Jonathan Gillard

54 papers receiving 634 citations

Peers

Jonathan Gillard
Comparison fields: 5 of 90
  • Modeling and Simulation 20
  • Numerical Analysis 17
  • Physical Therapy, Sports Therapy and Rehabilitation 22
  • Emergency Medical Services 15
  • Statistics and Probability 21
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Abul Hasan Siddiqi India
Toru Ohira Japan
Maria Francesca Carfora Italy
Dana N. Mackenzie United States
A. V. Metcalfe United Kingdom
Leon Glass Germany
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Citations per year

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-authors

The 25 scholars most cited alongside Jonathan Gillard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Gillard Line = papers co-authored together Jonathan Gillard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201161
2 201361
3 201355
4 201245
5 201036
6 201535
7 201934
8 201232
9 201626
10 201121
11 201421
12 201419
13 201417
14 201116
15 201613
16 201713
17 202011
18 201010
19 201210
20 201910

About Jonathan Gillard

Jonathan Gillard is a scholar working on Statistics and Probability, Modeling and Simulation, Applied Mathematics, Management Information Systems and Management Science and Operations Research, having authored 57 papers that have together received 655 indexed citations. Recurring topics across this work include Mathematics Education and Programs (5 papers), Statistical and numerical algorithms (4 papers), Advanced Queuing Theory Analysis (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Advanced Statistical Methods and Models (2 papers), Statistical Methods and Applications (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Advanced Optimization Algorithms Research (1 paper). The work is most often cited by research in Modeling and Simulation (20 citations), Numerical Analysis (17 citations), Physical Therapy, Sports Therapy and Rehabilitation (22 citations), Emergency Medical Services (15 citations) and Statistics and Probability (21 citations). Jonathan Gillard has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include Anatoly A. Zhigljavsky, Vincent Knight, Paul Harper, Dmitri E. Kvasov, Monica E Busse, Hanan W. Khalil, Helen Dawes, Nora E. Fritz, Deb A. Kegelmeyer and Anne Kloos. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Teaching Mathematics and its Applications An International Journal of the IMA, IMA Journal of Management Mathematics, Journal of Global Optimization and Numerical Linear Algebra with Applications.

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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