Ted Scully

542 total citations
20 papers, 349 citations indexed

About

Ted Scully is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Animal Science and Zoology. According to data from OpenAlex, Ted Scully has authored 20 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 4 papers in Control and Systems Engineering and 4 papers in Animal Science and Zoology. Recurrent topics in Ted Scully's work include Smart Grid Energy Management (4 papers), Energy Load and Power Forecasting (4 papers) and Effects of Environmental Stressors on Livestock (4 papers). Ted Scully is often cited by papers focused on Smart Grid Energy Management (4 papers), Energy Load and Power Forecasting (4 papers) and Effects of Environmental Stressors on Livestock (4 papers). Ted Scully collaborates with scholars based in Ireland, Australia and Spain. Ted Scully's co-authors include Michael D. Murphy, Philip Shine, John Upton, Michael J. O’Mahony, Haithem Afli, Chandra Thapa, Mohammed Hasanuzzaman, Kenneth N. Brown, L. Shalloo and Paul Walsh and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and IEEE Access.

In The Last Decade

Ted Scully

20 papers receiving 338 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ted Scully 140 62 44 43 38 20 349
Rodrigo García 101 0.7× 63 1.0× 77 1.8× 92 2.1× 41 1.1× 40 548
Juan Yan 231 1.6× 122 2.0× 33 0.8× 13 0.3× 44 1.2× 25 532
Jiaxing Xie 134 1.0× 59 1.0× 4 0.1× 29 0.7× 38 1.0× 31 466
Yifei Li 39 0.3× 44 0.7× 14 0.3× 31 0.7× 38 1.0× 26 421
Hsin‐Chuan Chen 161 1.1× 37 0.6× 5 0.1× 25 0.6× 13 0.3× 54 369
Dae‐Heon Park 139 1.0× 60 1.0× 17 0.4× 30 0.7× 24 0.6× 25 668
Xiaoying Tian 119 0.8× 57 0.9× 15 0.3× 23 0.5× 22 0.6× 32 421
Melchizedek Alipio 115 0.8× 28 0.5× 12 0.3× 16 0.4× 29 0.8× 48 528
Adela Pagès‐Bernaus 70 0.5× 10 0.2× 13 0.3× 23 0.5× 48 1.3× 27 311

Countries citing papers authored by Ted Scully

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ted Scully

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Scully. A scholar is included among the top collaborators of Ted Scully based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ted Scully. Ted Scully is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hasanuzzaman, Mohammed, et al.. (2023). Enabling All In-Edge Deep Learning: A Literature Review. IEEE Access. 11. 3431–3460. 27 indexed citations
2.
Thapa, Chandra, et al.. (2022). Enabling All In-Edge Deep Learning: A Literature Review. arXiv (Cornell University). 1 indexed citations
3.
Thapa, Chandra, et al.. (2022). Performance and Information Leakage in Splitfed Learning and Multi-Head Split Learning in Healthcare Data and Beyond. Methods and Protocols. 5(4). 60–60. 12 indexed citations
4.
5.
Shine, Philip, Ted Scully, John Upton, & Michael D. Murphy. (2019). Annual electricity consumption prediction and future expansion analysis on dairy farms using a support vector machine. Applied Energy. 250. 1110–1119. 42 indexed citations
6.
Shine, Philip, Michael D. Murphy, John Upton, & Ted Scully. (2018). Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms. Computers and Electronics in Agriculture. 150. 74–87. 61 indexed citations
7.
Scully, Ted, et al.. (2018). Determination of optimal battery utilization to minimize operating costs for a grid-connected building with renewable energy sources. Energy Conversion and Management. 174. 157–174. 28 indexed citations
8.
Shine, Philip, Ted Scully, John Upton, & Michael D. Murphy. (2018). Multiple linear regression modelling of on-farm direct water and electricity consumption on pasture based dairy farms. Computers and Electronics in Agriculture. 148. 337–346. 42 indexed citations
9.
Shine, Philip, John Upton, Ted Scully, L. Shalloo, & Michael D. Murphy. (2018). Comparing multiple linear regression and support vector machine models for predicting electricity consumption on pasture based dairy farms. 2018 Detroit, Michigan July 29 - August 1, 2018. 1 indexed citations
10.
Shine, Philip, Ted Scully, John Upton, L. Shalloo, & Michael D. Murphy. (2017). Electricity & direct water consumption on Irish pasture based dairy farms: A statistical analysis. Applied Energy. 210. 529–537. 27 indexed citations
11.
12.
Ortín, Francisco, et al.. (2017). An Efficient Platform for the Automatic Extraction of Patterns in Native Code. Scientific Programming. 2017. 1–16. 5 indexed citations
13.
14.
Murphy, Michael D., et al.. (2016). One-day-ahead cost optimisation for a multi-energy source building using a genetic algorithm. 1–6. 9 indexed citations
15.
Scully, Ted, et al.. (2016). On the Importance of Spatial Perception for the Design of Adaptive User Interfaces. 70–79. 10 indexed citations
16.
Scully, Ted, et al.. (2015). Using simulation to support management of offshore renewable energy facilities. 1–8. 1 indexed citations
17.
Murphy, Michael D., et al.. (2015). Economic optimisation for a building with an integrated micro-grid connected to the national grid. 140–144. 6 indexed citations
18.
O’Mahony, Michael J., et al.. (2014). Simplified Method to Derive the Kalman Filter Covariance Matrices to Predict Wind Speeds from a NWP Model. Energy Procedia. 62. 676–685. 28 indexed citations
19.
Scully, Ted & Kenneth N. Brown. (2009). Wireless LAN load balancing with genetic algorithms. Knowledge-Based Systems. 22(7). 529–534. 13 indexed citations
20.
Scully, Ted, Michael G. Madden, & Gerard J. Lyons. (2004). Coalition calculation in a dynamic agent environment. 93–93. 7 indexed citations

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.

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