Idris A. Eckley

5.0k total citations · 2 hit papers
62 papers, 3.0k citations indexed

About

Idris A. Eckley is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Idris A. Eckley has authored 62 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in Idris A. Eckley's work include Image and Signal Denoising Methods (15 papers), Time Series Analysis and Forecasting (13 papers) and Complex Systems and Time Series Analysis (12 papers). Idris A. Eckley is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Time Series Analysis and Forecasting (13 papers) and Complex Systems and Time Series Analysis (12 papers). Idris A. Eckley collaborates with scholars based in United Kingdom, Netherlands and United States. Idris A. Eckley's co-authors include Rebecca Killick, Paul Fearnhead, Guy P. Nason, Philip Jonathan, Timothy Park, Kevin Ewans, Hernando Ombao, Matthew A. Nunes, Richard E. Turner and Yves F. Atchadé and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and The Astrophysical Journal.

In The Last Decade

Idris A. Eckley

60 papers receiving 2.9k citations

Hit Papers

Optimal Detection of Changepoints With a Linear Computati... 2012 2026 2016 2021 2012 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Idris A. Eckley United Kingdom 14 470 456 355 306 281 62 3.0k
Rebecca Killick United Kingdom 15 369 0.8× 501 1.1× 273 0.8× 308 1.0× 221 0.8× 60 2.9k
Karen Kafadar United States 25 604 1.3× 314 0.7× 915 2.6× 181 0.6× 405 1.4× 118 4.4k
Jean‐Michel Poggi France 17 491 1.0× 496 1.1× 110 0.3× 536 1.8× 154 0.5× 47 3.5k
Erwan Scornet France 11 861 1.8× 305 0.7× 174 0.5× 240 0.8× 132 0.5× 18 3.4k
Gérard Biau France 12 796 1.7× 256 0.6× 227 0.6× 194 0.6× 151 0.5× 24 3.2k
M. Johnson United States 28 587 1.2× 272 0.6× 751 2.1× 225 0.7× 218 0.8× 113 5.0k
David Higdon United States 32 911 1.9× 625 1.4× 790 2.2× 253 0.8× 319 1.1× 71 5.3k
Jay L. Devore United States 16 488 1.0× 252 0.6× 217 0.6× 178 0.6× 113 0.4× 35 4.4k
Khosrow Dehnad United States 7 749 1.6× 430 0.9× 632 1.8× 285 0.9× 543 1.9× 12 4.3k
Giles Hooker United States 28 871 1.9× 354 0.8× 533 1.5× 574 1.9× 192 0.7× 93 4.1k

Countries citing papers authored by Idris A. Eckley

Since Specialization
Citations

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

Fields of papers citing papers by Idris A. Eckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Idris A. Eckley. 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 Idris A. Eckley. The network helps show where Idris A. Eckley may publish in the future.

Co-authorship network of co-authors of Idris A. Eckley

This figure shows the co-authorship network connecting the top 25 collaborators of Idris A. Eckley. A scholar is included among the top collaborators of Idris A. Eckley 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 Idris A. Eckley. Idris A. Eckley 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.
Yang, Ziyang, Idris A. Eckley, & Paul Fearnhead. (2024). A communication-efficient, online changepoint detection method for monitoring distributed sensor networks. Statistics and Computing. 34(3). 1 indexed citations
2.
Eckley, Idris A., et al.. (2024). Gamma-Ray Burst Detection with Poisson-FOCuS and Other Trigger Algorithms. The Astrophysical Journal. 962(2). 137–137. 1 indexed citations
3.
Eckley, Idris A., et al.. (2023). Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Journal of the American Statistical Association. 120(549). 7–19. 7 indexed citations
4.
Cho, Haeran, et al.. (2023). High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling. Journal of the American Statistical Association. 119(547). 2038–2050. 5 indexed citations
5.
Eckley, Idris A., et al.. (2022). Online non-parametric changepoint detection with application to monitoring operational performance of network devices. Computational Statistics & Data Analysis. 177. 107551–107551. 4 indexed citations
6.
Eckley, Idris A., et al.. (2022). Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring. The Annals of Applied Statistics. 16(2). 7 indexed citations
7.
Eckley, Idris A., et al.. (2022). A linear time method for the detection of collective and point anomalies. Statistical Analysis and Data Mining The ASA Data Science Journal. 15(4). 494–508. 13 indexed citations
8.
Race, Nicholas, Idris A. Eckley, Ajith Kumar Parlikad, et al.. (2022). Industry-Academia Research toward Future Network Intelligence: The NG-CDI Prosperity Partnership. IEEE Network. 36(1). 18–24. 3 indexed citations
9.
Eckley, Idris A., et al.. (2021). Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter. IEEE Transactions on Signal Processing. 70. 47–56. 23 indexed citations
10.
Hahn, Georg, Paul Fearnhead, & Idris A. Eckley. (2020). BayesProject: Fast computation of a projection direction for multivariate changepoint detection. Statistics and Computing. 30(6). 1691–1705. 5 indexed citations
11.
Park, Timothy, et al.. (2019). Multivariate Locally Stationary Wavelet Analysis with the mvLSW R Package. Journal of Statistical Software. 90(11). 4 indexed citations
12.
Fearnhead, Paul, et al.. (2016). A computationally efficient nonparametric approach for changepoint detection. Statistics and Computing. 27(5). 1293–1305. 89 indexed citations
13.
Taylor, Sarah L., Idris A. Eckley, & Matthew A. Nunes. (2016). Multivariate locally stationary 2D wavelet processes with application to colour texture analysis. Statistics and Computing. 27(4). 1129–1143. 4 indexed citations
14.
Aston, John A. D., et al.. (2014). The Uncertainty of Storm Season Changes: Quantifying the Uncertainty of Autocovariance Changepoints. Technometrics. 57(2). 194–206. 8 indexed citations
15.
Killick, Rebecca, Idris A. Eckley, & Philip Jonathan. (2013). A wavelet-based approach for detecting changes in second order structure within nonstationary time series. Electronic Journal of Statistics. 7(none). 26 indexed citations
16.
Mihaylova, Lyudmila, et al.. (2013). The effect of recovery algorithms on compressive sensing background subtraction. 1–6. 8 indexed citations
17.
Eckley, Idris A. & Guy P. Nason. (2011). LS2W: Implementing the Locally Stationary 2D Wavelet Process Approach in R. SHILAP Revista de lepidopterología.
18.
Killick, Rebecca, Idris A. Eckley, Philip Jonathan, & Kevin Ewans. (2010). Detection of changes in the characteristics of oceanographic time-series using changepoint analysis.. Lancaster EPrints (Lancaster University). 6 indexed citations
19.
Eckley, Idris A., et al.. (2009). Technical appendix to locally stationary wavelet fields with application to the modelling and analysis of image texture.. Lancaster EPrints (Lancaster University). 58(6). 858–863. 2 indexed citations
20.
Hand, David J., et al.. (2004). A MULTICLASS EXTENSION TO THE BROWNBOOST ALGORITHM. International Journal of Pattern Recognition and Artificial Intelligence. 18(5). 905–931. 2 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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