Luke M. Davis

8 total papers · 512 total citations
3 papers, 312 citations indexed

About

Luke M. Davis is a scholar working on Signal Processing, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Luke M. Davis has authored 3 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Signal Processing, 2 papers in Artificial Intelligence and 2 papers in Economics and Econometrics. Recurrent topics in Luke M. Davis's work include Anomaly Detection Techniques and Applications (2 papers), Complex Systems and Time Series Analysis (2 papers) and Time Series Analysis and Forecasting (2 papers). Luke M. Davis is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Complex Systems and Time Series Analysis (2 papers) and Time Series Analysis and Forecasting (2 papers). Luke M. Davis collaborates with scholars based in United Kingdom. Luke M. Davis's co-authors include Anthony Bagnall, Jason Lines, Jon Hills, Barry-John Theobald and Andoni P. Toms and has published in prestigious journals such as International Journal of Neural Systems.

In The Last Decade

Luke M. Davis

3 papers receiving 306 citations

Author Peers

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

Author Last Decade Papers Cites
Luke M. Davis 254 192 88 31 22 3 312
Vasundhara Puttagunta 215 0.8× 148 0.8× 80 0.9× 27 0.9× 21 1.0× 5 309
Michael Flynn 185 0.7× 186 1.0× 35 0.4× 24 0.8× 23 1.0× 2 324
David Hallac 117 0.5× 170 0.9× 36 0.4× 23 0.7× 13 0.6× 6 344
Zhihan Yue 184 0.7× 203 1.1× 16 0.2× 32 1.0× 46 2.1× 4 341
Tianmeng Yang 184 0.7× 207 1.1× 16 0.2× 33 1.1× 46 2.1× 5 343
Jürgen Beringer 98 0.4× 265 1.4× 14 0.2× 76 2.5× 12 0.5× 5 308
Granville Tunnicliffe‐Wilson 63 0.2× 72 0.4× 76 0.9× 23 0.7× 23 1.0× 4 338
Qianggang Ding 78 0.3× 69 0.4× 40 0.5× 34 1.1× 120 5.5× 7 232
Razvan-Gabriel Cirstea 164 0.6× 101 0.5× 13 0.1× 23 0.7× 63 2.9× 7 290
Sebastian Schmidl 148 0.6× 205 1.1× 10 0.1× 12 0.4× 13 0.6× 6 249

Countries citing papers authored by Luke M. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Luke M. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke M. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Luke M. Davis. A scholar is included among the top collaborators of Luke M. Davis 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 Luke M. Davis. Luke M. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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