Amye Kenall
Impact in
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- Scientific Computing and Data Management
- Academic Publishing and Open Access
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- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
Papers in
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- Scientific Computing and Data Management 4
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- Research Data Management Practices 3
- Co-authors
- Andrew Updegrove (1 shared paper)Brian A. Nosek (1 shared paper)Erin C. McKiernan (1 shared paper)Kaitlin Thaney (1 shared paper)Jennifer Lin (1 shared paper)Tal Yarkoni (1 shared paper)C. Titus Brown (1 shared paper)Karthik Ram (1 shared paper)
- Journals
- Scientific Data (1 paper)GigaScience (1 paper)BMC Neuroscience (1 paper)eLife (1 paper)International Journal of Digital Curation (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Amye Kenall
5 papers receiving 517 citations
Amye Kenall's Hit Papers
Peers
Comparison fields: 5 of 113
- Information Systems and Management 230
- Statistics, Probability and Uncertainty 186
- Information Systems 236
- Ecological Modeling 26
- Computer Science Applications 24
Countries citing papers authored by Amye Kenall
This map shows the geographic impact of Amye Kenall'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 Amye Kenall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amye Kenall more than expected).
Fields of papers citing papers by Amye Kenall
This network shows the impact of papers produced by Amye Kenall. 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 Amye Kenall. The network helps show where Amye Kenall may publish in the future.
Co-authors
The 25 scholars most cited alongside Amye Kenall, 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 | How open science helps researchers succeed Hit paper breakdown → | 2016 | 444 |
| 2 | 2018 | 69 | |
| 3 | 2017 | 17 | |
| 4 | 2015 | 12 | |
| 5 | 2015 | 7 |
About Amye Kenall
Amye Kenall is a scholar working on Information Systems and Management, Information Systems, Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health and Management Science and Operations Research, having authored 5 papers that have together received 549 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (4 papers), Research Data Management Practices (3 papers), Health and Medical Research Impacts (2 papers), Meta-analysis and systematic reviews (2 papers), Data Quality and Management (2 papers), Privacy-Preserving Technologies in Data (1 paper) and scientometrics and bibliometrics research (1 paper). The work is most often cited by research in Information Systems and Management (230 citations), Statistics, Probability and Uncertainty (186 citations), Information Systems (236 citations), Ecological Modeling (26 citations) and Computer Science Applications (24 citations). Amye Kenall has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Andrew Updegrove, Brian A. Nosek, Erin C. McKiernan, Kaitlin Thaney, Jennifer Lin, Tal Yarkoni, C. Titus Brown, Karthik Ram, Courtney K. Soderberg and Kara Woo. Their work appears in journals such as Scientific Data, GigaScience, BMC Neuroscience, eLife and International Journal of Digital Curation.
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.