Matt Burton
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
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- Scientific Computing and Data Management
Papers in
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- Research Data Management Practices 4
- Library Collection Development and Digital Resources 1
- Library Science and Information Systems 1
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- Digital and Traditional Archives Management 2
- Co-authors
- Jocelyn A. van den Bergen (1 shared paper)Andrew Sinclair (1 shared paper)Denise C. Miles (1 shared paper)Patrick Western (1 shared paper)Steven J. Jackson (2 shared papers)David Ribes (2 shared papers)Paul Edwards (1 shared paper)Geoffrey C. Bowker (1 shared paper)
- Journals
- Stem Cells (1 paper)Journal of Electronic Publishing (1 paper)D-Scholarship@Pitt (University of Pittsburgh) (1 paper)Deep Blue (University of Michigan) (1 paper)DH (2 papers)
- Partner nations
- United StatesAustraliaChile
In The Last Decade
Matt Burton
8 papers receiving 411 citations
Peers
Comparison fields: 5 of 96
- Reproductive Medicine 85
- Information Systems and Management 70
- Computer Science Applications 31
- Information Systems 86
- Genetics 97
Countries citing papers authored by Matt Burton
This map shows the geographic impact of Matt Burton'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 Matt Burton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Burton more than expected).
Fields of papers citing papers by Matt Burton
This network shows the impact of papers produced by Matt Burton. 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 Matt Burton. The network helps show where Matt Burton may publish in the future.
Co-authors
The 18 scholars most cited alongside Matt Burton, 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 | 2007 | 221 | |
| 2 | Knowledge Infrastructures: Intellectual Frameworks and Research Challenges | 2013 | 163 |
| 3 | Shifting to Data Savvy: The Future of Data Science In Libraries | 2018 | 18 |
| 4 | 2017 | 14 | |
| 5 | 2012 | 5 | |
| 6 | 2016 | 3 | |
| 7 | 2020 | 3 | |
| 8 | 2009 | 2 | |
| 9 | Trace Ethnography Workshop | 2015 | 1 |
| 10 | New Scholarship in the Digital Age: Making, Publishing, Maintaining, and Preserving Non-Traditional Scholarly Objects. | 2020 | 0 |
| 11 | Defactoring Pace of Change. | 2017 | 0 |
About Matt Burton
Matt Burton is a scholar working on Information Systems, Conservation, Information Systems and Management, Management Science and Operations Research and Computer Science Applications, having authored 11 papers that have together received 430 indexed citations. Recurring topics across this work include Research Data Management Practices (4 papers), Data Quality and Management (2 papers), Digital and Traditional Archives Management (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Health Sciences Research and Education (1 paper), Library Collection Development and Digital Resources (1 paper), Library Science and Information Systems (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Reproductive Medicine (85 citations), Information Systems and Management (70 citations), Computer Science Applications (31 citations), Information Systems (86 citations) and Genetics (97 citations). Matt Burton has collaborated with scholars based in United States, Australia and Chile. Frequent co-authors include Jocelyn A. van den Bergen, Andrew Sinclair, Denise C. Miles, Patrick Western, Steven J. Jackson, David Ribes, Paul Edwards, Geoffrey C. Bowker, Scout Calvert and Christine L. Borgman. Their work appears in journals such as Stem Cells, Journal of Electronic Publishing, D-Scholarship@Pitt (University of Pittsburgh), Deep Blue (University of Michigan) and DH.
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.