Galen Pickard
Impact in
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- Circadian rhythm and melatonin
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Advanced Authentication Protocols Security 1
- Caching and Content Delivery 1
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- User Authentication and Security Systems 2
- Spam and Phishing Detection 1
- Co-authors
- Patricia J. Sollars (1 shared paper)Scott B. Baver (1 shared paper)Gary E. Pickard (1 shared paper)Manuel Cebrián (3 shared papers)Iyad Rahwan (2 shared papers)Alex Pentland (1 shared paper)Wei Pan (1 shared paper)Riley Crane (1 shared paper)
- Journals
- PLoS ONE (2 papers)Neural Networks (1 paper)Science (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- United StatesAustraliaUnited Arab Emirates
In The Last Decade
Galen Pickard
8 papers receiving 451 citations
Peers
Comparison fields: 5 of 85
- Endocrine and Autonomic Systems 207
- Computer Science Applications 61
- Cellular and Molecular Neuroscience 137
- Statistical and Nonlinear Physics 70
- Management Science and Operations Research 60
Countries citing papers authored by Galen Pickard
This map shows the geographic impact of Galen Pickard'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 Galen Pickard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galen Pickard more than expected).
Fields of papers citing papers by Galen Pickard
This network shows the impact of papers produced by Galen Pickard. 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 Galen Pickard. The network helps show where Galen Pickard may publish in the future.
Co-authors
The 14 scholars most cited alongside Galen Pickard, 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 | 2008 | 238 | |
| 2 | 2011 | 146 | |
| 3 | 2012 | 39 | |
| 4 | 2017 | 21 | |
| 5 | 2006 | 11 | |
| 6 | 2010 | 5 | |
| 7 | 2010 | 1 | |
| 8 | 2008 | 1 |
About Galen Pickard
Galen Pickard is a scholar working on Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics, Cognitive Neuroscience and Safety Research, having authored 8 papers that have together received 462 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), User Authentication and Security Systems (2 papers), Advanced Authentication Protocols Security (1 paper), Complex Network Analysis Techniques (1 paper), Spam and Phishing Detection (1 paper), Caching and Content Delivery (1 paper) and Open Source Software Innovations (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (207 citations), Computer Science Applications (61 citations), Cellular and Molecular Neuroscience (137 citations), Statistical and Nonlinear Physics (70 citations) and Management Science and Operations Research (60 citations). Galen Pickard has collaborated with scholars based in United States, Australia and United Arab Emirates. Frequent co-authors include Patricia J. Sollars, Scott B. Baver, Gary E. Pickard, Manuel Cebrián, Iyad Rahwan, Alex Pentland, Wei Pan, Riley Crane, Anmol Madan and Coco Krumme. Their work appears in journals such as PLoS ONE, Neural Networks, Science and European Journal of Neuroscience.
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.