Scout Calvert
Impact in
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- Scientific Computing and Data Management
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Research Data Management Practices 3
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- Scientific Computing and Data Management 2
- Co-authors
- Steven J. Jackson (1 shared paper)Paul Edwards (1 shared paper)Christine L. Borgman (1 shared paper)Matt Burton (1 shared paper)David Ribes (1 shared paper)Geoffrey C. Bowker (1 shared paper)Matthew J. Bietz (1 shared paper)Kevin Patrick (1 shared paper)
- Journals
- Science as Culture (2 papers)Data Science Journal (2 papers)Journal of the American Medical Informatics Association (1 paper)Deep Blue (University of Michigan) (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- United States
In The Last Decade
Scout Calvert
10 papers receiving 314 citations
Peers
Comparison fields: 5 of 106
- Information Systems and Management 59
- Computer Science Applications 34
- Applied Psychology 18
- Health Informatics 5
- Human-Computer Interaction 22
Countries citing papers authored by Scout Calvert
This map shows the geographic impact of Scout Calvert'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 Scout Calvert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scout Calvert more than expected).
Fields of papers citing papers by Scout Calvert
This network shows the impact of papers produced by Scout Calvert. 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 Scout Calvert. The network helps show where Scout Calvert may publish in the future.
Co-authors
The 17 scholars most cited alongside Scout Calvert, 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 | Knowledge Infrastructures: Intellectual Frameworks and Research Challenges | 2013 | 192 |
| 2 | 2015 | 121 | |
| 3 | 2021 | 16 | |
| 4 | 2012 | 5 | |
| 5 | 2017 | 4 | |
| 6 | 2024 | 2 | |
| 7 | Research Libraries, Emerging Technologies—and a Pandemic | 2020 | 1 |
| 8 | 2014 | 1 | |
| 9 | 2011 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 0 |
About Scout Calvert
Scout Calvert is a scholar working on Information Systems, Information Systems and Management, Management, Monitoring, Policy and Law, General Health Professions and Sociology and Political Science, having authored 11 papers that have together received 344 indexed citations. Recurring topics across this work include Research Data Management Practices (3 papers), Scientific Computing and Data Management (2 papers), Digital Games and Media (1 paper), American Environmental and Regional History (1 paper), Environmental Education and Sustainability (1 paper), Data Quality and Management (1 paper), Digital and Traditional Archives Management (1 paper) and Culinary Culture and Tourism (1 paper). The work is most often cited by research in Information Systems and Management (59 citations), Computer Science Applications (34 citations), Applied Psychology (18 citations), Health Informatics (5 citations) and Human-Computer Interaction (22 citations). Scout Calvert has collaborated with scholars based in United States. Frequent co-authors include Steven J. Jackson, Paul Edwards, Christine L. Borgman, Matt Burton, David Ribes, Geoffrey C. Bowker, Matthew J. Bietz, Kevin Patrick, Judith Gregory and Cinnamon S. Bloss. Their work appears in journals such as Science as Culture, Data Science Journal, Journal of the American Medical Informatics Association, Deep Blue (University of Michigan) and DOAJ (DOAJ: Directory of Open Access Journals).
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.