Ag Stephens

2.0k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Ag Stephens is a scholar working on Global and Planetary Change, Atmospheric Science and Computer Networks and Communications. According to data from OpenAlex, Ag Stephens has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 5 papers in Computer Networks and Communications. Recurrent topics in Ag Stephens's work include Climate variability and models (7 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Meteorological Phenomena and Simulations (5 papers). Ag Stephens is often cited by papers focused on Climate variability and models (7 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Meteorological Phenomena and Simulations (5 papers). Ag Stephens collaborates with scholars based in United Kingdom, United States and Denmark. Ag Stephens's co-authors include Edward Hanna, John Cappelen, Konrad Steffen, Philippe Huybrechts, Richard Wood, Craig Wallace, Geoff Jenkins, Elizabeth Kendon, Rachel Warren and Simon J. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Ag Stephens

21 papers receiving 1.0k citations

Hit Papers

UK Climate Projections Science Report: Climate Change Pro... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ag Stephens United Kingdom 11 569 550 141 97 94 23 1.1k
Robert V. Rohli United States 19 524 0.9× 720 1.3× 102 0.7× 118 1.2× 192 2.0× 105 1.1k
Edoardo Bucchignani Italy 20 475 0.8× 604 1.1× 126 0.9× 117 1.2× 85 0.9× 67 1.2k
Christina Αnagnostopoulou Greece 21 652 1.1× 841 1.5× 145 1.0× 129 1.3× 73 0.8× 67 1.2k
Antonia Sebastian United States 20 762 1.3× 1.1k 1.9× 209 1.5× 165 1.7× 97 1.0× 46 1.4k
Peter Uhe United Kingdom 16 527 0.9× 874 1.6× 257 1.8× 196 2.0× 117 1.2× 27 1.3k
Mikdat Kadıoğlu Türkiye 17 253 0.4× 475 0.9× 113 0.8× 236 2.4× 40 0.4× 32 868
Lei Yin China 15 487 0.9× 969 1.8× 200 1.4× 94 1.0× 188 2.0× 40 1.3k
Anthony Argüez United States 13 685 1.2× 942 1.7× 113 0.8× 114 1.2× 122 1.3× 27 1.4k
Zhane Yin China 15 584 1.0× 1.1k 2.0× 267 1.9× 266 2.7× 146 1.6× 22 1.4k
Jiayi Fang China 16 579 1.0× 982 1.8× 253 1.8× 165 1.7× 157 1.7× 37 1.4k

Countries citing papers authored by Ag Stephens

Since Specialization
Citations

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

Fields of papers citing papers by Ag Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ag Stephens

This figure shows the co-authorship network connecting the top 25 collaborators of Ag Stephens. A scholar is included among the top collaborators of Ag Stephens 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 Ag Stephens. Ag Stephens 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.
Logan, Travis, Trevor Smith, David Huard, et al.. (2021). Ouranosinc/xclim: v0.28.1. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
2.
Noone, Simon, David I. Berry, Robert Dunn, et al.. (2020). Progress towards a holistic land and marine surface meteorological database and a call for additional contributions. SHILAP Revista de lepidopterología. 8(2). 103–120. 16 indexed citations
5.
Waterfall, A. M., et al.. (2016). Big Data Challenges Indexing Large-Volume, Heterogeneous EO Datasets for Effective Data Discovery. ESASP. 740. 29. 1 indexed citations
6.
Shaffrey, L. C., Dan Hodson, Jon Robson, et al.. (2016). Decadal predictions with the HiGEM high resolution global coupled climate model: description and basic evaluation. Climate Dynamics. 48(1-2). 297–311. 17 indexed citations
7.
Pascoe, Stephen, et al.. (2015). MOLES3: Implementing an ISO standards driven data catalogue. SHILAP Revista de lepidopterología. 10(1). 249–259. 4 indexed citations
8.
Mizielinski, Matthew, Malcolm Roberts, Pier Luigi Vidale, et al.. (2014). High-resolution global climate modelling: the UPSCALE project, a large-simulation campaign. Geoscientific model development. 7(4). 1629–1640. 63 indexed citations
9.
Lawrence, Bryan, et al.. (2013). Storing and manipulating environmental big data with JASMIN. CentAUR (University of Reading). 68–75. 75 indexed citations
10.
Stephens, Ag & P. D. Jones. (2011). Modifications to fix the discrepancies between observed baseline climatology and future change in sunshine and vapour pressure. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Stephens, Ag, et al.. (2011). The challenges of developing an open source, standards-based technology stack to deliver the latest UK climate projections. International Journal of Digital Earth. 5(1). 43–62. 3 indexed citations
12.
Murphy, James M., David M. H. Sexton, Geoff Jenkins, et al.. (2009). UK Climate Projections Science Report: Climate Change Projections. UEA Digital Repository (University of East Anglia). 534 indexed citations breakdown →
13.
Eckermann, Stephen D., Dong L. Wu, James D. Doyle, et al.. (2006). Imaging gravity waves in lower stratospheric AMSU-A radiances, Part 2: Validation case study. Atmospheric chemistry and physics. 6(11). 3343–3362. 42 indexed citations
14.
Lawrence, Bryan, et al.. (2006). Data integration with the Climate Science Modelling Language. Advances in geosciences. 8. 83–90. 12 indexed citations
15.
Lawrence, Bryan, et al.. (2006). The NERC Datagrid: Enabling Interoperable Climate Data Resources. 177–181.
16.
Hanna, Edward, Joseph R. McConnell, Sarah B. Das, John Cappelen, & Ag Stephens. (2006). Observed and Modeled Greenland Ice Sheet Snow Accumulation, 1958–2003, and Links with Regional Climate Forcing. Journal of Climate. 19(3). 344–358. 68 indexed citations
17.
Orr, Andrew, Edward Hanna, J. C. R. Hunt, et al.. (2005). Characteristics of Stable Flows over Southern Greenland. Pure and Applied Geophysics. 162(10). 1747–1778. 11 indexed citations
18.
Hanna, Edward, et al.. (2005). Runoff and mass balance of the Greenland ice sheet: 1958–2003. Journal of Geophysical Research Atmospheres. 110(D13). 197 indexed citations
19.
Lawrence, Bryan, et al.. (2005). INTEGRATING DISTRIBUTED CLIMATE DATA RESOURCES: THE NERC DATAGRID. Science and Technology Facilities Council. 215–233. 1 indexed citations
20.
McCormack, J. P., Stephen D. Eckermann, Lawrence Coy, et al.. (2004). NOGAPS-ALPHA model simulations of stratospheric ozone during the SOLVE2 campaign. Atmospheric chemistry and physics. 4(9/10). 2401–2423. 36 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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