Gordon J. Ross

2.8k total citations · 2 hit papers
25 papers, 1.6k citations indexed

About

Gordon J. Ross is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Gordon J. Ross has authored 25 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Statistics, Probability and Uncertainty and 5 papers in Statistics and Probability. Recurrent topics in Gordon J. Ross's work include Advanced Statistical Process Monitoring (7 papers), Advanced Statistical Methods and Models (4 papers) and Scientific Measurement and Uncertainty Evaluation (3 papers). Gordon J. Ross is often cited by papers focused on Advanced Statistical Process Monitoring (7 papers), Advanced Statistical Methods and Models (4 papers) and Scientific Measurement and Uncertainty Evaluation (3 papers). Gordon J. Ross collaborates with scholars based in United Kingdom, United States and Australia. Gordon J. Ross's co-authors include David C. Hoaglin, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand, Emiliano De Cristofaro, Gianluca Stringhini, Enrico Mariconti, Panagiotis Andriotis, Lucky Onwuzurike and Apostolos Pyrgelis and has published in prestigious journals such as Technometrics, Annals of Tourism Research and Bulletin of the Seismological Society of America.

In The Last Decade

Gordon J. Ross

23 papers receiving 1.5k citations

Hit Papers

Applications, Basics and Computing of Exploratory Data An... 1983 2026 1997 2011 1983 2019 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Applications, Basics and Computing of Exploratory Data Analysis.
    1983 629 citations Gordon J. Ross et al. Journal of the Royal Statistical Society Series C (Applied Statistics) profile →
  2. MaMaDroid
    2019 209 citations Enrico Mariconti, Emiliano De Cristofaro et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gordon J. Ross United Kingdom 11 486 311 257 198 159 25 1.6k
Kevin B. Korb Australia 21 1.3k 2.6× 166 0.5× 150 0.6× 80 0.4× 182 1.1× 92 2.8k
Antonio Salmerón Spain 19 835 1.7× 149 0.5× 44 0.2× 120 0.6× 143 0.9× 88 1.6k
David N. Reshef United States 6 508 1.0× 106 0.3× 71 0.3× 117 0.6× 36 0.2× 6 2.5k
Uffe Kjærulff Denmark 12 550 1.1× 90 0.3× 75 0.3× 49 0.2× 187 1.2× 28 1.1k
Bill Fulkerson United States 9 1.2k 2.5× 194 0.6× 79 0.3× 126 0.6× 41 0.3× 15 2.5k
Markus Goldstein Germany 10 1.1k 2.3× 286 0.9× 558 2.2× 79 0.4× 42 0.3× 20 1.8k
G. J. Janacek United Kingdom 18 492 1.0× 372 1.2× 124 0.5× 146 0.7× 124 0.8× 34 2.4k
Joe Whittaker United Kingdom 18 708 1.5× 185 0.6× 55 0.2× 509 2.6× 45 0.3× 57 2.1k
Pieter Bastiaan Ober Netherlands 10 166 0.3× 163 0.5× 64 0.2× 96 0.5× 91 0.6× 27 1.6k
Thomas Bartz–Beielstein Germany 21 1.0k 2.1× 88 0.3× 119 0.5× 40 0.2× 76 0.5× 104 2.3k

Countries citing papers authored by Gordon J. Ross

Since Specialization
Citations

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

Fields of papers citing papers by Gordon J. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon J. Ross. 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 Gordon J. Ross. The network helps show where Gordon J. Ross may publish in the future.

