Ryan Chute
Impact in
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- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
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- Academic Publishing and Open Access
- Scientific Computing and Data Management
Papers in ⓘ
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- Web visibility and informetrics 3
- Web Data Mining and Analysis 1
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- Complex Network Analysis Techniques 3
- Co-authors
- Herbert Van de Sompel (4 shared papers)Johan Bollen (3 shared papers)Aric Hagberg (2 shared papers)Lyudmila Balakireva (2 shared papers)Luís M. A. Bettencourt (1 shared paper)Marko A. Rodriguez (1 shared paper)Allan C. Hutchinson (1 shared paper)Anthony Niblett (1 shared paper)
- Journals
- PLoS ONE (2 papers)International Journal on Digital Libraries (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Ryan Chute
4 papers receiving 524 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Statistics, Probability and Uncertainty 306
- Information Systems and Management 80
- Statistical and Nonlinear Physics 98
- Information Systems 158
- Computer Science Applications 33
Countries citing papers authored by Ryan Chute
This map shows the geographic impact of Ryan Chute'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 Ryan Chute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Chute more than expected).
Fields of papers citing papers by Ryan Chute
This network shows the impact of papers produced by Ryan Chute. 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 Ryan Chute. The network helps show where Ryan Chute may publish in the future.
Co-authors
The 9 scholars most cited alongside Ryan Chute, 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 | A Principal Component Analysis of 39 Scientific Impact Measures Hit paper breakdown → | 2009 | 410 |
| 2 | 2009 | 133 | |
| 3 | University of New Brunswick Law Journal | 2020 | 31 |
| 4 | 2008 | 16 | |
| 5 | 2008 | 1 |
About Ryan Chute
Ryan Chute is a scholar working on Information Systems, Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 5 papers that have together received 591 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Web visibility and informetrics (3 papers), Advanced Data Storage Technologies (1 paper), scientometrics and bibliometrics research (1 paper), Scientific Computing and Data Management (1 paper), Data Visualization and Analytics (1 paper), Distributed and Parallel Computing Systems (1 paper) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (306 citations), Information Systems and Management (80 citations), Statistical and Nonlinear Physics (98 citations), Information Systems (158 citations) and Computer Science Applications (33 citations). Ryan Chute has collaborated with scholars based in United States and Belgium. Frequent co-authors include Herbert Van de Sompel, Johan Bollen, Aric Hagberg, Lyudmila Balakireva, Luís M. A. Bettencourt, Marko A. Rodriguez, Allan C. Hutchinson, Anthony Niblett and Bruce Ziff. Their work appears in journals such as PLoS ONE, International Journal on Digital Libraries and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.