Glenn Carver

3.0k total citations
24 papers, 622 citations indexed

About

Glenn Carver is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Glenn Carver has authored 24 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 4 papers in Oceanography. Recurrent topics in Glenn Carver's work include Atmospheric chemistry and aerosols (12 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Meteorological Phenomena and Simulations (9 papers). Glenn Carver is often cited by papers focused on Atmospheric chemistry and aerosols (12 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Meteorological Phenomena and Simulations (9 papers). Glenn Carver collaborates with scholars based in United Kingdom, Netherlands and United States. Glenn Carver's co-authors include J. A. Pyle, Nick Savage, N. J. Warwick, Xin Yang, Fiona M. O’Connor, R. A. Cox, B. M. Knudsen, Simon Lang, Peter Düben and Martin Leutbecher and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric Environment.

In The Last Decade

Glenn Carver

23 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn Carver United Kingdom 11 540 416 90 54 32 24 622
Olaf Krüger Germany 13 276 0.5× 240 0.6× 116 1.3× 37 0.7× 52 1.6× 23 464
S. R. Kawa United States 16 693 1.3× 801 1.9× 52 0.6× 19 0.4× 41 1.3× 35 882
Claudia Roberta Calidonna Italy 12 335 0.6× 283 0.7× 142 1.6× 31 0.6× 119 3.7× 63 526
John D. Barrick United States 14 544 1.0× 437 1.1× 80 0.9× 35 0.6× 80 2.5× 21 621
Marie‐Pierre Lefebvre France 9 435 0.8× 405 1.0× 60 0.7× 46 0.9× 59 1.8× 11 512
R. Hoff United States 10 1.0k 1.9× 1.0k 2.4× 140 1.6× 24 0.4× 52 1.6× 17 1.2k
C. Meleti Greece 23 1.0k 1.9× 958 2.3× 101 1.1× 15 0.3× 62 1.9× 35 1.2k
D. I. Wardle Canada 21 907 1.7× 731 1.8× 74 0.8× 33 0.6× 35 1.1× 41 1.0k
Jennifer Wei United States 15 617 1.1× 601 1.4× 28 0.3× 19 0.4× 47 1.5× 54 685
B. de la Morena Spain 14 286 0.5× 241 0.6× 88 1.0× 36 0.7× 42 1.3× 31 598

Countries citing papers authored by Glenn Carver

Since Specialization
Citations

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

Fields of papers citing papers by Glenn Carver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glenn Carver

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn Carver. A scholar is included among the top collaborators of Glenn Carver 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 Glenn Carver. Glenn Carver 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.
Yepes-Arbós, Xavier, Gijs van den Oord, Mario Acosta, & Glenn Carver. (2022). Evaluation and optimisation of the I/O scalability for the next generation of Earth system models: IFS CY43R3 and XIOS 2.0 integration as a case study. Geoscientific model development. 15(2). 379–394. 10 indexed citations
2.
Huijnen, Vincent, Philippe Le Sager, Marcus O. Köhler, et al.. (2022). OpenIFS/AC: atmospheric chemistry and aerosol in OpenIFS 43r3. Geoscientific model development. 15(15). 6221–6241. 4 indexed citations
3.
Ollinaho, Pirkka, et al.. (2021). Ensemble prediction using a new dataset of ECMWF initial states – OpenEnsemble 1.0. Geoscientific model development. 14(4). 2143–2160. 6 indexed citations
4.
Boussetta, Souhail, Gianpaolo Balsamo, Gabriele Arduini, et al.. (2021). ECLand: The ECMWF Land Surface Modelling System. Atmosphere. 12(6). 723–723. 37 indexed citations
5.
Yepes-Arbós, Xavier, Gijs van den Oord, Mario Acosta, & Glenn Carver. (2021). Evaluation and optimisation of the I/O scalability for the next generation of Earth system models: IFS CY43R3 and XIOS 2.0 integration as a case study. 1 indexed citations
6.
Sparrow, Sarah, Glenn Carver, Marcus O. Köhler, et al.. (2021). OpenIFS@home version 1: a citizen science project for ensemble weather and climate forecasting. Geoscientific model development. 14(6). 3473–3486. 7 indexed citations
7.
Sinclair, Victoria A., et al.. (2019). Using the ECMWF OpenIFS model and state-of-the-art training techniques in meteorological education. Advances in science and research. 16. 39–47. 7 indexed citations
8.
Fagan, Mike, et al.. (2017). Mixed Single/Double Precision in OpenIFS: A Detailed Study of Energy Savings, Scaling Effects, Architectural Effects, and Compilation Effects. EGUGA. 10729. 1 indexed citations
9.
Day, Jonathan J., Gunilla Svensson, Ian M. Brooks, et al.. (2016). The Abisko Polar Prediction School. Bulletin of the American Meteorological Society. 98(3). 445–447. 2 indexed citations
10.
Esler, J. G., et al.. (2014). Technical Note: Adjoint formulation of the TOMCAT atmospheric transport scheme in the Eulerian backtracking framework (RETRO-TOM). Atmospheric chemistry and physics. 14(11). 5477–5493. 4 indexed citations
11.
Levine, J. G., Eric Wolff, A. E. Jones, et al.. (2011). Reconciling the changes in atmospheric methane sources and sinks between the Last Glacial Maximum and the pre-industrial era. Geophysical Research Letters. 38(23). n/a–n/a. 35 indexed citations
12.
Pike, Rachel, James Lee, Paul J. Young, et al.. (2010). NO x and O 3 above a tropical rainforest: an analysis with a global and box model. Atmospheric chemistry and physics. 10(21). 10607–10620. 21 indexed citations
13.
Barret, Brice, J. E. Williams, Idir Bouarar, et al.. (2010). Impact of West African Monsoon convective transport and lightning NO x production upon the upper tropospheric composition: a multi-model study. Atmospheric chemistry and physics. 10(12). 5719–5738. 33 indexed citations
14.
Voulgarakis, Apostolos, Nick Savage, Oliver Wild, et al.. (2010). Interannual variability of tropospheric composition: the influence of changes in emissions, meteorology and clouds. Atmospheric chemistry and physics. 10(5). 2491–2506. 41 indexed citations
15.
16.
Voulgarakis, Apostolos, Nick Savage, Oliver Wild, et al.. (2009). Upgrading photolysis in the p-TOMCAT CTM: model evaluation and assessment of the role of clouds. Geoscientific model development. 2(1). 59–72. 22 indexed citations
17.
O’Connor, Fiona M., Glenn Carver, Nick Savage, et al.. (2005). Comparison and visualisation of high‐resolution transport modelling with aircraft measurements. Atmospheric Science Letters. 6(3). 164–170. 17 indexed citations
18.
Carver, Glenn, A. E. Jones, & Eric Wolff. (2004). Global Modelling of NOx Emissions From Snow. AGUFM. 2004. 1 indexed citations
19.
Giannakopoulos, Christos, Glenn Carver, Martyn P. Chipperfield, et al.. (1999). Modelling NOx from lightning and its impact on global chemical fields. Atmospheric Environment. 33(27). 4477–4493. 56 indexed citations
20.
Pyle, J. A., et al.. (1995). Modelling the global sources and sinks of radiatively active gases. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 351(1696). 397–411. 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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