Brian Loranger
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 10%
Papers in
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- Augmented Reality Applications 3
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- Mobile Learning in Education 2
- Co-authors
- Donald MacDonald (2 shared papers)Jason R. Swedlow (2 shared papers)Josh Moore (2 shared papers)Chris Allan (2 shared papers)Jean‐Marie Burel (2 shared papers)William J. Moore (1 shared paper)Aleksandra Tarkowska (1 shared paper)Andrew Patterson (1 shared paper)
- Journals
- Advances in experimental medicine and biology (5 papers)The Journal of Cell Biology (1 paper)Journal of Visual Communication in Medicine (1 paper)Methods in cell biology (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Brian Loranger
11 papers receiving 773 citations
Brian Loranger's Hit Papers
Peers
Comparison fields: 5 of 125
- Biophysics 314
- Structural Biology 28
- Aging 19
- Molecular Biology 361
- Information Systems and Management 37
Countries citing papers authored by Brian Loranger
This map shows the geographic impact of Brian Loranger'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 Brian Loranger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Loranger more than expected).
Fields of papers citing papers by Brian Loranger
This network shows the impact of papers produced by Brian Loranger. 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 Brian Loranger. The network helps show where Brian Loranger may publish in the future.
Co-authors
The 21 scholars most cited alongside Brian Loranger, 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 | Metadata matters: access to image data in the real world Hit paper breakdown → | 2010 | 708 |
| 2 | 2008 | 26 | |
| 3 | 2020 | 15 | |
| 4 | 2017 | 9 | |
| 5 | 2019 | 7 | |
| 6 | 2020 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 2 | |
| 10 | 2020 | 1 | |
| 11 | 2016 | 1 |
About Brian Loranger
Brian Loranger is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Biomedical Engineering, Surgery and General Health Professions, having authored 11 papers that have together received 784 indexed citations. Recurring topics across this work include Anatomy and Medical Technology (3 papers), Augmented Reality Applications (3 papers), Diabetes Management and Research (2 papers), Surgical Simulation and Training (2 papers), Virtual Reality Applications and Impacts (2 papers), Mobile Health and mHealth Applications (2 papers), Mobile Learning in Education (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Biophysics (314 citations), Structural Biology (28 citations), Aging (19 citations), Molecular Biology (361 citations) and Information Systems and Management (37 citations). Brian Loranger has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Donald MacDonald, Jason R. Swedlow, Josh Moore, Chris Allan, Jean‐Marie Burel, William J. Moore, Aleksandra Tarkowska, Andrew Patterson, Melissa Linkert and Emma Hill. Their work appears in journals such as Advances in experimental medicine and biology, The Journal of Cell Biology, Journal of Visual Communication in Medicine, Methods in cell biology and Lecture notes in computer science.
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.