Jonathan Gillard

1.1k total citations
55 papers, 577 citations indexed

About

Jonathan Gillard is a scholar working on Applied Mathematics, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Jonathan Gillard has authored 55 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Applied Mathematics, 11 papers in Statistics and Probability and 7 papers in Management Science and Operations Research. Recurrent topics in Jonathan Gillard's work include Statistical and numerical algorithms (15 papers), Sparse and Compressive Sensing Techniques (6 papers) and Advanced Statistical Methods and Models (6 papers). Jonathan Gillard is often cited by papers focused on Statistical and numerical algorithms (15 papers), Sparse and Compressive Sensing Techniques (6 papers) and Advanced Statistical Methods and Models (6 papers). Jonathan Gillard collaborates with scholars based in United Kingdom, France and Russia. Jonathan Gillard's co-authors include Anatoly Zhigljavsky, Vincent Knight, Paul Harper, Dmitri E. Kvasov, Konstantin Usevich, Helen Dawes, Nora E. Fritz, Deb Kegelmeyer, Lori Quinn and Hanan Khalil and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the Operational Research Society.

In The Last Decade

Jonathan Gillard

47 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Gillard United Kingdom 14 95 64 64 55 48 55 577
Eric Chicken United States 13 30 0.3× 73 1.1× 16 0.3× 44 0.8× 149 3.1× 40 888
Jürgen Groß Germany 13 140 1.5× 27 0.4× 14 0.2× 87 1.6× 219 4.6× 44 817
Mary C. Meyer United States 16 31 0.3× 21 0.3× 41 0.6× 63 1.1× 315 6.6× 44 681
Thaddeus Tarpey United States 19 45 0.5× 89 1.4× 15 0.2× 41 0.7× 384 8.0× 78 1.1k
Yuedong Wang United States 16 51 0.5× 36 0.6× 33 0.5× 99 1.8× 434 9.0× 48 962
Pedro A. Morettin Brazil 15 66 0.7× 81 1.3× 9 0.1× 73 1.3× 106 2.2× 74 876
Edward L. Boone United States 18 6 0.1× 31 0.5× 31 0.5× 56 1.0× 201 4.2× 72 1.1k
Dost Muhammad Khan Pakistan 18 16 0.2× 77 1.2× 10 0.2× 117 2.1× 172 3.6× 76 902
Richard B. Sowers United States 13 63 0.7× 30 0.5× 26 0.4× 25 0.5× 32 0.7× 87 774
Alistair Forbes United Kingdom 18 17 0.2× 174 2.7× 170 2.7× 6 0.1× 30 0.6× 91 1.0k

Countries citing papers authored by Jonathan Gillard

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Gillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Gillard

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Gillard. A scholar is included among the top collaborators of Jonathan Gillard 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 Jonathan Gillard. Jonathan Gillard 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.
Usevich, Konstantin, Jonathan Gillard, Philippe Dreesen, & Ivan Markovsky. (2025). Structured Nuclear Norm Matrix Completion: Guaranteeing Exact Recovery via Block‐Column Scaling. Numerical Linear Algebra with Applications. 32(4).
2.
Knight, Vincent, et al.. (2024). Recognising and evaluating the effectiveness of extortion in the Iterated Prisoner’s Dilemma. PLoS ONE. 19(7). e0304641–e0304641. 3 indexed citations
3.
4.
Wilde, Henry, Vincent Knight, & Jonathan Gillard. (2020). Matching: A Python library for solving matching games. The Journal of Open Source Software. 5(48). 2169–2169. 7 indexed citations
5.
Gillard, Jonathan. (2020). A First Course in Statistical Inference. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations
6.
Gillard, Jonathan, et al.. (2019). Creating a Taxonomy of Mathematical Errors for Undergraduate Mathematics. MSOR Connections. 18(1). 37–45. 2 indexed citations
7.
Hurt, Lisa, et al.. (2019). Understanding and improving the care pathway for children with autism. International Journal of Health Care Quality Assurance. 32(1). 208–223. 29 indexed citations
8.
Gillard, Jonathan & Konstantin Usevich. (2018). Structured low-rank matrix completion for forecasting in time series\n analysis. arXiv (Cornell University). 16 indexed citations
9.
Gillard, Jonathan. (2018). Deterministic global optimization: an introduction to the diagonal approach. Optimization methods & software. 34(1). 218–219. 6 indexed citations
10.
Gillard, Jonathan. (2017). An initial analysis and reflection of the metrics used in the Teaching Excellence Framework in the UK. Perspectives Policy and Practice in Higher Education. 22(2). 49–57. 10 indexed citations
11.
Gillard, Jonathan, et al.. (2016). A Queueing Theoretic Approach to Set Staffing Levels in Time‐Dependent Dual‐Class Service Systems*. Decision Sciences. 48(4). 766–794. 5 indexed citations
12.
Gillard, Jonathan & Anatoly Zhigljavsky. (2015). Application of structured low-rank approximation methods for imputing missing values in time series. Statistics and Its Interface. 8(3). 321–330. 1 indexed citations
13.
Gillard, Jonathan & Anatoly Zhigljavsky. (2014). Stochastic algorithms for solving structured low-rank matrix approximation problems. Communications in Nonlinear Science and Numerical Simulation. 21(1-3). 70–88. 13 indexed citations
14.
Gillard, Jonathan, et al.. (2011). Summer internships in sigma-sw. MSOR Connections. 11(3). 13–14. 3 indexed citations
15.
Lewis, Rhyd, Jonathan Thompson, Christine L. Mumford, & Jonathan Gillard. (2011). A wide-ranging computational comparison of high-performance graph colouring algorithms. Computers & Operations Research. 39(9). 1933–1950. 19 indexed citations
16.
Gillard, Jonathan. (2011). Asymptotic variance–covariance matrices for the linear structural model. Statistical Methodology. 8(3). 291–303. 4 indexed citations
17.
Gillard, Jonathan. (2010). An overview of linear structural models. ORCA Online Research @Cardiff. 1 indexed citations
18.
Gillard, Jonathan, et al.. (2010). Measuring the effectiveness of a mathematics support service: an email survey. Teaching Mathematics and its Applications An International Journal of the IMA. 30(1). 43–52. 9 indexed citations
19.
Gillard, Jonathan & T. C. Iles. (2009). Methods of Fitting Straight Lines where Both Variables are Subject to Measurement Error. Current Clinical Pharmacology. 4(3). 164–171. 7 indexed citations
20.
Boeckx, Eric, Jonathan Gillard, & Lieven Vanhecke. (1996). Semi-symmetric and semi-parallel geodesic spheres and tubes. 27(8). 771–777. 1 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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