Anna Kwa

642 total citations
16 papers, 321 citations indexed

About

Anna Kwa is a scholar working on Atmospheric Science, Global and Planetary Change and Nuclear and High Energy Physics. According to data from OpenAlex, Anna Kwa has authored 16 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Anna Kwa's work include Meteorological Phenomena and Simulations (10 papers), Climate variability and models (9 papers) and Dark Matter and Cosmic Phenomena (6 papers). Anna Kwa is often cited by papers focused on Meteorological Phenomena and Simulations (10 papers), Climate variability and models (9 papers) and Dark Matter and Cosmic Phenomena (6 papers). Anna Kwa collaborates with scholars based in United States. Anna Kwa's co-authors include Manoj Kaplinghat, W. A. Perkins, Jeremy McGibbon, Spencer K. Clark, Christopher S. Bretherton, Brian Henn, Oliver Watt‐Meyer, Noah Brenowitz, Annika H. G. Peter and Kimberly K. Boddy and has published in prestigious journals such as Geophysical Research Letters, Monthly Notices of the Royal Astronomical Society and Journal of High Energy Physics.

In The Last Decade

Anna Kwa

15 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Kwa United States	11	158	136	132	113	31	16	321
Atri Deshamukhya India	9	148 0.9×	100 0.7×	147 1.1×	123 1.1×	2 0.1×	23	293
Aronne Merrelli United States	13	351 2.2×	33 0.2×	359 2.7×	126 1.1×	20 0.6×	34	530
R. J. Angione United States	11	87 0.6×	46 0.3×	73 0.6×	183 1.6×	14 0.5×	32	266
Lihua Ma China	11	61 0.4×	54 0.4×	45 0.3×	158 1.4×	21 0.7×	45	297
F. W. Baier Germany	13	133 0.8×	19 0.1×	128 1.0×	196 1.7×	15 0.5×	57	423
Mark R. Dubal United Kingdom	11	89 0.6×	110 0.8×	67 0.5×	135 1.2×	2 0.1×	20	277
Benoît Tremblay United States	10	72 0.5×	24 0.2×	17 0.1×	205 1.8×	26 0.8×	22	325
J. Marshall United Kingdom	9	183 1.2×	105 0.8×	201 1.5×	12 0.1×	9 0.3×	15	359
D. T. Gregorich United States	8	111 0.7×	66 0.5×	86 0.7×	202 1.8×	3 0.1×	12	320

Countries citing papers authored by Anna Kwa

Since Specialization

Citations

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

Fields of papers citing papers by Anna Kwa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kwa

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kwa. A scholar is included among the top collaborators of Anna Kwa 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 Anna Kwa. Anna Kwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Clark, Spencer K., Oliver Watt‐Meyer, Anna Kwa, et al.. (2025). ACE2‐SOM: Coupling an ML Atmospheric Emulator to a Slab Ocean and Learning the Sensitivity of Climate to Changed CO ₂. 2(4).

Watt‐Meyer, Oliver, Brian Henn, Jeremy McGibbon, et al.. (2025). ACE2: accurately learning subseasonal to decadal atmospheric variability and forced responses. npj Climate and Atmospheric Science. 8(1). 12 indexed citations

McGibbon, Jeremy, Spencer K. Clark, Brian Henn, et al.. (2024). Global Precipitation Correction Across a Range of Climates Using CycleGAN. Geophysical Research Letters. 51(4). 5 indexed citations

Watt‐Meyer, Oliver, Noah Brenowitz, Spencer K. Clark, et al.. (2024). Neural Network Parameterization of Subgrid‐Scale Physics From a Realistic Geography Global Storm‐Resolving Simulation. Journal of Advances in Modeling Earth Systems. 16(2). 10 indexed citations

Kwa, Anna, Oliver Watt‐Meyer, Spencer K. Clark, et al.. (2023). Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection. Journal of Advances in Modeling Earth Systems. 15(11). 5 indexed citations

Kwa, Anna, Spencer K. Clark, Brian Henn, et al.. (2023). Machine‐Learned Climate Model Corrections From a Global Storm‐Resolving Model: Performance Across the Annual Cycle. Journal of Advances in Modeling Earth Systems. 15(5). 12 indexed citations

Bretherton, Christopher S., Brian Henn, Anna Kwa, et al.. (2022). Correcting Coarse‐Grid Weather and Climate Models by Machine Learning From Global Storm‐Resolving Simulations. Journal of Advances in Modeling Earth Systems. 14(2). 44 indexed citations

Clark, Spencer K., Noah Brenowitz, Brian Henn, et al.. (2022). Correcting a 200 km Resolution Climate Model in Multiple Climates by Machine Learning From 25 km Resolution Simulations. Journal of Advances in Modeling Earth Systems. 14(9). 19 indexed citations

Watt‐Meyer, Oliver, Noah Brenowitz, Spencer K. Clark, et al.. (2021). Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations. Geophysical Research Letters. 48(15). 60 indexed citations

10.

McGibbon, Jeremy, Noah Brenowitz, Spencer K. Clark, et al.. (2021). fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model. Geoscientific model development. 14(7). 4401–4409. 12 indexed citations

11.

Campbell, Sheldon, Anna Kwa, & Manoj Kaplinghat. (2018). The galactic isotropic γ-ray background and implications for dark matter. Monthly Notices of the Royal Astronomical Society. 479(3). 3616–3633. 2 indexed citations

12.

Keeley, Ryan E., Kevork N. Abazajian, Anna Kwa, Nicholas L. Rodd, & Benjamin R. Safdi. (2018). What the Milky Way’s dwarfs tell us about the Galactic Center extended gamma-ray excess. Physical review. D. 97(10). 7 indexed citations

13.

Galon, Iftah, Anna Kwa, & Philip Tañedo. (2017). Lepton-flavor violating mediators. Journal of High Energy Physics. 2017(3). 11 indexed citations

14.

Boddy, Kimberly K., Manoj Kaplinghat, Anna Kwa, & Annika H. G. Peter. (2016). Hidden sector hydrogen as dark matter: Small-scale structure formation predictions and the importance of hyperfine interactions. Physical review. D. 94(12). 66 indexed citations

15.

Horiuchi, Shunsaku, Manoj Kaplinghat, & Anna Kwa. (2016). Investigating the uniformity of the excess gamma rays towards the galactic center region. Journal of Cosmology and Astroparticle Physics. 2016(11). 53–53. 24 indexed citations

16.

Abazajian, Kevork N., et al.. (2015). Discovery of a new galactic center excess consistent with upscattered starlight. Journal of Cosmology and Astroparticle Physics. 2015(7). 13–13. 32 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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