E.M. Davidson

2.8k total citations · 1 hit paper
51 papers, 2.1k citations indexed

About

E.M. Davidson is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, E.M. Davidson has authored 51 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 22 papers in Control and Systems Engineering and 18 papers in Artificial Intelligence. Recurrent topics in E.M. Davidson's work include Multi-Agent Systems and Negotiation (13 papers), Optimal Power Flow Distribution (12 papers) and Power Systems and Technologies (12 papers). E.M. Davidson is often cited by papers focused on Multi-Agent Systems and Negotiation (13 papers), Optimal Power Flow Distribution (12 papers) and Power Systems and Technologies (12 papers). E.M. Davidson collaborates with scholars based in United Kingdom, United States and Greece. E.M. Davidson's co-authors include S.D.J. McArthur, Victoria M. Catterson, Aris Dimeas, Ferdinanda Ponci, Nikos Hatziargyriou, Toshihisa Funabashi, G.W. Ault, Toshihisa Funabashi, Michael J. Dolan and J.R. McDonald and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and Electric Power Systems Research.

In The Last Decade

E.M. Davidson

50 papers receiving 2.0k citations

Hit Papers

Multi-Agent Systems for Power Engineering Applications—Pa... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E.M. Davidson United Kingdom 18 1.6k 1.3k 353 309 115 51 2.1k
Aris Dimeas Greece 21 4.1k 2.5× 3.7k 2.8× 413 1.2× 265 0.9× 122 1.1× 60 4.7k
Haochen Hua China 21 1.1k 0.7× 708 0.5× 289 0.8× 138 0.4× 51 0.4× 79 1.7k
Filip Andrén Austria 18 878 0.5× 950 0.7× 205 0.6× 94 0.3× 69 0.6× 63 1.3k
Noel N. Schulz United States 28 2.5k 1.5× 1.8k 1.4× 171 0.5× 178 0.6× 54 0.5× 168 2.9k
Mohammad Rasoul Narimani Iran 29 2.5k 1.5× 1.8k 1.3× 392 1.1× 558 1.8× 40 0.3× 65 3.4k
Dilan Sahin Türkiye 8 2.4k 1.5× 2.0k 1.5× 859 2.4× 225 0.7× 31 0.3× 8 3.1k
Shahab Bahrami Canada 25 2.7k 1.7× 1.3k 0.9× 151 0.4× 100 0.3× 88 0.8× 50 2.9k
Mehmet H. Cintuglu United States 17 1.2k 0.7× 1.3k 1.0× 303 0.9× 144 0.5× 19 0.2× 35 1.6k
Jorge Valenzuela United States 23 1.2k 0.7× 395 0.3× 175 0.5× 139 0.4× 79 0.7× 58 1.5k
Gulnara Zhabelova Sweden 13 769 0.5× 745 0.6× 185 0.5× 89 0.3× 41 0.4× 31 1.2k

Countries citing papers authored by E.M. Davidson

Since Specialization
Citations

This map shows the geographic impact of E.M. Davidson'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 E.M. Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.M. Davidson more than expected).

Fields of papers citing papers by E.M. Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.M. Davidson. 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 E.M. Davidson. The network helps show where E.M. Davidson may publish in the future.

Co-authorship network of co-authors of E.M. Davidson

This figure shows the co-authorship network connecting the top 25 collaborators of E.M. Davidson. A scholar is included among the top collaborators of E.M. Davidson 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 E.M. Davidson. E.M. Davidson 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.
Dolan, Michael J., et al.. (2015). Assessment of a new constraint satisfaction problem based active demand control approach to address distribution network constraints. IET Generation Transmission & Distribution. 9(15). 2363–2373. 2 indexed citations
2.
Dolan, Michael J., E.M. Davidson, Ivana Kockar, G.W. Ault, & S.D.J. McArthur. (2013). Reducing Distributed Generator Curtailment Through Active Power Flow Management. IEEE Transactions on Smart Grid. 5(1). 149–157. 34 indexed citations
3.
Davidson, E.M., et al.. (2013). Flexible Model-Based Alarm Processing for Protection Performance Assessment and Incident Identification. IEEE Transactions on Power Systems. 28(3). 2584–2591. 14 indexed citations
4.
Catterson, Victoria M., E.M. Davidson, & S.D.J. McArthur. (2011). Embedded Intelligence for Electrical Network Operation and Control. IEEE Intelligent Systems. 26(2). 38–45. 16 indexed citations
5.
Catterson, Victoria M., E.M. Davidson, & S.D.J. McArthur. (2011). Practical applications of multi‐agent systems in electric power systems. European Transactions on Electrical Power. 22(2). 235–252. 32 indexed citations
6.
Davidson, E.M., et al.. (2011). A case for losses minimisation in active network management systems. 1 indexed citations
7.
Ault, Graham, et al.. (2010). Minimisation of distribution network real power losses using a smart grid Active Network Management System. International Universities Power Engineering Conference. 1–6. 6 indexed citations
8.
Dolan, Michael J., E.M. Davidson, G.W. Ault, et al.. (2009). Using optimal power flow for management of power flows in active distribution networks within thermal constraints. International Universities Power Engineering Conference. 1–5. 17 indexed citations
9.
Davidson, E.M., Michael J. Dolan, S.D.J. McArthur, & G.W. Ault. (2009). The Use of Constraint Programming for the Autonomous Management of Power Flows. 1–7. 26 indexed citations
10.
11.
Taylor, Phil, Tao Xu, S.D.J. McArthur, et al.. (2008). Integrating voltage control and power flow management in AuRA-NMS. 47–47. 17 indexed citations
12.
Davidson, E.M. & S.D.J. McArthur. (2007). Exploiting Multi-agent System Technology within an Autonomous Regional Active Network Management System. 1–6. 30 indexed citations
13.
McArthur, S.D.J., E.M. Davidson, Victoria M. Catterson, et al.. (2007). Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges. IEEE Transactions on Power Systems. 22(4). 1743–1752. 820 indexed citations breakdown →
14.
Davidson, E.M., et al.. (2006). Applying Multi-Agent System Technology in Practice: Automated Management and Analysis of SCADA and Digital Fault Recorder Data. IEEE Transactions on Power Systems. 21(2). 559–567. 140 indexed citations
15.
McArthur, S.D.J. & E.M. Davidson. (2006). Automated post-fault diagnosis of power system disturbances. 2006 IEEE Power Engineering Society General Meeting. 6 pp.–6 pp.. 8 indexed citations
16.
Catterson, Victoria M., E.M. Davidson, & S.D.J. McArthur. (2006). Issues in Integrating Existing Multi-Agent Systems for Power Engineering Applications. 396–401. 32 indexed citations
17.
McArthur, S.D.J., E.M. Davidson, John A. Hossack, & J.R. McDonald. (2004). Automating power system fault diagnosis through multi-agent system technology. 8 pp.–8 pp.. 49 indexed citations
18.
McArthur, S.D.J., et al.. (2003). Toward a model integration methodology for advanced applications in power engineering. IEEE Transactions on Power Systems. 18(3). 1205–1206. 6 indexed citations
19.
Davidson, E.M., S.D.J. McArthur, & J.R. McDonald. (2003). A toolset for applying model-based reasoning techniques to diagnostics for power systems protection. IEEE Transactions on Power Systems. 18(2). 680–687. 22 indexed citations
20.
Davidson, E.M., S.D.J. McArthur, & J.R. McDonald. (2001). Development of a model-based reasoning tool-set for diagnostic applications in power systems. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 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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