Xylar Asay‐Davis

5.4k total citations
53 papers, 1.2k citations indexed

About

Xylar Asay‐Davis is a scholar working on Atmospheric Science, Astronomy and Astrophysics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xylar Asay‐Davis has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Atmospheric Science, 17 papers in Astronomy and Astrophysics and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xylar Asay‐Davis's work include Cryospheric studies and observations (27 papers), Astro and Planetary Science (17 papers) and Arctic and Antarctic ice dynamics (15 papers). Xylar Asay‐Davis is often cited by papers focused on Cryospheric studies and observations (27 papers), Astro and Planetary Science (17 papers) and Arctic and Antarctic ice dynamics (15 papers). Xylar Asay‐Davis collaborates with scholars based in United States, Germany and France. Xylar Asay‐Davis's co-authors include Philip Marcus, Michael H. Wong, Imke de Pater, Benjamin K. Galton‐Fenzi, Nicolas C. Jourdain, Hélène Seroussi, Paul R. Holland, William H. Lipscomb, Gunter Leguy and Michael S. Dinniman and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Nature Climate Change.

In The Last Decade

Xylar Asay‐Davis

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xylar Asay‐Davis United States	20	932	276	251	242	125	53	1.2k
Catherine Walker United States	13	372 0.4×	197 0.7×	37 0.1×	92 0.4×	119 1.0×	41	548
Yara Mohajerani United States	9	294 0.3×	105 0.4×	70 0.3×	43 0.2×	72 0.6×	13	438
Malte Thoma Germany	16	843 0.9×	301 1.1×	191 0.8×	19 0.1×	81 0.6×	33	951
Thomas G. Richter United States	7	339 0.4×	161 0.6×	16 0.1×	24 0.1×	98 0.8×	8	462
F. Rostan Germany	9	423 0.5×	64 0.2×	89 0.4×	23 0.1×	28 0.2×	45	714
K. Jezek United States	15	1.0k 1.1×	340 1.2×	26 0.1×	16 0.1×	340 2.7×	46	1.1k
Carlos Martín United Kingdom	19	1.2k 1.3×	560 2.0×	24 0.1×	26 0.1×	460 3.7×	48	1.3k
Naohiko Hirasawa Japan	14	502 0.5×	26 0.1×	241 1.0×	32 0.1×	15 0.1×	42	605
Manuel Catalán Spain	13	264 0.3×	62 0.2×	11 0.0×	18 0.1×	57 0.5×	38	596
C. E. Webb United States	7	224 0.2×	48 0.2×	115 0.5×	38 0.2×	34 0.3×	19	497

Countries citing papers authored by Xylar Asay‐Davis

Since Specialization

Citations

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

Fields of papers citing papers by Xylar Asay‐Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xylar Asay‐Davis. 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 Xylar Asay‐Davis. The network helps show where Xylar Asay‐Davis may publish in the future.

Co-authorship network of co-authors of Xylar Asay‐Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Xylar Asay‐Davis. A scholar is included among the top collaborators of Xylar Asay‐Davis 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 Xylar Asay‐Davis. Xylar Asay‐Davis 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

Vaňková, Irena, Xylar Asay‐Davis, Darin Comeau, et al.. (2025). Subglacial discharge effects on basal melting of a rotating, idealized ice shelf. The cryosphere. 19(1). 507–523. 2 indexed citations

Rydt, Jan De, Nicolas C. Jourdain, Yoshihiro Nakayama, et al.. (2024). Experimental design for the Marine Ice Sheet–Ocean Model Intercomparison Project – phase 2 (MISOMIP2). Geoscientific model development. 17(18). 7105–7139.

