Galen E. Pickard
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Mobile Crowdsensing and Crowdsourcing 3
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- Complex Network Analysis Techniques 2
- Opinion Dynamics and Social Influence 1
- Co-authors
- Manuel Cebrián (4 shared papers)Alex Pentland (3 shared papers)Iyad Rahwan (3 shared papers)Anmol Madan (2 shared papers)Riley Crane (2 shared papers)Coco Krumme (1 shared paper)Morgan R. Frank (1 shared paper)Whitman Richards (2 shared papers)
- Journals
- PLoS ONE (2 papers)Science (1 paper)Neural Networks (1 paper)arXiv (Cornell University) (1 paper)IEEE Military Communications Conference (MILCOM) (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Galen E. Pickard
8 papers receiving 234 citations
Peers
Comparison fields: 5 of 53
- Computer Science Applications 65
- Statistical and Nonlinear Physics 54
- Management Science and Operations Research 44
- General Decision Sciences 6
- Space and Planetary Science 2
Countries citing papers authored by Galen E. Pickard
This map shows the geographic impact of Galen E. 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 E. 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 E. Pickard more than expected).
Fields of papers citing papers by Galen E. Pickard
This network shows the impact of papers produced by Galen E. 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 E. Pickard. The network helps show where Galen E. Pickard may publish in the future.
Co-authors
The 11 scholars most cited alongside Galen E. 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 | 2011 | 167 | |
| 2 | 2012 | 45 | |
| 3 | 2017 | 19 | |
| 4 | 2006 | 11 | |
| 5 | 2010 | 6 | |
| 6 | 2010 | 3 | |
| 7 | 2008 | 1 | |
| 8 | 2010 | 1 | |
| 9 | 2006 Special Issue Neural voting machines | 2006 | 0 |
About Galen E. Pickard
Galen E. Pickard is a scholar working on Computer Science Applications, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications and Economics and Econometrics, having authored 9 papers that have together received 253 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (3 papers), Neural Networks and Applications (2 papers), Game Theory and Voting Systems (2 papers), Complex Network Analysis Techniques (2 papers), Advanced Authentication Protocols Security (2 papers), Military Strategy and Technology (1 paper), Cryptography and Data Security (1 paper) and Opinion Dynamics and Social Influence (1 paper). The work is most often cited by research in Computer Science Applications (65 citations), Statistical and Nonlinear Physics (54 citations), Management Science and Operations Research (44 citations), General Decision Sciences (6 citations) and Space and Planetary Science (2 citations). Galen E. Pickard has collaborated with scholars based in United States and Australia. Frequent co-authors include Manuel Cebrián, Alex Pentland, Iyad Rahwan, Anmol Madan, Riley Crane, Coco Krumme, Morgan R. Frank, Whitman Richards, H. Sebastian Seung and Benjamin W. Fuller. Their work appears in journals such as PLoS ONE, Science, Neural Networks, arXiv (Cornell University) and IEEE Military Communications Conference (MILCOM).
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.