Ted Scully
Impact in
- Animal Science and Zoology top 10%
- Effects of Environmental Stressors on Livestock
Papers in
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- Energy Load and Power Forecasting 4
- Smart Grid Energy Management 4
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- Age of Information Optimization 2
- Co-authors
- Michael D. Murphy (9 shared papers)Philip Shine (5 shared papers)John Upton (5 shared papers)Kenneth N. Brown (2 shared papers)Michael J. O’Mahony (1 shared paper)Chandra Thapa (3 shared papers)Mohammed Hasanuzzaman (3 shared papers)Haithem Afli (3 shared papers)
In The Last Decade
Ted Scully
23 papers receiving 374 citations
Peers
Comparison fields: 5 of 86
- Energy Engineering and Power Technology 18
- Animal Science and Zoology 46
- Building and Construction 46
- Environmental Engineering 39
- Electrical and Electronic Engineering 153
Countries citing papers authored by Ted Scully
This map shows the geographic impact of Ted Scully'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 Ted Scully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Scully more than expected).
Fields of papers citing papers by Ted Scully
This network shows the impact of papers produced by Ted Scully. 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 Ted Scully. The network helps show where Ted Scully may publish in the future.
Co-authors
The 17 scholars most cited alongside Ted Scully, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 65 | |
| 2 | 2019 | 45 | |
| 3 | 2018 | 43 | |
| 4 | 2023 | 32 | |
| 5 | 2014 | 30 | |
| 6 | 2018 | 29 | |
| 7 | 2017 | 28 | |
| 8 | 2009 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2004 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2009 | 7 | |
| 16 | 2015 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2023 | 1 | |
| 20 | 2018 | 1 |
About Ted Scully
Ted Scully is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Animal Science and Zoology and Ecology, having authored 24 papers that have together received 383 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (4 papers), Effects of Environmental Stressors on Livestock (4 papers), Smart Grid Energy Management (4 papers), Microgrid Control and Optimization (3 papers), Agriculture Sustainability and Environmental Impact (3 papers), Water-Energy-Food Nexus Studies (2 papers), Age of Information Optimization (2 papers) and Auction Theory and Applications (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (18 citations), Animal Science and Zoology (46 citations), Building and Construction (46 citations), Environmental Engineering (39 citations) and Electrical and Electronic Engineering (153 citations). Ted Scully has collaborated with scholars based in Ireland, Australia and Spain. Frequent co-authors include Michael D. Murphy, Philip Shine, John Upton, Kenneth N. Brown, Michael J. O’Mahony, Chandra Thapa, Mohammed Hasanuzzaman, Haithem Afli, L. Shalloo and Michael G. Madden. Their work appears in journals such as Energy Conversion and Management, Computers and Electronics in Agriculture, Applied Energy, Knowledge-Based Systems and IEEE Access.
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.