), Augmented Reality Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Anatomy and Medical Technology (2 papers), Memory and Neural Mechanisms (2 papers), Neurobiology of Language and Bilingualism (2 papers) and Management of metastatic bone disease (2 papers). The work is most often cited by research in Surgery (173 citations), Cognitive Neuroscience (60 citations), Pathology and Forensic Medicine (56 citations), Radiology, Nuclear Medicine and Imaging (68 citations) and Biomedical Engineering (97 citations). Gerard Deib has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Majid Khan, Ferdinand Hui, Jay J. Pillai, Joshua P. Nickerson, Domenico Zacà, AM Patel, Philippe Gailloud, Long Qian, Alex Johnson and Mathias Unberath. Their work appears in journals such as Aging Neuropsychology and Cognition, American Journal of Neuroradiology, Neuroradiology, Scientific Reports and Journal of NeuroInterventional Surgery.
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.