Dorit Hammerling

2.3k total citations
56 papers, 1.2k citations indexed

About

Dorit Hammerling is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Dorit Hammerling has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 20 papers in Atmospheric Science and 14 papers in Environmental Engineering. Recurrent topics in Dorit Hammerling's work include Atmospheric and Environmental Gas Dynamics (21 papers), Climate variability and models (15 papers) and Meteorological Phenomena and Simulations (10 papers). Dorit Hammerling is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (21 papers), Climate variability and models (15 papers) and Meteorological Phenomena and Simulations (10 papers). Dorit Hammerling collaborates with scholars based in United States, Switzerland and United Kingdom. Dorit Hammerling's co-authors include Douglas Nychka, Finn Lindgren, S. R. Kawa, A. M. Michalak, Stephan R. Sain, Soutir Bandyopadhyay, Allison H. Baker, Matthias Katzfuß, Andrew O. Finley and Andrew Zammit‐Mangion and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Dorit Hammerling

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorit Hammerling United States 16 617 436 356 211 160 56 1.2k
Zhengyuan Zhu United States 23 466 0.8× 313 0.7× 626 1.8× 205 1.0× 150 0.9× 99 1.5k
Andrew Zammit‐Mangion Australia 15 338 0.5× 339 0.8× 351 1.0× 223 1.1× 168 1.1× 66 1.4k
Doug Nychka United States 21 1.2k 1.9× 853 2.0× 398 1.1× 183 0.9× 190 1.2× 38 2.0k
Karsten Steinhaeuser United States 16 410 0.7× 208 0.5× 83 0.2× 160 0.8× 96 0.6× 28 1.0k
Young‐Il Moon South Korea 17 667 1.1× 295 0.7× 199 0.6× 140 0.7× 59 0.4× 93 1.2k
Petra Friederichs Germany 21 1.4k 2.3× 1.2k 2.6× 244 0.7× 111 0.5× 125 0.8× 58 2.1k
Stefano Castruccio United States 18 569 0.9× 329 0.8× 344 1.0× 97 0.5× 101 0.6× 55 1.1k
Zhiqiang Liu China 15 536 0.9× 163 0.4× 260 0.7× 135 0.6× 84 0.5× 53 987
Surajit Chattopadhyay India 27 612 1.0× 406 0.9× 639 1.8× 154 0.7× 128 0.8× 219 2.5k
Peter F. Craigmile United States 17 295 0.5× 266 0.6× 81 0.2× 92 0.4× 160 1.0× 51 969

Countries citing papers authored by Dorit Hammerling

Since Specialization
Citations

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

Fields of papers citing papers by Dorit Hammerling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorit Hammerling

This figure shows the co-authorship network connecting the top 25 collaborators of Dorit Hammerling. A scholar is included among the top collaborators of Dorit Hammerling 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 Dorit Hammerling. Dorit Hammerling 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.
Yang, Shuting, et al.. (2025). Intercomparison of Three Continuous Monitoring Systems on Operating Oil and Gas Sites. ACS ES&T Air. 2(4). 564–577. 2 indexed citations
2.
Holley, Elizabeth, et al.. (2025). By-product recovery from US metal mines could reduce import reliance for critical minerals. Science. 389(6767). 1325–1331. 1 indexed citations
3.
Baker, Allison H., et al.. (2025). The ensemble consistency test: from CESM to MPAS and beyond. Geoscientific model development. 18(8). 2349–2372.
4.
Hammerling, Dorit, et al.. (2024). Estimating Methane Emission Durations Using Continuous Monitoring Systems. Environmental Science & Technology Letters. 11(11). 1187–1192. 5 indexed citations
5.
Elvidge, Christopher D., Mikhail Zhizhin, David M. Keith, et al.. (2022). The VIIRS Day/Night Band: A Flicker Meter in Space?. Remote Sensing. 14(6). 1316–1316. 13 indexed citations
6.
Castruccio, Stefano, et al.. (2020). Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation. Computational Statistics & Data Analysis. 151. 107018–107018. 6 indexed citations
7.
Hammerling, Dorit, et al.. (2020). Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python package. 2699–2707. 5 indexed citations
8.
Abramowitz, Gab, Nadja Herger, E. D. Gutmann, et al.. (2019). ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing. Earth System Dynamics. 10(1). 91–105. 108 indexed citations
9.
Castruccio, Stefano, et al.. (2019). Reproducing Internal Variability with Few Ensemble Runs. Journal of Climate. 32(24). 8511–8522. 17 indexed citations
10.
Matsueda, Hidekazu, Rebecca R. Buchholz, Kentaro Ishijima, et al.. (2019). Interannual Variation of Upper Tropospheric CO over the Western Pacific Linked with Indonesian Fires. SOLA. 15(0). 205–210. 4 indexed citations
11.
12.
Buchholz, Rebecca R., Dorit Hammerling, H. M. Worden, et al.. (2018). Links Between Carbon Monoxide and Climate Indices for the Southern Hemisphere and Tropical Fire Regions. Journal of Geophysical Research Atmospheres. 123(17). 9786–9800. 13 indexed citations
13.
Abramowitz, Gab, Nadja Herger, E. D. Gutmann, et al.. (2018). Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing. Biogeosciences (European Geosciences Union). 11 indexed citations
14.
Heaton, Matthew J., Abhirup Datta, Andrew O. Finley, et al.. (2017). Methods for Analyzing Large Spatial Data: A Review and Comparison. arXiv (Cornell University). 13 indexed citations
15.
Chen, Sophia, et al.. (2017). Ozone Concentration and Foliar Injury Analysis at Purchase Knob Garden. UCAR/NCAR. 1 indexed citations
16.
Baker, Allison H., Dorit Hammerling, Sheri Mickelson, et al.. (2016). Evaluating lossy data compression on climate simulation data within a large ensemble. Geoscientific model development. 9(12). 4381–4403. 46 indexed citations
17.
Baker, Allison H., Dorit Hammerling, Haiying Xu, et al.. (2016). Evaluating Lossy Data Compression on Climate Simulation Datawithin a Large Ensemble. 5 indexed citations
18.
Baker, Allison H., Hu Yong, Dorit Hammerling, et al.. (2016). Evaluating statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0). Geoscientific model development. 9(7). 2391–2406. 13 indexed citations
19.
Hammerling, Dorit, Matthew Cefalu, Jessi Cisewski-Kehe, et al.. (2014). Completing the Results of the 2013 Boston Marathon. PLoS ONE. 9(4). e93800–e93800. 3 indexed citations
20.
Hammerling, Dorit, A. M. Michalak, C. O’Dell, & S. R. Kawa. (2012). Global CO2 distributions over land from the Greenhouse Gases Observing Satellite (GOSAT). Geophysical Research Letters. 39(8). 54 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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