Christopher Jack

4.3k total citations
53 papers, 1.8k citations indexed

About

Christopher Jack is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Christopher Jack has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 17 papers in Atmospheric Science and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Christopher Jack's work include Climate variability and models (22 papers), Meteorological Phenomena and Simulations (13 papers) and Climate change impacts on agriculture (12 papers). Christopher Jack is often cited by papers focused on Climate variability and models (22 papers), Meteorological Phenomena and Simulations (13 papers) and Climate change impacts on agriculture (12 papers). Christopher Jack collaborates with scholars based in South Africa, United Kingdom and United States. Christopher Jack's co-authors include Bruce Hewitson, Chris Lennard, Mark New, Mark Tadross, Joseph Daron, Richard Jones, Neil MacKellar, Grigory Nikulin, Alessandro Dosio and Izidine Pinto and has published in prestigious journals such as The Science of The Total Environment, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Christopher Jack

51 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Jack South Africa 20 1.3k 774 338 180 136 53 1.8k
François Engelbrecht South Africa 27 1.4k 1.1× 889 1.1× 336 1.0× 149 0.8× 86 0.6× 74 2.3k
Michael A. Taylor Jamaica 24 1.4k 1.1× 1.2k 1.5× 237 0.7× 122 0.7× 123 0.9× 65 2.0k
Caio A. S. Coelho Brazil 26 2.2k 1.7× 1.4k 1.8× 344 1.0× 431 2.4× 84 0.6× 71 3.0k
Leonard K. Amekudzi Ghana 25 970 0.8× 524 0.7× 236 0.7× 215 1.2× 45 0.3× 77 1.7k
Amy McNally United States 18 838 0.7× 426 0.6× 199 0.6× 356 2.0× 88 0.6× 54 1.9k
Elke Hertig Germany 24 1.5k 1.2× 963 1.2× 334 1.0× 321 1.8× 121 0.9× 75 2.2k
Meryem Tanarhte Germany 13 1.1k 0.8× 853 1.1× 163 0.5× 102 0.6× 72 0.5× 19 1.7k
Ismaïla Diallo United States 25 1.6k 1.3× 1.1k 1.5× 282 0.8× 285 1.6× 39 0.3× 85 2.0k
Diriba Korecha Ethiopia 17 902 0.7× 380 0.5× 419 1.2× 174 1.0× 55 0.4× 30 1.3k
Michael Hagenlocher Germany 23 895 0.7× 160 0.2× 397 1.2× 159 0.9× 397 2.9× 56 1.8k

Countries citing papers authored by Christopher Jack

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Jack

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Jack. A scholar is included among the top collaborators of Christopher Jack 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 Christopher Jack. Christopher Jack 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
3.
James, Rachel, Emma Archer, Joseph Daron, et al.. (2025). How is climate science used to inform national-level adaptation planning in southern Africa?. Climate Policy. 26(2). 179–194. 1 indexed citations
4.
Jack, Christopher, et al.. (2025). Quantifying intra-urban socio-economic and environmental vulnerability to extreme heat events in Johannesburg, South Africa. International Journal of Biometeorology. 69(10). 2501–2517. 1 indexed citations
5.
Jack, Christopher, Bonnie R. Joubert, Kimberly A. McAllister, et al.. (2024). Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE2AT Center study protocol. BMJ Open. 14(6). e077529–e077529. 3 indexed citations
6.
Chersich, Matthew, Christopher Jack, Guéladio Cissé, et al.. (2024). Protocol of an individual participant data meta-analysis to quantify the impact of high ambient temperatures on maternal and child health in Africa (HE 2 AT IPD). BMJ Open. 14(1). e077768–e077768. 3 indexed citations
7.
Coumou, Dim, Paola A. Arias, Ana Bastos, et al.. (2024). How can event attribution science underpin financial decisions on Loss and Damage?. PNAS Nexus. 3(8). pgae277–pgae277. 6 indexed citations
8.
Perez, Erin Coughlan de, Ignacio Fuentes, Christopher Jack, et al.. (2022). Different types of drought under climate change or geoengineering: Systematic review of societal implications. Frontiers in Climate. 4. 10 indexed citations
9.
Pasquini, Lorena, et al.. (2020). Emerging climate change-related public health challenges in Africa: A case study of the heat-health vulnerability of informal settlement residents in Dar es Salaam, Tanzania. The Science of The Total Environment. 747. 141355–141355. 79 indexed citations
10.
Quagraine, Kwesi Akumenyi, Bruce Hewitson, Christopher Jack, et al.. (2020). Using Co-Behavior Analysis to Interrogate the Performance of CMIP5 GCMs over Southern Africa. Journal of Climate. 33(7). 2891–2905. 3 indexed citations
11.
Lennard, Chris, et al.. (2019). The observed and model-simulated response of southern African vegetation to drought. Agricultural and Forest Meteorology. 279. 107698–107698. 36 indexed citations
12.
Daron, Joseph, Laura Burgin, Tamara Janes, Richard Jones, & Christopher Jack. (2019). Climate process chains: Examples from southern Africa. International Journal of Climatology. 39(12). 4784–4797. 14 indexed citations
13.
Wolski, Piotr, et al.. (2018). Attributing 2015-2017 drought in Western Cape, South Africa. EGUGA. 13705. 1 indexed citations
14.
Daron, Joseph, S. Lorenz, Piotr Wolski, Ross C. Blamey, & Christopher Jack. (2015). Interpreting climate data visualisations to inform adaptation decisions. Climate Risk Management. 10. 17–26. 36 indexed citations
15.
Hewitson, Bruce, et al.. (2013). Addressing deterministic and stochastic variance in statistical downscaling. EGUGA. 2 indexed citations
16.
Hewitson, Bruce, et al.. (2013). Statistical and dynamical downscaling in CORDEX-Africa: differing views on the regional climate. EGUGA. 1 indexed citations
17.
Mattmann, C. A., Duane E. Waliser, Andrew F. Hart, et al.. (2013). Cloud computing and virtualization within the regional climate model and evaluation system. Earth Science Informatics. 7(1). 1–12. 10 indexed citations
18.
Ojikutu, Bisola O., Christopher Jack, & Gita Ramjee. (2007). Provision of Antiretroviral Therapy in South Africa: Unique Challenges and Remaining Obstacles. The Journal of Infectious Diseases. 196(s3). S523–S527. 19 indexed citations
19.
Friedland, Gerald, SH Khoo, Christopher Jack, & Umesh Lalloo. (2006). Administration of efavirenz (600 mg/day) with rifampicin results in highly variable levels but excellent clinical outcomes in patients treated for tuberculosis and HIV. Journal of Antimicrobial Chemotherapy. 58(6). 1299–1302. 87 indexed citations
20.
Jack, Christopher, et al.. (1975). On the Distribution of the Likelihood Ratio Test Statistic for Compound Symmetry.. 10(1). 49–62. 4 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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