Adam C. Povey

1.8k total citations
25 papers, 527 citations indexed

About

Adam C. Povey is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Adam C. Povey has authored 25 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 19 papers in Atmospheric Science and 2 papers in Environmental Engineering. Recurrent topics in Adam C. Povey's work include Atmospheric aerosols and clouds (14 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Atmospheric chemistry and aerosols (12 papers). Adam C. Povey is often cited by papers focused on Atmospheric aerosols and clouds (14 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Atmospheric chemistry and aerosols (12 papers). Adam C. Povey collaborates with scholars based in United Kingdom, United States and Germany. Adam C. Povey's co-authors include R. G. Grainger, Caroline Poulsen, Simon Proud, Matthew W. Christensen, Gregory McGarragh, G. E. Thomas, Thomas Popp, Rainer Hollmann, A. M. Sayer and David Neubauer and has published in prestigious journals such as Journal of Climate, Atmospheric chemistry and physics and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Adam C. Povey

23 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam C. Povey United Kingdom	12	402	370	60	46	41	25	527
Snorre Stamnes United States	12	380 0.9×	370 1.0×	43 0.7×	71 1.5×	32 0.8×	47	489
Itaru Sano Japan	11	638 1.6×	629 1.7×	35 0.6×	55 1.2×	34 0.8×	95	744
Zhaojun Zheng China	12	277 0.7×	459 1.2×	97 1.6×	36 0.8×	47 1.1×	51	587
Caroline Poulsen United Kingdom	17	743 1.8×	742 2.0×	87 1.4×	60 1.3×	44 1.1×	37	873
Shan Zeng United States	12	692 1.7×	560 1.5×	74 1.2×	101 2.2×	41 1.0×	26	762
P. K. Thapliyal India	10	201 0.5×	265 0.7×	111 1.9×	66 1.4×	14 0.3×	59	359
M. L. Cancillo Spain	14	506 1.3×	488 1.3×	78 1.3×	33 0.7×	18 0.4×	44	678
Jørn Kristiansen Norway	8	273 0.7×	330 0.9×	68 1.1×	82 1.8×	15 0.4×	17	442
Edward J. Dumas United States	13	291 0.7×	333 0.9×	164 2.7×	22 0.5×	73 1.8×	24	555
Javier Gorroño United Kingdom	12	340 0.8×	213 0.6×	83 1.4×	20 0.4×	76 1.9×	34	492

Countries citing papers authored by Adam C. Povey

Since Specialization

Citations

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

Fields of papers citing papers by Adam C. Povey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam C. Povey. 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 Adam C. Povey. The network helps show where Adam C. Povey may publish in the future.

Co-authorship network of co-authors of Adam C. Povey

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

All Works

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20 of 20 papers shown

Hohensinn, Roland, Claire E. Bulgin, M G Cox, et al.. (2026). A Unified Framework for Trend Uncertainty Assessment in Climate Data Records: Demonstration on Global Mean Sea Level. Surveys in Geophysics.

Povey, Adam C., Claire E. Bulgin, & Alexander Gruber. (2025). A Practical Introduction to Utilising Uncertainty Information in the Analysis of Essential Climate Variables. Surveys in Geophysics.

Verhoelst, Tijl, Adam C. Povey, Nick Schutgens, et al.. (2025). The Challenges and Limitations of Validating Satellite-Derived Datasets Using Independent Measurements: Lessons Learned from Essential Climate Variables. Surveys in Geophysics. 2 indexed citations

Song, Rui, Adam C. Povey, & R. G. Grainger. (2024). Characterization of dust aerosols from ALADIN and CALIOP measurements. Atmospheric measurement techniques. 17(8). 2521–2538. 3 indexed citations

Poulsen, Caroline, Steven T. Siems, Simon Proud, et al.. (2024). Geostationary aerosol retrievals of extreme biomass burning plumes during the 2019–2020 Australian bushfires. Atmospheric measurement techniques. 17(10). 3279–3302. 1 indexed citations

Gryspeerdt, Edward, Adam C. Povey, R. G. Grainger, et al.. (2023). Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions. Atmospheric chemistry and physics. 23(7). 4115–4122. 26 indexed citations

Prata, Andrew T., R. G. Grainger, Isabelle A. Taylor, et al.. (2022). Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption. Atmospheric measurement techniques. 15(20). 5985–6010. 15 indexed citations

Poulsen, Caroline, Gregory McGarragh, G. E. Thomas, et al.. (2020). Cloud _ cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties. Earth system science data. 12(3). 2121–2135. 4 indexed citations

Sayer, A. M., Yves Govaerts, Pekka Kolmonen, et al.. (2020). A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing. Atmospheric measurement techniques. 13(2). 373–404. 71 indexed citations

10.

Sayer, A. M., Yves Govaerts, Pekka Kolmonen, et al.. (2019). A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing. 4 indexed citations

11.

McGarragh, Gregory, Caroline Poulsen, G. E. Thomas, et al.. (2018). The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach. Atmospheric measurement techniques. 11(6). 3397–3431. 30 indexed citations

12.

Sus, Oliver, Martin Stengel, Stefan Stapelberg, et al.. (2018). The Community Cloud retrieval for CLimate (CC4CL) – Part 1: A framework applied to multiple satellite imaging sensors. Atmospheric measurement techniques. 11(6). 3373–3396. 29 indexed citations

13.

Sparrow, Sarah, Richard Millar, Kuniko Yamazaki, et al.. (2018). Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble. Journal of Climate. 31(12). 4639–4656. 4 indexed citations

14.

Christensen, Matthew W., David Neubauer, Caroline Poulsen, et al.. (2017). Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate. Atmospheric chemistry and physics. 17(21). 13151–13164. 68 indexed citations

15.

Merchant, Christopher J., Frank Paul, Thomas Popp, et al.. (2017). Uncertainty information in climate data records from Earth observation. Earth system science data. 9(2). 511–527. 105 indexed citations

16.

Merchant, Christopher J., Frank Paul, Thomas Popp, et al.. (2017). Uncertainty information in climate data records from Earth observation. 7 indexed citations

17.

Hayer, Catherine, Elisa Carboni, Lucy J. Ventress, Adam C. Povey, & R. G. Grainger. (2016). Satellite observations of the volcanic plume from the 23rd April 2015 eruption of Calbuco volcano. EGUGA. 1 indexed citations

18.

Povey, Adam C. & R. G. Grainger. (2015). Known and unknown unknowns: uncertainty estimation in satellite remote sensing. Atmospheric measurement techniques. 8(11). 4699–4718. 70 indexed citations

19.

Povey, Adam C., et al.. (2014). Retrieval of aerosol backscatter, extinction, and lidar ratio from Raman lidar with optimal estimation. Atmospheric measurement techniques. 7(3). 757–776. 20 indexed citations

20.

Dunn, Katherine E., D. Gong, T. B. Huffman, et al.. (2012). The Radiation Tolerance of Specific Optical Fibers for the LHC Upgrades. Physics Procedia. 37. 1630–1643. 2 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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