Daniel J. Varon

4.6k total citations · 2 hit papers
54 papers, 1.9k citations indexed

About

Daniel J. Varon is a scholar working on Global and Planetary Change, Atmospheric Science and Mechanics of Materials. According to data from OpenAlex, Daniel J. Varon has authored 54 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 34 papers in Atmospheric Science and 15 papers in Mechanics of Materials. Recurrent topics in Daniel J. Varon's work include Atmospheric and Environmental Gas Dynamics (51 papers), Atmospheric Ozone and Climate (29 papers) and Atmospheric chemistry and aerosols (19 papers). Daniel J. Varon is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (51 papers), Atmospheric Ozone and Climate (29 papers) and Atmospheric chemistry and aerosols (19 papers). Daniel J. Varon collaborates with scholars based in United States, Netherlands and China. Daniel J. Varon's co-authors include Daniel J. Jacob, Dylan Jervis, Jason McKeever, Joannes D. Maasakkers, Luis Guanter, Ilse Aben, Sudhanshu Pandey, Berke O. A. Durak, Daniel Cusworth and Alba Lorente and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daniel J. Varon

50 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 →
Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane

2022 186 citations Daniel J. Jacob, Daniel J. Varon et al. Atmospheric chemistry and physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Varon United States	21	1.7k	1.0k	452	296	258	54	1.9k
Andrew K. Thorpe United States	30	2.0k 1.2×	1.3k 1.2×	403 0.9×	303 1.0×	459 1.8×	70	2.5k
Sudhanshu Pandey Netherlands	21	1.4k 0.8×	841 0.8×	326 0.7×	224 0.8×	161 0.6×	43	1.5k
Daniel Cusworth United States	24	1.5k 0.9×	917 0.9×	366 0.8×	229 0.8×	331 1.3×	52	1.9k
Jason McKeever United States	10	971 0.6×	627 0.6×	236 0.5×	174 0.6×	145 0.6×	20	1.1k
Alba Lorente Netherlands	23	1.5k 0.9×	1.2k 1.1×	284 0.6×	172 0.6×	294 1.1×	43	1.8k
Jian‐Xiong Sheng United States	23	1.5k 0.9×	1.2k 1.2×	315 0.7×	193 0.7×	135 0.5×	43	1.6k
Tobias Borsdorff Netherlands	26	1.8k 1.0×	1.4k 1.4×	189 0.4×	141 0.5×	210 0.8×	75	2.0k
Dylan Jervis United States	11	806 0.5×	534 0.5×	182 0.4×	134 0.5×	135 0.5×	24	917
Scot M. Miller United States	21	1.1k 0.6×	851 0.8×	159 0.4×	144 0.5×	200 0.8×	56	1.5k
Brian H. Stirm United States	23	1.3k 0.7×	1.1k 1.0×	166 0.4×	82 0.3×	382 1.5×	41	1.7k

Countries citing papers authored by Daniel J. Varon

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Varon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Varon. 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 Daniel J. Varon. The network helps show where Daniel J. Varon may publish in the future.

Co-authorship network of co-authors of Daniel J. Varon

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Varon. A scholar is included among the top collaborators of Daniel J. Varon 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 Daniel J. Varon. Daniel J. Varon 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

Pandey, Sudhanshu, John R. Worden, Daniel Cusworth, et al.. (2025). Relating Multi-Scale Plume Detection and Area Estimates of Methane Emissions: A Theoretical and Empirical Analysis. Environmental Science & Technology. 59(16). 7931–7947. 1 indexed citations

Mahdianpari, Masoud, et al.. (2025). The integration of vision transformers and SAM for automated methane super-emitter detection using TROPOMI data. Journal of Environmental Management. 393. 127034–127034.

Jacob, Daniel J., Zichong Chen, Hannah Nesser, et al.. (2025). Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations. Atmospheric chemistry and physics. 25(2). 797–817. 6 indexed citations

Jacob, Daniel J., Hannah Nesser, Joannes D. Maasakkers, et al.. (2025). Satellite monitoring of annual US landfill methane emissions and trends. Environmental Research Letters. 20(2). 24007–24007. 5 indexed citations

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.

Maasakkers, Joannes D., Dylan Jervis, Jason McKeever, et al.. (2025). Global satellite survey reveals uncertainty in landfill methane emissions. Nature. 647(8089). 397–402.

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

Mohammadimanesh, Fariba, et al.. (2024). PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 802–818. 6 indexed citations

He, Tai‐Long, et al.. (2024). Increased methane emissions from oil and gas following the Soviet Union’s collapse. Proceedings of the National Academy of Sciences. 121(12). e2314600121–e2314600121. 9 indexed citations

10.

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

11.

Jacob, Daniel J., Hannah Nesser, Daniel J. Varon, et al.. (2023). CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model. Geoscientific model development. 16(16). 4793–4810. 2 indexed citations

12.

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

13.

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

14.

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

15.

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

16.

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

17.

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 →

18.

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

19.

Cusworth, Daniel, Daniel Jacob, Daniel J. Varon, et al.. (2019). Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space. Atmospheric measurement techniques. 12(10). 5655–5668. 85 indexed citations

20.

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

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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