Axel Gandy

10.2k total citations · 1 hit paper
45 papers, 727 citations indexed

About

Axel Gandy is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Axel Gandy has authored 45 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 9 papers in Finance. Recurrent topics in Axel Gandy's work include Statistical Methods and Inference (14 papers), COVID-19 epidemiological studies (7 papers) and Advanced Statistical Process Monitoring (6 papers). Axel Gandy is often cited by papers focused on Statistical Methods and Inference (14 papers), COVID-19 epidemiological studies (7 papers) and Advanced Statistical Process Monitoring (6 papers). Axel Gandy collaborates with scholars based in United Kingdom, Germany and United States. Axel Gandy's co-authors include Uwe Jensen, Luitgard Anna Maria Veraart, David Brayshaw, Swapnil Mishra, Seth Flaxman, H. Juliette T. Unwin, Thomas A. Mellan, Daniel J. Laydon, Katy A. M. Gaythorpe and Christl A. Donnelly and has published in prestigious journals such as PLoS ONE, Management Science and Journal of Virology.

In The Last Decade

Axel Gandy

42 papers receiving 704 citations

Hit Papers

align trajectories

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.

Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe

2020 307 citations Seth Flaxman, Swapnil Mishra et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Axel Gandy United Kingdom	13	264	175	128	108	80	45	727
Ruiyan Luo United States	18	518 2.0×	263 1.5×	233 1.8×	109 1.0×	191 2.4×	77	1.4k
Puneet Kumar Gupta India	13	117 0.4×	100 0.6×	84 0.7×	131 1.2×	36 0.5×	40	790
Nicoleta Serban United States	19	69 0.3×	189 1.1×	21 0.2×	85 0.8×	71 0.9×	75	987
Leonardo Soares Bastos Brazil	21	292 1.1×	105 0.6×	572 4.5×	51 0.5×	324 4.0×	91	1.8k
Kim-Hung Pho Vietnam	11	189 0.7×	116 0.7×	30 0.2×	77 0.7×	32 0.4×	27	487
Mustapha Rachdi France	17	146 0.6×	118 0.7×	48 0.4×	571 5.3×	48 0.6×	80	862
Zhiming Li China	15	81 0.3×	55 0.3×	15 0.1×	95 0.9×	18 0.2×	81	731
Benjamin Armbruster United States	14	85 0.3×	54 0.3×	190 1.5×	21 0.2×	179 2.2×	28	589
Hong Ge United Kingdom	10	452 1.7×	211 1.2×	179 1.4×	34 0.3×	129 1.6×	25	1.1k
Lan Wang China	18	53 0.2×	67 0.4×	479 3.7×	258 2.4×	436 5.5×	72	1.3k

Countries citing papers authored by Axel Gandy

Since Specialization

Citations

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

Fields of papers citing papers by Axel Gandy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Axel Gandy

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

All Works

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20 of 20 papers shown

1.

Gandy, Axel, et al.. (2025). A proper concordance index for models with crossing hazards. Scandinavian Journal of Statistics. 52(4). 1479–1504.

2.

Gandy, Axel, et al.. (2023). Using a latent Hawkes process for epidemiological modelling. PLoS ONE. 18(3). e0281370–e0281370. 2 indexed citations

3.

Bhatt, Samir, et al.. (2023). Semi-mechanistic Bayesian modelling of COVID-19 with renewal processes. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(4). 601–615. 8 indexed citations

4.

Mishra, Swapnil, Daniel J. Laydon, Harrison Zhu, et al.. (2022). A COVID-19 Model for Local Authorities of the United Kingdom. Journal of the Royal Statistical Society Series A (Statistics in Society). 185(Supplement_1). S86–S95. 6 indexed citations

5.

Barahona, Mauricio, et al.. (2022). BART-based inference for Poisson processes. Computational Statistics & Data Analysis. 180. 107658–107658. 2 indexed citations

6.

Laydon, Daniel J., Swapnil Mishra, Wes Hinsley, et al.. (2021). Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns. BMJ Open. 11(4). e050346–e050346. 15 indexed citations

7.

Mishra, Swapnil, James A. Scott, Daniel J. Laydon, et al.. (2021). Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling. Scientific Reports. 11(1). 16342–16342. 36 indexed citations

8.

Ding, Dong, Axel Gandy, & Georg Hahn. (2019). A simple method for implementing Monte Carlo tests. Computational Statistics. 35(3). 1373–1392. 2 indexed citations

9.

Gandy, Axel & Luitgard Anna Maria Veraart. (2018). Adjustable network reconstruction with applications to CDS exposures. Journal of Multivariate Analysis. 172. 193–209. 14 indexed citations

10.

Gandy, Axel, et al.. (2017). spcadjust: An R Package for Adjusting for Estimation Error in Control Charts. The R Journal. 9(1). 458–458. 6 indexed citations

11.

Gandy, Axel & Patrick Rubin‐Delanchy. (2016). AN ALGORITHM TO COMPUTE THE POWER OF MONTE CARLO TESTS WITH GUARANTEED PRECISION1. 3 indexed citations

12.

Lee, Mei‐Ling Ting, Mitchell H. Gail, Ruth M. Pfeiffer, et al.. (2013). Risk Assessment and Evaluation of Predictions. Lecture notes in statistics. 28 indexed citations

13.

Gandy, Axel, et al.. (2013). An omnibus CUSUM chart for monitoring time to event data. Lifetime Data Analysis. 20(3). 481–494. 5 indexed citations

14.

Gandy, Axel, et al.. (2012). Non-restarting cumulative sum charts and control of the false discovery rate. Biometrika. 100(1). 261–268. 23 indexed citations

15.

Gandy, Axel, et al.. (2010). Risk-adjusted monitoring of time to event. Biometrika. 97(2). 375–388. 25 indexed citations

16.

Gandy, Axel, et al.. (2010). Fast computation of high-dimensional multivariate normal probabilities. Computational Statistics & Data Analysis. 55(4). 1521–1529. 5 indexed citations

17.

Gandy, Axel & Uwe Jensen. (2009). Model checks for Cox-type regression models based on optimally weighted martingale residuals. Lifetime Data Analysis. 15(4). 534–557. 2 indexed citations

18.

Gandy, Axel. (2006). Sequential Computation of p-values based on (Re-)Sampling with a Guaranteed Error Bound. arXiv (Cornell University). 1 indexed citations

19.

Gandy, Axel & Uwe Jensen. (2005). Checking a Semiparametric Additive Risk Model. Lifetime Data Analysis. 11(4). 451–472. 9 indexed citations

20.

Gandy, Axel & Uwe Jensen. (2004). A non-parametric approach to software reliability: Research Articles. Applied Stochastic Models in Business and Industry. 20(1). 3–15. 4 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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