Justin Sheehy
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Distributed and Parallel Computing Systems 2
- Distributed systems and fault tolerance 2
- Age of Information Optimization 1
- Co-authors
- Caz M. Taylor (2 shared papers)D. Ryan Norris (2 shared papers)Joshua D. Guttman (1 shared paper)John D. Ramsdell (1 shared paper)Brian Sniffen (1 shared paper)Peter Loscocco (1 shared paper)Jonathan K. Millen (1 shared paper)Amy L. Herzog (1 shared paper)
- Journals
- Queue (2 papers)Communications of the ACM (2 papers)Conservation Letters (1 paper)IEEE Internet Computing (1 paper)International Journal of Information Security (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Justin Sheehy
9 papers receiving 222 citations
Peers
Comparison fields: 5 of 39
- Ecological Modeling 37
- Signal Processing 52
- Information Systems 79
- Ecology 86
- Hardware and Architecture 22
Countries citing papers authored by Justin Sheehy
This map shows the geographic impact of Justin Sheehy'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 Justin Sheehy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Sheehy more than expected).
Fields of papers citing papers by Justin Sheehy
This network shows the impact of papers produced by Justin Sheehy. 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 Justin Sheehy. The network helps show where Justin Sheehy may publish in the future.
Co-authors
The 10 scholars most cited alongside Justin Sheehy, 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 | 127 | |
| 2 | 2011 | 60 | |
| 3 | 2010 | 32 | |
| 4 | 2015 | 7 | |
| 5 | 2015 | 6 | |
| 6 | 2011 | 4 | |
| 7 | 2010 | 4 | |
| 8 | 2021 | 2 | |
| 9 | 2013 | 1 | |
| 10 | 2020 | 0 |
About Justin Sheehy
Justin Sheehy is a scholar working on Computer Networks and Communications, Information Systems, Ecology, Signal Processing and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 243 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (2 papers), Avian ecology and behavior (2 papers), Distributed and Parallel Computing Systems (2 papers), Distributed systems and fault tolerance (2 papers), Cognitive Functions and Memory (1 paper), Epilepsy research and treatment (1 paper), Economic and Environmental Valuation (1 paper) and Age of Information Optimization (1 paper). The work is most often cited by research in Ecological Modeling (37 citations), Signal Processing (52 citations), Information Systems (79 citations), Ecology (86 citations) and Hardware and Architecture (22 citations). Justin Sheehy has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Caz M. Taylor, D. Ryan Norris, Joshua D. Guttman, John D. Ramsdell, Brian Sniffen, Peter Loscocco, Jonathan K. Millen, Amy L. Herzog, Kevin S. McCann and Steve Vinoski. Their work appears in journals such as Queue, Communications of the ACM, Conservation Letters, IEEE Internet Computing and International Journal of Information Security.
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.