T. Aina

2.8k citations
13 papers · 1.9k indexed · 2 hit papers · h-index 10
Topics
Meteorological Phenomena and Simulations (8 papers)Climate variability and models (7 papers)Distributed and Parallel Computing Systems (5 papers)

In The Last Decade

T. Aina

13 papers receiving 1.8k citations

Hit Papers

Uncertainty in predictions of the climate response to ris...200520262012201920052011250500750

Peers

T. Aina
Comparison fields: 5 of 125
  • Global and Planetary Change 1.4k
  • Atmospheric Science 991
  • Water Science and Technology 234
  • Ecology, Evolution, Behavior and Systematics 140
  • Sociology and Political Science 125
Replace J. Kettleborough with:
J. Kettleborough United Kingdom
David N. Barnett United Kingdom
Manola Brunet Spain
Sylvia Knight United Kingdom
Sihan Li United Kingdom
Anne M. Waple United States
Seth McGinnis United States
Jack Katzfey Australia
Jesús Fernández Spain
Sarah Sparrow United Kingdom
T. Aina relative to J. Kettleborough United Kingdom J. Kettleborough's profile →
Citations per field
00.5×2.8×
J. Kettleborough · 1×
Citations per year

Countries citing papers authored by T. Aina

Since Specialization
Citations

This map shows the geographic impact of T. Aina'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 T. Aina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Aina more than expected).

Fields of papers citing papers by T. Aina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Aina

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 165
3 19
4 11
5
Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000breakdown →
662
6
Anthropogenic greenhouse gas contribution to UK autumn flood risk
5
7 51
8 30
9 65
10 43
11 14
12
Uncertainty in predictions of the climate response to rising levels of greenhouse gasesbreakdown →
857
13 4

About T. Aina

T. Aina is a scholar working on Atmospheric Science, Information Systems and Management and Global and Planetary Change, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (7 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Global and Planetary Change (1.4k citations), Atmospheric Science (991 citations) and Water Science and Technology (234 citations). T. Aina has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Myles Allen, Dáithí A. Stone, Arno Hilberts, Dag Lohmann, Pardeep Pall, Peter A. Stott, Toru Nozawa, C. Christensen, David A. Stainforth and James M. Murphy. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Climate.

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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