Emma Woolliams

1.9k total citations
77 papers, 1.1k citations indexed

About

Emma Woolliams is a scholar working on Aerospace Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Emma Woolliams has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Aerospace Engineering, 29 papers in Atmospheric Science and 18 papers in Global and Planetary Change. Recurrent topics in Emma Woolliams's work include Calibration and Measurement Techniques (56 papers), Atmospheric Ozone and Climate (23 papers) and Scientific Measurement and Uncertainty Evaluation (14 papers). Emma Woolliams is often cited by papers focused on Calibration and Measurement Techniques (56 papers), Atmospheric Ozone and Climate (23 papers) and Scientific Measurement and Uncertainty Evaluation (14 papers). Emma Woolliams collaborates with scholars based in United Kingdom, France and Italy. Emma Woolliams's co-authors include Nigel Fox, G. Machin, R. Winkler, Jonathan P. D. Mittaz, Christopher J. Merchant, Stephen Morse, Richard Murphy, Jim Lynch, Agnieszka Białek and M G Cox and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Atmospheric chemistry and physics.

In The Last Decade

Emma Woolliams

75 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emma Woolliams United Kingdom 18 672 407 280 181 170 77 1.1k
Bettye C. Johnson United States 22 773 1.2× 568 1.4× 407 1.5× 103 0.6× 110 0.6× 124 1.5k
Andrea Merlone Italy 17 371 0.6× 376 0.9× 206 0.7× 204 1.1× 167 1.0× 90 1.0k
Ning Lei United States 22 1.0k 1.5× 1.0k 2.6× 236 0.8× 38 0.2× 45 0.3× 109 1.5k
Xiangqian Wu United States 30 942 1.4× 2.6k 6.5× 2.3k 8.2× 62 0.3× 55 0.3× 167 3.4k
R. Baskaran India 22 306 0.5× 863 2.1× 857 3.1× 64 0.4× 34 0.2× 114 1.8k
Dieter Hasselmann Germany 11 268 0.4× 1.2k 2.8× 97 0.3× 52 0.3× 15 0.1× 28 3.5k
A. B. Meinel United States 21 145 0.2× 252 0.6× 181 0.6× 72 0.4× 195 1.1× 123 1.5k
Alexander B. Kostinski United States 24 178 0.3× 544 1.3× 555 2.0× 5 0.0× 209 1.2× 69 1.4k
K. Chiang United States 18 1.2k 1.7× 1.1k 2.8× 397 1.4× 53 0.3× 12 0.1× 75 1.4k
Kurt Thome United States 17 655 1.0× 741 1.8× 612 2.2× 19 0.1× 34 0.2× 61 1.2k

Countries citing papers authored by Emma Woolliams

Since Specialization
Citations

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

Fields of papers citing papers by Emma Woolliams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Woolliams

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Woolliams. A scholar is included among the top collaborators of Emma Woolliams 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 Emma Woolliams. Emma Woolliams 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.
Woolliams, Emma, M G Cox, Jonathan P. D. Mittaz, et al.. (2025). A Metrological Framework for Addressing Uncertainty in Satellite and In Situ Earth Environmental Observations. Surveys in Geophysics. 1 indexed citations
2.
Toledano, Carlos, África Barreto, Stefan Adriaensen, et al.. (2024). LIME: Lunar Irradiance Model of ESA, a new tool for absolute radiometric calibration using the Moon. Atmospheric chemistry and physics. 24(6). 3649–3671. 3 indexed citations
3.
Morse, Stephen, et al.. (2023). Examining Adaptation and Resilience Frameworks: Data Quality’s Role in Supporting Climate Efforts. Sustainability. 15(18). 13641–13641. 1 indexed citations
4.
Morse, Stephen, et al.. (2022). Assessing Education from Space: Using Satellite Earth Observation to Quantify Overcrowding in Primary Schools in Rural Areas of Nigeria. Sustainability. 14(3). 1408–1408. 6 indexed citations
5.
6.
Morse, Stephen, et al.. (2021). Can Current Earth Observation Technologies Provide Useful Information on Soil Organic Carbon Stocks for Environmental Land Management Policy?. Sustainability. 13(21). 12074–12074. 11 indexed citations
7.
Mittaz, Jonathan P. D., et al.. (2020). Comparison of the Sentinel-3A and B SLSTR Tandem Phase Data Using Metrological Principles. Remote Sensing. 12(18). 2893–2893. 9 indexed citations
8.
Khlevnoy, Boris, et al.. (2020). COOMET.PR-K3.a comparison of luminous intensity. Metrologia. 57(1A). 2002–2002.
9.
Ma, Lingling, Yongguang Zhao, Emma Woolliams, et al.. (2020). Uncertainty Analysis for RadCalNet Instrumented Test Sites Using the Baotou Sites BTCN and BSCN as Examples. Remote Sensing. 12(11). 1696–1696. 36 indexed citations
10.
Giering, Ralf, et al.. (2019). A Novel Framework to Harmonise Satellite Data Series for Climate Applications. Remote Sensing. 11(9). 1002–1002. 2 indexed citations
11.
Bouvet, Marc, Kurtis J. Thome, Béatrice Berthelot, et al.. (2019). RadCalNet: A Radiometric Calibration Network for Earth Observing Imagers Operating in the Visible to Shortwave Infrared Spectral Range. Remote Sensing. 11(20). 2401–2401. 145 indexed citations
12.
Morse, Stephen, et al.. (2019). Seeing Sustainability from Space: Using Earth Observation Data to Populate the UN Sustainable Development Goal Indicators. Sustainability. 11(18). 5062–5062. 33 indexed citations
13.
Mittaz, Jonathan P. D., Christopher J. Merchant, & Emma Woolliams. (2019). Applying principles of metrology to historical Earth observations from satellites. Metrologia. 56(3). 32002–32002. 58 indexed citations
14.
Morse, Stephen, et al.. (2018). Translation of Earth observation data into sustainable development indicators: An analytical framework. Sustainable Development. 27(3). 366–376. 47 indexed citations
15.
Woolliams, Emma, Jonathan P. D. Mittaz, Christopher J. Merchant, Arta Dilo, & Nigel Fox. (2016). Uncertainty and Correlation in Level 1 and Level 2 Products: A Metrologist's View. 740. 80. 1 indexed citations
16.
Zwinkels, Joanne C., Teresa Goodman, Joaquín Campos Acosta, et al.. (2016). Mise en pratique for the definition of the candela and associated derived units for photometric and radiometric quantities in the International System of Units (SI). Metrologia. 53(3). G1–G1. 5 indexed citations
17.
Woolliams, Emma. (2013). Determining the uncertainty associated with integrals of spectral quantities.. 4 indexed citations
18.
Fox, Nigel, et al.. (2011). Accurate radiometry from space: an essential tool for climate studies. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 369(1953). 4028–4063. 60 indexed citations
19.
Fox, Nigel, et al.. (2011). Stray light correction for diode-array-based spectrometers using a monochromator. Applied Optics. 50(26). 5130–5130. 18 indexed citations
20.
Cox, M G, et al.. (2003). Spectral characteristic modelling.. OpenGrey (Institut de l'Information Scientifique et Technique). 6 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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