David Lucy

1.2k total citations
21 papers, 810 citations indexed

About

David Lucy is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, David Lucy has authored 21 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 7 papers in Genetics and 7 papers in Modeling and Simulation. Recurrent topics in David Lucy's work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), COVID-19 epidemiological studies (6 papers) and Evolution and Genetic Dynamics (5 papers). David Lucy is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), COVID-19 epidemiological studies (6 papers) and Evolution and Genetic Dynamics (5 papers). David Lucy collaborates with scholars based in United Kingdom, Australia and Poland. David Lucy's co-authors include Manmohan Singh, Charlotte A. Roberts, Keith Manchester, Manmohan Singh, Grzegorz Zadora, P. M. Ridland, Robert G. Aykroyd, Colin Aitken, A. M. Pollard and Christopher J. Knüsel and has published in prestigious journals such as Talanta, American Journal of Physical Anthropology and Behavioral Ecology and Sociobiology.

In The Last Decade

David Lucy

21 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Lucy United Kingdom 13 251 230 226 202 70 21 810
Charles Whittaker United Kingdom 17 147 0.6× 77 0.3× 171 0.8× 26 0.1× 12 0.2× 37 1.0k
Peter Forster Germany 7 49 0.2× 40 0.2× 102 0.5× 222 1.1× 13 0.2× 8 996
Pamela Tozzo Italy 17 200 0.8× 65 0.3× 4 0.0× 199 1.0× 21 0.3× 70 822
Tilman M. Davies New Zealand 16 46 0.2× 9 0.0× 69 0.3× 44 0.2× 18 0.3× 42 806
Lucy Forster United Kingdom 6 35 0.1× 16 0.1× 102 0.5× 122 0.6× 12 0.2× 6 847
C. Milani Italy 18 220 0.9× 35 0.2× 2 0.0× 83 0.4× 160 2.3× 77 884
Lucas Amenga–Etego Ghana 15 456 1.8× 7 0.0× 17 0.1× 145 0.7× 14 0.2× 47 817
Tom Sumner United Kingdom 19 65 0.3× 16 0.1× 103 0.5× 24 0.1× 137 2.0× 47 1.1k
Jon Parker United States 11 148 0.6× 6 0.0× 337 1.5× 48 0.2× 3 0.0× 19 945
Shuhei Mano Japan 18 48 0.2× 19 0.1× 2 0.0× 378 1.9× 41 0.6× 47 1.3k

Countries citing papers authored by David Lucy

Since Specialization
Citations

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

Fields of papers citing papers by David Lucy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lucy

This figure shows the co-authorship network connecting the top 25 collaborators of David Lucy. A scholar is included among the top collaborators of David Lucy 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 David Lucy. David Lucy 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.
Lucy, David, James M. Curran, & Agnieszka Martyna. (2020). Multivariate Likelihood Ratio Calculation and Evaluation [R package comparison version 1.0-5]. 2 indexed citations
2.
Lucy, David, et al.. (2015). Lead isotope ratios for bullets, forensic evaluation in a Bayesian paradigm. Talanta. 146. 62–70. 6 indexed citations
3.
Singh, Manmohan, et al.. (2014). Numerical study of SARS epidemic model with the inclusion of diffusion in the system. Applied Mathematics and Computation. 229. 480–498. 27 indexed citations
4.
Mainwaring, Mark C., David Lucy, & Ian R. Hartley. (2014). Hatching Asynchrony Decreases the Magnitude of Parental Care in Domesticated Zebra Finches: Empirical Support for the Peak Load Reduction Hypothesis. Ethology. 120(6). 577–585. 4 indexed citations
5.
Martyna, Agnieszka, et al.. (2013). The evidential value of microspectrophotometry measurements made for pen inks. Analytical Methods. 5(23). 6788–6788. 8 indexed citations
6.
Singh, Manmohan, et al.. (2013). Parameter estimation of influenza epidemic model. Applied Mathematics and Computation. 220. 616–629. 33 indexed citations
7.
Singh, Manmohan, et al.. (2012). Uncertainty and sensitivity analysis of the basic reproduction number of a vaccinated epidemic model of influenza. Applied Mathematical Modelling. 37(3). 903–915. 113 indexed citations
8.
Singh, Manmohan, et al.. (2012). A numerical study on an influenza epidemic model with vaccination and diffusion. Applied Mathematics and Computation. 219(1). 122–141. 33 indexed citations
9.
Singh, Manmohan, et al.. (2011). Numerical study of a diffusive epidemic model of influenza with variable transmission coefficient. Applied Mathematical Modelling. 35(12). 5507–5523. 18 indexed citations
10.
Lucy, David & Grzegorz Zadora. (2011). Mixed effects modelling for glass category estimation from glass refractive indices. Forensic Science International. 212(1-3). 189–97. 8 indexed citations
11.
Mainwaring, Mark C., David Lucy, & Ian R. Hartley. (2011). Parentally biased favouritism in relation to offspring sex in zebra finches. Behavioral Ecology and Sociobiology. 65(12). 2261–2268. 36 indexed citations
12.
Singh, Manmohan, et al.. (2010). Numerical study of an influenza epidemic model with diffusion. Applied Mathematics and Computation. 217(7). 3461–3479. 19 indexed citations
13.
Curran, James M., et al.. (2009). Stable isotope profiling of burnt wooden safety matches. Science & Justice. 49(2). 107–113. 11 indexed citations
14.
Singh, Manmohan, et al.. (2008). A numerical study of the formation of spatial patterns in twospotted spider mites. Mathematical and Computer Modelling. 49(9-10). 1905–1919. 8 indexed citations
15.
Singh, Manmohan, et al.. (2007). Predator–prey model with prey-taxis and diffusion. Mathematical and Computer Modelling. 46(3-4). 482–498. 81 indexed citations
16.
Aitken, Colin, Grzegorz Zadora, & David Lucy. (2007). A Two‐Level Model for Evidence Evaluation. Journal of Forensic Sciences. 52(2). 412–419. 61 indexed citations
17.
Lucy, David. (2005). Introduction to Statistics for Forensic Scientists. 76 indexed citations
18.
Aykroyd, Robert G., David Lucy, A. M. Pollard, & Charlotte A. Roberts. (1999). Nasty, Brutish, but Not Necessarily Short: A Reconsideration of the Statistical Methods Used to Calculate Age at Death from Adult Human Skeletal and Dental Age Indicators. American Antiquity. 64(1). 55–70. 81 indexed citations
19.
Knüsel, Christopher J., et al.. (1997). Comparative degenerative joint disease of the vertebral column in the medieval monastic cemetery of the Gilbertine Priory of St. Andrew, Fishergate, York, England. American Journal of Physical Anthropology. 103(4). 481–495. 60 indexed citations
20.
Roberts, Charlotte A., David Lucy, & Keith Manchester. (1994). Inflammatory lesions of ribs: An analysis of the Terry Collection. American Journal of Physical Anthropology. 95(2). 169–182. 124 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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