Alba Lorente

4.5k total citations · 2 hit papers
43 papers, 1.8k citations indexed

About

Alba Lorente is a scholar working on Global and Planetary Change, Atmospheric Science and Mechanics of Materials. According to data from OpenAlex, Alba Lorente has authored 43 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Global and Planetary Change, 35 papers in Atmospheric Science and 8 papers in Mechanics of Materials. Recurrent topics in Alba Lorente's work include Atmospheric and Environmental Gas Dynamics (40 papers), Atmospheric Ozone and Climate (28 papers) and Atmospheric chemistry and aerosols (26 papers). Alba Lorente is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (40 papers), Atmospheric Ozone and Climate (28 papers) and Atmospheric chemistry and aerosols (26 papers). Alba Lorente collaborates with scholars based in Netherlands, United States and United Kingdom. Alba Lorente's co-authors include Tobias Borsdorff, Joannes D. Maasakkers, K. F. Boersma, Daniel J. Jacob, Daniel J. Varon, Hannah Nesser, Ilse Aben, Steffen Beirle, Melissa P. Sulprizio and Sudhanshu Pandey and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Alba Lorente

41 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantifying methane emissions from the largest oil-producing basin in the United States from space

2020 225 citations Yuzhong Zhang, Ritesh Gautam et al. Science Advances profile →
Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements

2021 154 citations Alba Lorente, Tobias Borsdorff et al. Atmospheric measurement techniques profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alba Lorente Netherlands	23	1.5k	1.2k	336	294	284	43	1.8k
Brian H. Stirm United States	23	1.3k 0.9×	1.1k 0.9×	379 1.1×	382 1.3×	166 0.6×	41	1.7k
Tobias Borsdorff Netherlands	26	1.8k 1.2×	1.4k 1.2×	242 0.7×	210 0.7×	189 0.7×	75	2.0k
Scot M. Miller United States	21	1.1k 0.8×	851 0.7×	124 0.4×	200 0.7×	159 0.6×	56	1.5k
Ben Miller United States	9	1.2k 0.8×	814 0.7×	131 0.4×	236 0.8×	223 0.8×	22	1.5k
Maria Obiminda Cambaliza United States	21	1.4k 0.9×	1.1k 0.9×	506 1.5×	468 1.6×	155 0.5×	47	1.7k
Jian‐Xiong Sheng United States	23	1.5k 1.0×	1.2k 1.0×	122 0.4×	135 0.5×	315 1.1×	43	1.6k
Oliver Schneising Germany	25	2.2k 1.5×	1.9k 1.6×	217 0.6×	214 0.7×	203 0.7×	60	2.4k
Sudhanshu Pandey Netherlands	21	1.4k 0.9×	841 0.7×	83 0.2×	161 0.5×	326 1.1×	43	1.5k
L. M. Bruhwiler United States	14	1.8k 1.2×	1.3k 1.1×	77 0.2×	117 0.4×	338 1.2×	16	2.1k
Daniel J. Varon United States	21	1.7k 1.2×	1.0k 0.9×	59 0.2×	258 0.9×	452 1.6×	54	1.9k

Countries citing papers authored by Alba Lorente

Since Specialization

Citations

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

Fields of papers citing papers by Alba Lorente

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alba Lorente

This figure shows the co-authorship network connecting the top 25 collaborators of Alba Lorente. A scholar is included among the top collaborators of Alba Lorente 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 Alba Lorente. Alba Lorente 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

Nesser, Hannah, Daniel J. Jacob, Joannes D. Maasakkers, et al.. (2024). High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills. Atmospheric chemistry and physics. 24(8). 5069–5091. 32 indexed citations

Lorente, Alba, et al.. (2023). Accounting for surface reflectance spectral features in TROPOMI methane retrievals. Atmospheric measurement techniques. 16(6). 1597–1608. 15 indexed citations

Maasakkers, Joannes D., Pieter van der Bijl, Sudhanshu Pandey, et al.. (2023). Automated detection and monitoring of methane super-emitters using satellite data. Atmospheric chemistry and physics. 23(16). 9071–9098. 52 indexed citations