Co-authorship network of co-authors of Gordon J. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon J. Ross. A scholar is included among the top collaborators of Gordon J. Ross 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 Gordon J. Ross. Gordon J. Ross 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.
Manolopoulou, Ioanna, et al.. (2024). Bayesian hierarchical modelling of sparse count processes in retail analytics. The Annals of Applied Statistics. 18(2).
2.
Ross, Gordon J., et al.. (2023). COVID-era forecasting: Google trends and window and model averaging. Annals of Tourism Research. 103. 103660–103660. 4 indexed citations
3.
Ross, Gordon J., et al.. (2022). Semiparametric Bayesian forecasting of SpatioTemporal earthquake occurrences. The Annals of Applied Statistics. 16(4). 6 indexed citations
4.
Ross, Gordon J.. (2021). Bayesian Estimation of the ETAS Model for Earthquake Occurrences. Bulletin of the Seismological Society of America. 111(3). 1473–1480. 26 indexed citations
5.
Ross, Gordon J.. (2020). Self-excitation in the solar flare waiting time distribution. Physica A Statistical Mechanics and its Applications. 556. 124775–124775. 2 indexed citations
6.
Ross, Gordon J.. (2019). Tracking the Evolution of Literary Style via Dirichlet–Multinomial Change Point Regression. Journal of the Royal Statistical Society Series A (Statistics in Society). 183(1). 149–167. 4 indexed citations
7.
Ross, Gordon J., et al.. (2018). Dirichlet Process Mixtures of Order Statistics with Applications to Retail Analytics. Journal of the Royal Statistical Society Series C (Applied Statistics). 68(1). 3–28. 3 indexed citations
8.
Ross, Gordon J., et al.. (2018). Inference for ETAS models with non-Poissonian mainshock arrival times. Statistics and Computing. 29(5). 915–931. 7 indexed citations
9.
Mariconti, Enrico, Jeremiah Onaolapo, Gordon J. Ross, & Gianluca Stringhini. (2017). The Cause of All Evils: Assessing Causality Between User Actions and Malware Activity. Edinburgh Research Explorer. 1 indexed citations
10.
Pyrgelis, Apostolos, Emiliano De Cristofaro, & Gordon J. Ross. (2016). Privacy-friendly mobility analytics using aggregate location data. 1–10. 14 indexed citations
11.
Mariconti, Enrico, Jeremiah Onaolapo, Gordon J. Ross, & Gianluca Stringhini. (2016). What's Your Major Threat? On the Differences between the Network Behavior of Targeted and Commodity Malware. 45. 599–608. 3 indexed citations
12.
Ross, Gordon J.. (2016). Sequential Monitoring of a Bernoulli Sequence when the Pre-change Parameter is Unknown. 8 indexed citations
13.
Ross, Gordon J.. (2015). Parametric and Nonparametric Sequential Change Detection in R: The cpm Package. Journal of Statistical Software. 66(3). 141 indexed citations
14.
Ross, Gordon J.. (2014). Dynamic multifactor clustering of financial networks. Physical Review E. 89(2). 22809–22809. 12 indexed citations
15.
Ross, Gordon J. & Niall M. Adams. (2013). Two nonparametric control charts for detecting arbitrary distribution changes. Quality Engineering. 58(5). 435–436. 8 indexed citations
16.
Ross, Gordon J. & Niall M. Adams. (2012). Two Nonparametric Control Charts for Detecting Arbitrary Distribution Changes. Journal of Quality Technology. 44(2). 102–116. 104 indexed citations
17.
Ross, Gordon J., Dimitris K. Tasoulis, & Niall M. Adams. (2011). Nonparametric Monitoring of Data Streams for Changes in Location and Scale. Technometrics. 53(4). 379–389. 147 indexed citations
18.
Ross, Gordon J., Niall M. Adams, Dimitris K. Tasoulis, & David J. Hand. (2011). Exponentially weighted moving average charts for detecting concept drift. Pattern Recognition Letters. 33(2). 191–198. 250 indexed citations
19.
Ross, Gordon J., Dimitris K. Tasoulis, & Niall M. Adams. (2009). Online annotation and prediction for regime switching data streams. 1501–1505. 11 indexed citations
20.
Ross, Gordon J.. (1975). Rapid techniques for automatic identification. Rothamsted Repository (Rothamsted Repository). 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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