Justin Peter

448 total citations
12 papers, 251 citations indexed

About

Justin Peter is a scholar working on Global and Planetary Change, Atmospheric Science and Molecular Biology. According to data from OpenAlex, Justin Peter has authored 12 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 9 papers in Atmospheric Science and 1 paper in Molecular Biology. Recurrent topics in Justin Peter's work include Climate variability and models (6 papers), Meteorological Phenomena and Simulations (5 papers) and Atmospheric aerosols and clouds (4 papers). Justin Peter is often cited by papers focused on Climate variability and models (6 papers), Meteorological Phenomena and Simulations (5 papers) and Atmospheric aerosols and clouds (4 papers). Justin Peter collaborates with scholars based in Australia, United States and United Kingdom. Justin Peter's co-authors include Scott Collis, Ali Salanti, Michael Alifrangis, Stephen Magesa, Mark Rowland, Manisha A. Kulkarni, M. J. Manton, Johnson Matowo, Issa N. Lyimo and Frank Mosha and has published in prestigious journals such as Journal of Hydrology, Monthly Weather Review and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Justin Peter

12 papers receiving 248 citations

Peers

Justin Peter

GPC

PHEOH

S. Sathish India

Ajay Sharma United States

Winifred Ayinpogbilla Atiah Ghana

Emiola Gbobaniyi Sweden

Shruti Verma India

Svitlana Krakovska Ukraine

Yadigar Sekerci Türkiye

S. Jourdain France

Robert Redl Germany

D. López Spain

S. Sathish India

Justin Peter

8 ×0.1

24 ×0.2

GPC

40 ×0.5

PHEOH

16 ×0.3

39 ×0.8

Citations per year, relative to Justin Peter Justin Peter (= 1×) peers S. Sathish

Countries citing papers authored by Justin Peter

Since Specialization

Citations

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

Fields of papers citing papers by Justin Peter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Peter

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

All Works

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12 of 12 papers shown

Vogel, Elisabeth, Fiona Johnson, Lucy Marshall, et al.. (2023). An evaluation framework for downscaling and bias correction in climate change impact studies. Journal of Hydrology. 622. 129693–129693. 36 indexed citations

Warren, Robert A., Hamish A. Ramsay, Steven T. Siems, et al.. (2019). Radar‐based climatology of damaging hailstorms in Brisbane and Sydney, Australia. Quarterly Journal of the Royal Meteorological Society. 146(726). 505–530. 25 indexed citations

Peter, Justin, et al.. (2015). Radar-Derived Statistics of Convective Storms in Southeast Queensland. Journal of Applied Meteorology and Climatology. 54(10). 1985–2008. 23 indexed citations

Rennie, Susan, et al.. (2015). Bayesian Echo Classification for Australian Single-Polarization Weather Radar with Application to Assimilation of Radial Velocity Observations. Journal of Atmospheric and Oceanic Technology. 32(7). 1341–1355. 15 indexed citations

Peter, Justin, et al.. (2014). A Bayesian methodology for detecting anomalous propagation in radar reflectivity observations. 1 indexed citations

Peter, Justin, et al.. (2014). Analysis of a Destructive Wind Storm on 16 November 2008 in Brisbane, Australia. Monthly Weather Review. 142(9). 3038–3060. 24 indexed citations

Peter, Justin, Alan Seed, & Peter Steinle. (2013). Application of a Bayesian Classifier of Anomalous Propagation to Single-Polarization Radar Reflectivity Data. Journal of Atmospheric and Oceanic Technology. 30(9). 1985–2005. 11 indexed citations

Tessendorf, Sarah A., Roelof Bruintjes, Courtney Weeks, et al.. (2010). Overview of Queensland Cloud Seeding Research Program. The Journal of Weather Modification. 42(1). 33–48. 9 indexed citations

Peter, Justin, Steven T. Siems, J. B. Jensen, et al.. (2010). Airborne observations of the effect of a cold front on the aerosol particle size distribution and new particle formation. Quarterly Journal of the Royal Meteorological Society. 136(649). 944–961. 7 indexed citations

10.

Peter, Justin, et al.. (2008). On the composition of Caribbean maritime aerosol particles measured during RICO. Quarterly Journal of the Royal Meteorological Society. 134(633). 1059–1063. 9 indexed citations

11.

Peter, Justin, Steven T. Siems, J. B. Jensen, et al.. (2006). Prediction and observation of cloud processing of the aerosol size distribution by a band of cumulus. Quarterly Journal of the Royal Meteorological Society. 132(616). 845–863. 4 indexed citations

12.

Kulkarni, Manisha A., Mark Rowland, Michael Alifrangis, et al.. (2006). Occurrence of the leucine-to-phenylalanine knockdown resistance (kdr) mutation in Anopheles arabiensis populations in Tanzania, detected by a simplified high-throughput SSOP-ELISA method. Malaria Journal. 5(1). 87 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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