Yu, Xueying, Dylan B. Millet, Daven K. Henze, et al.. (2023). A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources. Atmospheric chemistry and physics. 23(5). 3325–3346. 17 indexed citations

Chen, Zichong, Daniel J. Jacob, Ritesh Gautam, et al.. (2023). Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action. Atmospheric chemistry and physics. 23(10). 5945–5967. 17 indexed citations

Jacob, Daniel J., Alba Lorente, Joannes D. Maasakkers, et al.. (2023). A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases. Atmospheric measurement techniques. 16(16). 3787–3807. 27 indexed citations

Chen, Zichong, Daniel J. Jacob, Hannah Nesser, et al.. (2022). Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations. Atmospheric chemistry and physics. 22(16). 10809–10826. 74 indexed citations

Varon, Daniel J., Daniel J. Jacob, Melissa P. Sulprizio, et al.. (2022). Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations. Geoscientific model development. 15(14). 5787–5805. 16 indexed citations

Shen, Lu, Ritesh Gautam, Mark Omara, et al.. (2022). Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins. Atmospheric chemistry and physics. 22(17). 11203–11215. 52 indexed citations

10.

Maasakkers, Joannes D., Daniel J. Varon, Jason McKeever, et al.. (2022). Using satellites to uncover large methane emissions from landfills. Science Advances. 8(32). eabn9683–eabn9683. 104 indexed citations

11.

Qu, Zhen, Daniel J. Jacob, Lu Shen, et al.. (2021). Global distribution of methane emissions: a comparative inverse analysis of observations from the TROPOMI and GOSAT satellite instruments. Atmospheric chemistry and physics. 21(18). 14159–14175. 88 indexed citations

12.

Maasakkers, Joannes D., Mark Omara, Ritesh Gautam, et al.. (2021). Reconstructing and quantifying methane emissions from the full duration of a 38-day natural gas well blowout using space-based observations. Remote Sensing of Environment. 270. 112755–112755. 14 indexed citations

13.

Pandey, Sudhanshu, Sander Houweling, Alba Lorente, et al.. (2021). Using satellite data to identify the methane emission controls of South Sudan's wetlands. Biogeosciences. 18(2). 557–572. 39 indexed citations

14.

Lorente, Alba, Tobias Borsdorff, A. Butz, et al.. (2021). Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements. Atmospheric measurement techniques. 14(1). 665–684. 154 indexed citations breakdown →

15.

Zhang, Yuzhong, Ritesh Gautam, Sudhanshu Pandey, et al.. (2020). Quantifying methane emissions from the largest oil-producing basin in the United States from space. Science Advances. 6(17). eaaz5120–eaaz5120. 225 indexed citations breakdown →

16.

Tu, Qiansi, Frank Hase, Thomas Blumenstock, et al.. (2020). Intercomparison of atmospheric CO ₂ and CH ₄ abundances on regional scales in boreal areas using Copernicus Atmosphere Monitoring Service (CAMS) analysis, COllaborative Carbon Column Observing Network (COCCON) spectrometers, and Sentinel-5 Precursor satellite observations. Atmospheric measurement techniques. 13(9). 4751–4771. 25 indexed citations

17.

Landgraf, Jochen, Alba Lorente, Tobias Borsdorff, et al.. (2019). Two year of TROPOMI methane observations: Data quality and science opportunities. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

18.

Boersma, K. F., Henk Eskes, Andreas Richter, et al.. (2018). Improving algorithms and uncertainty estimates for satellite NO ₂ retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project. Atmospheric measurement techniques. 11(12). 6651–6678. 205 indexed citations

19.

Lorente, Alba, K. F. Boersma, P. Stammes, et al.. (2018). The importance of surface reflectance anisotropy for cloud and NO ₂ retrievals from GOME-2 and OMI. Atmospheric measurement techniques. 11(7). 4509–4529. 30 indexed citations

20.

Lorente, Alba, K. F. Boersma, Huan Yu, et al.. (2017). Structural uncertainty in air mass factor calculation for NO ₂ and HCHO satellite retrievals. Atmospheric measurement techniques. 10(3). 759–782. 142 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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