Asay‐Davis, Xylar, et al.. (2022). Ice-shelf ocean boundary layer dynamics from large-eddy simulations. The cryosphere. 16(1). 277–295. 7 indexed citations

Comeau, Darin, Xylar Asay‐Davis, Matthew J. Hoffman, et al.. (2022). The DOE E3SM v1.2 Cryosphere Configuration: Description and Simulated Antarctic Ice‐Shelf Basal Melting. Journal of Advances in Modeling Earth Systems. 14(2). 20 indexed citations

Asay‐Davis, Xylar, et al.. (2021). Ice-shelf ocean boundary layer dynamics from large-eddy simulations. 1 indexed citations

Asay‐Davis, Xylar, Stephen Cornford, Eva A. Cougnon, et al.. (2021). Analysis of the Marine Ice Sheet-Ocean Model Intercomparison Project first phase (MISOMIP1).

Zhang, Tong, Stephen Price, Matthew J. Hoffman, Mauro Perego, & Xylar Asay‐Davis. (2020). Diagnosing the sensitivity of grounding-line flux to changes in sub-ice-shelf melting. The cryosphere. 14(10). 3407–3424. 8 indexed citations

Petersen, Mark, Xylar Asay‐Davis, Andy Berres, et al.. (2019). An Evaluation of the Ocean and Sea Ice Climate of E3SM Using MPAS and Interannual CORE‐II Forcing. Journal of Advances in Modeling Earth Systems. 11(5). 1438–1458. 68 indexed citations

Reese, Ronja, Torsten Albrecht, Matthias Mengel, Xylar Asay‐Davis, & Ricarda Winkelmann. (2018). Antarctic sub-shelf melt rates via PICO. The cryosphere. 12(6). 1969–1985. 89 indexed citations

10.

Pattyn, Frank, Catherine Ritz, Edward Hanna, et al.. (2018). The Greenland and Antarctic ice sheets under 1.5 °C global warming. Nature Climate Change. 8(12). 1053–1061. 145 indexed citations

11.

Petersen, Mark, Xylar Asay‐Davis, Todd D. Ringler, et al.. (2016). Ocean-Ice Shelf Interactions in the Accelerated Climate Model for Energy (ACME). 2016. 1 indexed citations

12.

Dinniman, Michael S., Xylar Asay‐Davis, Benjamin K. Galton‐Fenzi, et al.. (2016). Modeling Ice Shelf/Ocean Interaction in Antarctica: A Review. Oceanography. 29(4). 144–153. 114 indexed citations

13.

Asay‐Davis, Xylar, Stephen Cornford, G. Durand, et al.. (2015). Experimental design for three interrelated Marine Ice-Sheet and Ocean Model Intercomparison Projects. 12 indexed citations

14.

Leguy, Gunter, Xylar Asay‐Davis, & William H. Lipscomb. (2014). Parameterization of basal friction near grounding lines in a one-dimensional ice sheet model. The cryosphere. 8(4). 1239–1259. 45 indexed citations

15.

Go, Christopher, Imke de Pater, Philip Marcus, et al.. (2008). Jupiter's South Equatorial Belt Outbreak Spots and the SEB Fade and Revival Cycle. 1 indexed citations

16.

Marcus, Philip, Xylar Asay‐Davis, Michael H. Wong, Imke de Pater, & Christopher Go. (2008). New Observations and Simulations of Jupiter's Great, Little and Oval Red Spots and Stagnation Points and Their Interactions. 1 indexed citations

17.

Marcus, Philip, Xylar Asay‐Davis, Michael H. Wong, Christopher Go, & Imke de Pater. (2007). Jupiter's New Red Oval -- Its Relation to Global Changes. DPS. 2 indexed citations

18.

Asay‐Davis, Xylar, et al.. (2006). Extraction of Velocity Fields from Telescope Image Pairs of Jupiter's Great Red Spot, New Red Oval, and Zonal Jet Streams. Bulletin of the American Physical Society. 59. 2 indexed citations

19.

Go, Christopher, et al.. (2006). Evolution Of The Oval Ba During 2004-2005. DPS. 4 indexed citations

20.

Marcus, Philip, et al.. (2006). Velocities and Temperatures of Jupiter's Great Red Spot and the New Red Oval and Implications for Global Climate Change. Bulletin of the American Physical Society. 59. 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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