Damien Fay

741 total citations
39 papers, 454 citations indexed

About

Damien Fay is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Damien Fay has authored 39 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Statistical and Nonlinear Physics and 10 papers in Computer Networks and Communications. Recurrent topics in Damien Fay's work include Complex Network Analysis Techniques (11 papers), Energy Load and Power Forecasting (8 papers) and Fault Detection and Control Systems (4 papers). Damien Fay is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Energy Load and Power Forecasting (8 papers) and Fault Detection and Control Systems (4 papers). Damien Fay collaborates with scholars based in United Kingdom, Ireland and Germany. Damien Fay's co-authors include John V. Ringwood, Bogdan Gabryś, Andrew W. Moore, Hamed Haddadi, Jérôme Kunegis, Steve Uhlig, Kenneth N. Brown, Richard Mortier, Almerima Jamakovic and Marissa Condon and has published in prestigious journals such as IEEE Transactions on Power Systems, Neurocomputing and IEEE/ACM Transactions on Networking.

In The Last Decade

Damien Fay

36 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damien Fay United Kingdom 11 134 114 100 97 51 39 454
Abdul Jabbar United States 7 74 0.6× 40 0.4× 178 1.8× 55 0.6× 8 0.2× 20 375
Huimin Huang China 11 20 0.1× 178 1.6× 53 0.5× 123 1.3× 33 0.6× 22 439
Ye Deng China 13 28 0.2× 183 1.6× 150 1.5× 39 0.4× 6 0.1× 29 351
Christian Thiemann Germany 7 48 0.4× 155 1.4× 42 0.4× 23 0.2× 212 4.2× 14 828
Nayer Wanas Egypt 12 38 0.3× 33 0.3× 38 0.4× 228 2.4× 11 0.2× 34 447
Yantao Zhou China 13 69 0.5× 21 0.2× 66 0.7× 39 0.4× 14 0.3× 35 456
Thanuka L. Wickramarathne United States 9 50 0.4× 71 0.6× 56 0.6× 124 1.3× 14 0.3× 32 314

Countries citing papers authored by Damien Fay

Since Specialization
Citations

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

Fields of papers citing papers by Damien Fay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Damien Fay. 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 Damien Fay. The network helps show where Damien Fay may publish in the future.

Co-authorship network of co-authors of Damien Fay

This figure shows the co-authorship network connecting the top 25 collaborators of Damien Fay. A scholar is included among the top collaborators of Damien Fay 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 Damien Fay. Damien Fay 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.
Fay, Damien, Hamed Haddadi, Steve Uhlig, et al.. (2021). Weighted spectral distribution. CL Technical Reports. 1 indexed citations
2.
Gabryś, Bogdan, et al.. (2015). On sequences of different adaptive mechanisms in non-stationary regression problems. 1–8. 6 indexed citations
3.
Fay, Damien, Andrew W. Moore, Kenneth N. Brown, Michele Filosi, & Giuseppe Jurman. (2014). Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation. Journal of Complex Networks. 3(1). 52–83. 10 indexed citations
4.
Kunegis, Jérôme, Damien Fay, & Christian Bauckhage. (2012). Spectral evolution in dynamic networks. Knowledge and Information Systems. 37(1). 1–36. 8 indexed citations
5.
Kunegis, Jérôme, et al.. (2012). Diversity dynamics in online networks. 255–264. 1 indexed citations
6.
Fay, Damien, Kenneth N. Brown, & Liam O’Toole. (2012). Lies, damn lies and preferences. 184–191. 2 indexed citations
7.
Fay, Damien, et al.. (2011). On the Application of Active Learning and Gaussian Processes in Postcryopreservation Cell Membrane Integrity Experiments. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(3). 846–856. 3 indexed citations
8.
Fay, Damien, Hamed Haddadi, Steve Uhlig, et al.. (2011). Discriminating graphs through spectral projections. Computer Networks. 55(15). 3458–3468. 9 indexed citations
9.
Fay, Damien, Hamed Haddadi, Andrew W. Moore, et al.. (2010). A weighted spectrum metric for comparison of internet topologies. ACM SIGMETRICS Performance Evaluation Review. 37(3). 67–72. 2 indexed citations
10.
Kunegis, Jérôme, Damien Fay, & Christian Bauckhage. (2010). Network growth and the spectral evolution model. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 739–748. 23 indexed citations
11.
Zhang, Ying, Damien Fay, Liam Kilmartin, & Andrew W. Moore. (2010). A Garch-based adaptive playout delay algorithm for VoIP. Computer Networks. 54(17). 3108–3122. 3 indexed citations
12.
Haddadi, Hamed, Damien Fay, Almerima Jamakovic, et al.. (2009). On the importance of local connectivity for Internet topology models. TNO Repository. 1–8. 16 indexed citations
13.
Fay, Damien, Hamed Haddadi, Andrew Thomason, et al.. (2009). Weighted Spectral Distribution for Internet Topology Analysis: Theory and Applications. IEEE/ACM Transactions on Networking. 18(1). 164–176. 51 indexed citations
14.
Canini, Marco, Damien Fay, David J. Miller, Andrew W. Moore, & Raffaele Bolla. (2009). Per flow packet sampling for high-speed network monitoring. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1–10. 25 indexed citations
15.
Haddadi, Hamed, Damien Fay, Almerima Jamakovic, et al.. (2008). Beyond Node Degree: Evaluating AS Topology Models. Queen Mary Research Online (Queen Mary University of London). 9 indexed citations
16.
Fay, Damien & John V. Ringwood. (2007). A WAVELET TRANSFER MODEL FOR TIME SERIES FORECASTING. International Journal of Bifurcation and Chaos. 17(10). 3691–3696. 9 indexed citations
17.
Khadir, Mohamed Tarek, et al.. (2004). Forecasting Electricity Load and Prices in an Algerian Deregulated Market. MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth). 1 indexed citations
18.
Fay, Damien, John V. Ringwood, Marissa Condon, & Michael A. Kelly. (2003). 24-h electrical load data—a sequential or partitioned time series?. Neurocomputing. 55(3-4). 469–498. 32 indexed citations
19.
Fay, Damien, John V. Ringwood, Marissa Condon, & Michael A. Kelly. (2002). Establishing a Solution Strategy for Electrical Demand Forecasting in Ireland. Maynooth University ePrints and eTheses Archive (Maynooth University). 5 indexed citations
20.
Fay, Damien, John V. Ringwood, Marissa Condon, & Michael A. Kelly. (2000). A comparison of linear and neural parallel time series models for short-term load forecasting in the Republic of Ireland. Maynooth University ePrints and eTheses Archive (Maynooth University). 3 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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