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, Kenneth N. Brown, Mohammed Hasanuzzaman, L. Shalloo and Thomas W. Mastaglio 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

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Enabling All In-Edge Deep Learning: A Literature Review 2023 ·IEEE Access ·(unknown), Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully	27
2	Performance and Information Leakage in Splitfed Learning and Multi-Head Split Learning in Healthcare Data and Beyond 2022 ·Methods and Protocols ·(unknown), Chandra Thapa, Seyit Camtepe, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli	12
3	Enabling All In-Edge Deep Learning: A Literature Review 2022 ·arXiv (Cornell University) ·(unknown), (unknown), Chandra Thapa, Haithem Afli, Ted Scully	1
4	Facilitating high levels of wind penetration in a smart grid through the optimal utilization of battery storage in microgrids: An analysis of the trade-offs between economic performance and wind generation facilitation 2020 ·Energy Conversion and Management ·(unknown), Ted Scully, (unknown), Michael D. Murphy	14
5	Annual electricity consumption prediction and future expansion analysis on dairy farms using a support vector machine 2019 ·Applied Energy ·Philip Shine, Ted Scully, John Upton, Michael D. Murphy	42
6	Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms 2018 ·Computers and Electronics in Agriculture ·Philip Shine, Michael D. Murphy, John Upton, Ted Scully	61
7	Determination of optimal battery utilization to minimize operating costs for a grid-connected building with renewable energy sources 2018 ·Energy Conversion and Management ·(unknown), Ted Scully, (unknown), Michael D. Murphy	28
8	Comparing multiple linear regression and support vector machine models for predicting electricity consumption on pasture based dairy farms 2018 ·2018 Detroit, Michigan July 29 - August 1, 2018 ·Philip Shine, John Upton, Ted Scully, L. Shalloo, Michael D. Murphy	1
9	Multiple linear regression modelling of on-farm direct water and electricity consumption on pasture based dairy farms 2018 ·Computers and Electronics in Agriculture ·Philip Shine, Ted Scully, John Upton, Michael D. Murphy	42
10	Electricity & direct water consumption on Irish pasture based dairy farms: A statistical analysis 2017 ·Applied Energy ·Philip Shine, Ted Scully, John Upton, L. Shalloo, Michael D. Murphy	27
11	Application of multiple change point detection methods to large urban telecommunication networks 2017 ·(unknown), (unknown), Ted Scully	4
12	An Efficient Platform for the Automatic Extraction of Patterns in Native Code 2017 ·Scientific Programming ·(unknown), Francisco Ortín, Ted Scully	5
13	Genetic optimisation for a stochastic model for opportunistic maintenance planning of offshore wind farms 2016 ·(unknown), Paul Walsh, Thomas W. Mastaglio, Ted Scully	11
14	One-day-ahead cost optimisation for a multi-energy source building using a genetic algorithm 2016 ·(unknown), Michael D. Murphy, (unknown), Ted Scully	9
15	On the Importance of Spatial Perception for the Design of Adaptive User Interfaces 2016 ·(unknown), Ted Scully	10
16	Economic optimisation for a building with an integrated micro-grid connected to the national grid 2015 ·(unknown), Michael D. Murphy, (unknown), Ted Scully	6
17	Using simulation to support management of offshore renewable energy facilities 2015 ·(unknown), Ted Scully, (unknown)	1
18	Simplified Method to Derive the Kalman Filter Covariance Matrices to Predict Wind Speeds from a NWP Model 2014 ·Energy Procedia ·(unknown), Michael J. O’Mahony, Ted Scully	28
19	Wireless LAN load balancing with genetic algorithms 2009 ·Knowledge-Based Systems ·Ted Scully, Kenneth N. Brown	13
20	Coalition calculation in a dynamic agent environment 2004 ·Ted Scully, Michael G. Madden, Gerard J. Lyons	7

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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