Jonathan Crabtree
Impact in
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- Scientific Computing and Data Management
- Conservation top 5%
Papers in
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- Research Data Management Practices 3
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- Digital and Traditional Archives Management 4
- Co-authors
- Brian P. Brunk (3 shared papers)Christian J. Stoeckert (3 shared papers)Jonathan Schug (3 shared papers)G. Christian Overton (2 shared papers)Val Tannen (1 shared paper)Susan B. Davidson (1 shared paper)Varsha Khodiyar (1 shared paper)Barbara Sierman (1 shared paper)
- Journals
- Bioinformatics (1 paper)Future Generation Computer Systems (1 paper)IBM Systems Journal (1 paper)Diabetes (1 paper)Library trends (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jonathan Crabtree
14 papers receiving 404 citations
Jonathan Crabtree's Hit Papers
Peers
Comparison fields: 5 of 100
- Information Systems and Management 132
- Conservation 32
- Information Systems 157
- Management Science and Operations Research 44
- Ecological Modeling 13
Countries citing papers authored by Jonathan Crabtree
This map shows the geographic impact of Jonathan Crabtree'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 Jonathan Crabtree with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Crabtree more than expected).
Fields of papers citing papers by Jonathan Crabtree
This network shows the impact of papers produced by Jonathan Crabtree. 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 Jonathan Crabtree. The network helps show where Jonathan Crabtree may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Crabtree, 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 | The TRUST Principles for digital repositories Hit paper breakdown → | 2020 | 198 |
| 2 | 2001 | 111 | |
| 3 | 2003 | 49 | |
| 4 | 2001 | 30 | |
| 5 | 2009 | 29 | |
| 6 | 2009 | 9 | |
| 7 | 2024 | 6 | |
| 8 | 2013 | 4 | |
| 9 | Proceedings of the 12th International Conference on Digital Preservation | 2016 | 3 |
| 10 | 2021 | 3 | |
| 11 | 2001 | 2 | |
| 12 | 2007 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2011 | 1 |
About Jonathan Crabtree
Jonathan Crabtree is a scholar working on Information Systems, Conservation, Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 448 indexed citations. Recurring topics across this work include Digital and Traditional Archives Management (4 papers), Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers), Gene expression and cancer classification (2 papers), Advanced Data Storage Technologies (2 papers), Genomics and Phylogenetic Studies (2 papers), Image Processing and 3D Reconstruction (2 papers) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Information Systems and Management (132 citations), Conservation (32 citations), Information Systems (157 citations), Management Science and Operations Research (44 citations) and Ecological Modeling (13 citations). Jonathan Crabtree has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Brian P. Brunk, Christian J. Stoeckert, Jonathan Schug, G. Christian Overton, Val Tannen, Susan B. Davidson, Varsha Khodiyar, Barbara Sierman, Hervé L’Hours and Maryann E. Martone. Their work appears in journals such as Bioinformatics, Future Generation Computer Systems, IBM Systems Journal, Diabetes and Library trends.
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.