Dylan Jervis

2.0k total citations
24 papers, 917 citations indexed

About

Dylan Jervis is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Chemistry. According to data from OpenAlex, Dylan Jervis has authored 24 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 8 papers in Environmental Chemistry. Recurrent topics in Dylan Jervis's work include Atmospheric and Environmental Gas Dynamics (22 papers), Atmospheric Ozone and Climate (11 papers) and Methane Hydrates and Related Phenomena (8 papers). Dylan Jervis is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (22 papers), Atmospheric Ozone and Climate (11 papers) and Methane Hydrates and Related Phenomena (8 papers). Dylan Jervis collaborates with scholars based in United States, Netherlands and Canada. Dylan Jervis's co-authors include Daniel J. Varon, Jason McKeever, Daniel J. Jacob, Berke O. A. Durak, Joannes D. Maasakkers, Ilse Aben, Sudhanshu Pandey, Yi Huang, Yan Xia and David Gains and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Dylan Jervis

21 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dylan Jervis United States 11 806 534 182 135 134 24 917
Jason McKeever United States 10 971 1.2× 627 1.2× 236 1.3× 145 1.1× 174 1.3× 20 1.1k
Konstantin Gerilowski Germany 18 1.1k 1.4× 889 1.7× 106 0.6× 183 1.4× 88 0.7× 34 1.2k
Itziar Irakulis‐Loitxate Spain 11 458 0.6× 233 0.4× 150 0.8× 118 0.9× 101 0.8× 21 550
Tia R. Scarpelli United States 19 1.1k 1.4× 733 1.4× 309 1.7× 84 0.6× 178 1.3× 30 1.2k
Jian‐Xiong Sheng United States 23 1.5k 1.8× 1.2k 2.2× 315 1.7× 135 1.0× 193 1.4× 43 1.6k
D. Caulton United States 8 499 0.6× 277 0.5× 115 0.6× 151 1.1× 35 0.3× 16 593
S. Wolter United States 10 845 1.0× 610 1.1× 142 0.8× 142 1.1× 84 0.6× 17 924
J. R. Whetstone United States 19 894 1.1× 583 1.1× 83 0.5× 307 2.3× 33 0.2× 49 1.2k
Jakob Borchardt Germany 6 377 0.5× 253 0.5× 55 0.3× 84 0.6× 50 0.4× 9 413
Patricia Lang United States 9 966 1.2× 828 1.6× 103 0.6× 107 0.8× 93 0.7× 13 1.2k

Countries citing papers authored by Dylan Jervis

Since Specialization
Citations

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

Fields of papers citing papers by Dylan Jervis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan Jervis

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan Jervis. A scholar is included among the top collaborators of Dylan Jervis 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 Dylan Jervis. Dylan Jervis 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.
Jacob, Daniel J., Dylan Jervis, Melissa P. Sulprizio, et al.. (2025). Worldwide inference of national methane emissions by inversion of satellite observations with UNFCCC prior estimates. Nature Communications. 16(1). 11004–11004.
2.
Maasakkers, Joannes D., Dylan Jervis, Jason McKeever, et al.. (2025). Global satellite survey reveals uncertainty in landfill methane emissions. Nature. 647(8089). 397–402.
3.
Jervis, Dylan, Marianne Girard, Jean-Philippe W. MacLean, et al.. (2025). Global energy sector methane emissions estimated by using facility-level satellite observations. Science. 390(6778). 1151–1155.
4.
Jervis, Dylan, et al.. (2024). U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers. Atmospheric measurement techniques. 17(9). 2625–2636. 12 indexed citations
5.
MacLean, Jean-Philippe W., Marianne Girard, Dylan Jervis, et al.. (2024). Offshore methane detection and quantification from space using sun glint measurements with the GHGSat constellation. Atmospheric measurement techniques. 17(2). 863–874. 12 indexed citations
6.
Jervis, Dylan, et al.. (2024). Accounting for the effect of aerosols in GHGSat methane retrieval. Atmospheric measurement techniques. 17(11). 3347–3366. 2 indexed citations
7.
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
8.
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
9.
Varon, Daniel J., et al.. (2021). High-frequency monitoring of anomalous methane point sources with multispectral Sentinel-2 satellite observations. Atmospheric measurement techniques. 14(4). 2771–2785. 91 indexed citations
10.
Jervis, Dylan, Jason McKeever, Berke O. A. Durak, et al.. (2021). The GHGSat-D imaging spectrometer. Atmospheric measurement techniques. 14(3). 2127–2140. 101 indexed citations
11.
Cusworth, Daniel, Riley Duren, Andrew K. Thorpe, et al.. (2020). Multisatellite Imaging of a Gas Well Blowout Enables Quantification of Total Methane Emissions. Geophysical Research Letters. 48(2). 53 indexed citations
12.
Strupler, Mathias, Dylan Jervis, Jason McKeever, et al.. (2020). Meter-scale retrieval of industrial methane emission using GHGSat’s satellite constellation. 1 indexed citations
13.
Cusworth, Daniel, Riley Duren, Andrew K. Thorpe, et al.. (2020). Multi-satellite imaging of a gas well blowout provides new insights for methane monitoring. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
14.
Varon, Daniel J., J. McKeever, Dylan Jervis, et al.. (2019). Satellite Discovery of Anomalously Large Methane Point Sources From Oil/Gas Production. Geophysical Research Letters. 46(22). 13507–13516. 149 indexed citations
15.
Varon, Daniel J., Tia R. Scarpelli, J. McKeever, et al.. (2019). Quantifying Methane Emissions from Individual Point Sources with the GHGSat-D Satellite Instrument. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
16.
Varon, Daniel J., et al.. (2018). Quantifying Methane Emissions from Individual Coal Mine Vents with GHGSat-D Satellite Observations. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
17.
Varon, Daniel J., Daniel J. Jacob, Jason McKeever, et al.. (2018). Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes. Atmospheric measurement techniques. 11(10). 5673–5686. 196 indexed citations
18.
Germain, Stéphane, Berke O. A. Durak, David Gains, et al.. (2017). Quantifying Industrial Methane Emissions from Space with the GHGSat-D Satellite. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
19.
McKeever, J., Berke O. A. Durak, David Gains, et al.. (2017). GHGSat-D: Greenhouse gas plume imaging and quantification from space using a Fabry-Perot imaging spectrometer. AGU Fall Meeting Abstracts. 2017. 4 indexed citations
20.
Jervis, Dylan, et al.. (1981). RECYCLING OF BITUMINOUS MATERIALS USING A CENTRAL DRUM-MIXER PLANT. 8(9). 1 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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