David Allingham
Impact in
- Insect Science top 10%
- Insect symbiosis and bacterial influences
- Modeling and Simulation top 10%
Papers in
-
- Statistical Methods in Clinical Trials 4
- Statistical Methods and Bayesian Inference 4
-
- Astrophysics and Star Formation Studies 8
- Stellar, planetary, and galactic studies 4
- Co-authors
- Meksianis Zadrak Ndii (3 shared papers)Roslyn I. Hickson (3 shared papers)Robert P. Morse (6 shared papers)N. G. Stocks (4 shared papers)GEOFFRY N. MERCER (1 shared paper)Kathryn Glass (2 shared papers)Kerrie Lee Mengersen (3 shared papers)Robert King (2 shared papers)
- Journals
- The Astrophysical Journal (5 papers)Journal of Theoretical Biology (2 papers)Food Quality and Preference (1 paper)Canadian Journal of Cardiology (1 paper)Theoretical Population Biology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David Allingham
29 papers receiving 408 citations
Peers
Comparison fields: 5 of 76
- Insect Science 102
- Modeling and Simulation 35
- Statistics and Probability 53
- Statistical and Nonlinear Physics 80
- Public Health, Environmental and Occupational Health 140
Countries citing papers authored by David Allingham
This map shows the geographic impact of David Allingham'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 Allingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Allingham more than expected).
Fields of papers citing papers by David Allingham
This network shows the impact of papers produced by David Allingham. 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 Allingham. The network helps show where David Allingham may publish in the future.
Co-authors
The 25 scholars most cited alongside David Allingham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 99 | |
| 2 | 2002 | 73 | |
| 3 | 2008 | 39 | |
| 4 | 2016 | 36 | |
| 5 | 2016 | 29 | |
| 6 | 2022 | 23 | |
| 7 | 1998 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2009 | 19 | |
| 10 | 2008 | 13 | |
| 11 | 2019 | 8 | |
| 12 | 2003 | 6 | |
| 13 | 2004 | 5 | |
| 14 | 2011 | 5 | |
| 15 | 2015 | 4 | |
| 16 | G337.342--0.119 (The "Pebble"): A Cold, Dense, High-mass Molecular Cloud with Unusually Large Line Widths and a Candidate High-mass Star Cluster Progenitor | 2018 | 4 |
| 17 | 2011 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2015 | 3 |
About David Allingham
David Allingham is a scholar working on Statistics and Probability, Astronomy and Astrophysics, Statistical and Nonlinear Physics, Cognitive Neuroscience and Insect Science, having authored 31 papers that have together received 437 indexed citations. Recurring topics across this work include Astrophysics and Star Formation Studies (8 papers), Statistical Methods in Clinical Trials (4 papers), Stellar, planetary, and galactic studies (4 papers), Statistical Methods and Bayesian Inference (4 papers), stochastic dynamics and bifurcation (4 papers), Bayesian Methods and Mixture Models (3 papers), Insect symbiosis and bacterial influences (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Insect Science (102 citations), Modeling and Simulation (35 citations), Statistics and Probability (53 citations), Statistical and Nonlinear Physics (80 citations) and Public Health, Environmental and Occupational Health (140 citations). David Allingham has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Meksianis Zadrak Ndii, Roslyn I. Hickson, Robert P. Morse, N. G. Stocks, GEOFFRY N. MERCER, Kathryn Glass, Kerrie Lee Mengersen, Robert King, Alistair Mees and Matthew West. Their work appears in journals such as The Astrophysical Journal, Journal of Theoretical Biology, Food Quality and Preference, Canadian Journal of Cardiology and Theoretical Population Biology.
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.