Mark Petersen

4.2k total citations
76 papers, 1.7k citations indexed

About

Mark Petersen is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Mark Petersen has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 32 papers in Oceanography and 28 papers in Global and Planetary Change. Recurrent topics in Mark Petersen's work include Oceanographic and Atmospheric Processes (31 papers), Climate variability and models (27 papers) and Meteorological Phenomena and Simulations (23 papers). Mark Petersen is often cited by papers focused on Oceanographic and Atmospheric Processes (31 papers), Climate variability and models (27 papers) and Meteorological Phenomena and Simulations (23 papers). Mark Petersen collaborates with scholars based in United States, Germany and United Kingdom. Mark Petersen's co-authors include Mathew Maltrud, Daniel Livescu, Todd D. Ringler, Matthew Hecht, James Ahrens, Keith Julien, S. Redner, G. R. Stewart, Philip W. Jones and Robert L. Higdon and has published in prestigious journals such as Journal of the American Chemical Society, The Astrophysical Journal and Journal of Climate.

In The Last Decade

Mark Petersen

72 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Petersen United States	21	625	546	469	322	159	76	1.7k
François Lekien United States	19	518 0.8×	839 1.5×	231 0.5×	635 2.0×	226 1.4×	27	3.2k
Allison H. Baker United States	17	292 0.5×	198 0.4×	301 0.6×	274 0.9×	83 0.5×	46	1.3k
Todd D. Ringler United States	28	2.0k 3.1×	773 1.4×	1.5k 3.2×	445 1.4×	39 0.2×	60	2.6k
Ross Heikes United States	11	538 0.9×	169 0.3×	439 0.9×	164 0.5×	32 0.2×	14	875
Stephan Hoyer United States	14	791 1.3×	192 0.4×	669 1.4×	173 0.5×	90 0.6×	33	2.8k
John R. Baumgardner United States	25	490 0.8×	157 0.3×	210 0.4×	335 1.0×	47 0.3×	68	2.7k
Jeffrey B. Weiss United States	24	554 0.9×	464 0.8×	439 0.9×	650 2.0×	27 0.2×	52	1.6k
Mohammad Farazmand United States	15	246 0.4×	223 0.4×	170 0.4×	442 1.4×	28 0.2×	32	1.0k
R. Sadourny France	22	1.6k 2.6×	762 1.4×	1.3k 2.7×	726 2.3×	44 0.3×	51	2.8k
John B. Drake United States	14	764 1.2×	206 0.4×	471 1.0×	429 1.3×	36 0.2×	48	1.4k

Countries citing papers authored by Mark Petersen

Since Specialization

Citations

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

Fields of papers citing papers by Mark Petersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Petersen. A scholar is included among the top collaborators of Mark Petersen 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 Mark Petersen. Mark Petersen 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

Comeau, Darin, S. D. Price, Xylar Asay‐Davis, et al.. (2025). The DOE E3SM v2.1 Cryosphere configuration: Antarctic ice-shelf basal melt projections through 2100.

Ogle, Patrick, et al.. (2025). SDSO1 is a Ghost Planetary Nebula Bow Shock in Front of M31. ArXiv.org.

Engwirda, Darren, et al.. (2024). Local time-stepping for the shallow water equations using CFL optimized forward-backward Runge-Kutta schemes. Journal of Computational Physics. 520. 113511–113511. 2 indexed citations

Pal, Nairita, Mark Petersen, Steven Brus, et al.. (2023). Barotropic tides in MPAS-Ocean (E3SM V2): impact of ice shelf cavities. Geoscientific model development. 16(4). 1297–1314. 8 indexed citations

Brus, Steven, Nairita Pal, Andrew Roberts, et al.. (2023). Scalable self attraction and loading calculations for unstructured ocean tide models. Ocean Modelling. 182. 102160–102160. 3 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

Veneziani, Milena, Wieslaw Maslowski, Younjoo Lee, et al.. (2022). An evaluation of the E3SMv1 Arctic ocean and sea-ice regionally refined model. Geoscientific model development. 15(7). 3133–3160. 6 indexed citations

Petersen, Mark, et al.. (2022). Stability, coupling, and the partly-folded states of Topoisomerase V. Biophysical Journal. 121(3). 21a–22a. 1 indexed citations

Evans, Katherine J., et al.. (2021). A Scalable Semi‐Implicit Barotropic Mode Solver for the MPAS‐Ocean. Journal of Advances in Modeling Earth Systems. 13(4). 3 indexed citations

10.

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

11.

Petersen, Mark, Xylar Asay‐Davis, Andy Berres, et al.. (2018). An evaluation of the ocean and sea ice climate of E3SM using MPAS and interannual CORE-II forcing. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

12.

Petersen, Mark, Xylar Asay‐Davis, Mathew Maltrud, et al.. (2018). MPAS Ocean User's Guide V6. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

13.

Petersen, Mark, et al.. (2018). Tracer transport within an unstructured grid ocean model using characteristic discontinuous Galerkin advection. Computers & Mathematics with Applications. 78(2). 611–622. 1 indexed citations

14.

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

15.

Petersen, Mark, et al.. (2015). A study of overflow simulations using MPAS-Ocean: Vertical grids, resolution, and viscosity. Ocean Modelling. 96. 291–313. 17 indexed citations

16.

O’Leary, Patrick, et al.. (2015). Cinema image-based in situ analysis and visualization of MPAS-ocean simulations. Parallel Computing. 55. 43–48. 28 indexed citations

17.

Woodring, Jonathan, et al.. (2015). In Situ Eddy Analysis in a High-Resolution Ocean Climate Model. IEEE Transactions on Visualization and Computer Graphics. 22(1). 857–866. 48 indexed citations

18.

Petersen, Mark, Sean Williams, Mathew Maltrud, Matthew Hecht, & Bernd Hamann. (2013). A three‐dimensional eddy census of a high‐resolution global ocean simulation. Journal of Geophysical Research Oceans. 118(4). 1759–1774. 79 indexed citations

19.

Julien, Keith, et al.. (2006). Merger and alignment in a reduced model for three-dimensional quasigeostrophic ellipsoidal vortices. Physics of Fluids. 18(5). 9 indexed citations

20.

Logan, J. David, Mark Petersen, & Thomas S. Shores. (2002). Numerical study of reaction-mineralogy-porosity changes in porous media. Applied Mathematics and Computation. 127(2-3). 149–164. 7 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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