Kara Peterson

523 total citations
34 papers, 276 citations indexed

About

Kara Peterson is a scholar working on Computational Mechanics, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Kara Peterson has authored 34 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 11 papers in Atmospheric Science and 8 papers in Global and Planetary Change. Recurrent topics in Kara Peterson's work include Advanced Numerical Methods in Computational Mathematics (11 papers), Computational Fluid Dynamics and Aerodynamics (9 papers) and Arctic and Antarctic ice dynamics (7 papers). Kara Peterson is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (11 papers), Computational Fluid Dynamics and Aerodynamics (9 papers) and Arctic and Antarctic ice dynamics (7 papers). Kara Peterson collaborates with scholars based in United States, United Kingdom and Japan. Kara Peterson's co-authors include Pavel Bochev, Deborah Sulsky, R. Kwok, H. L. Schreyer, Max D. Coon, Denis Ridzal, Xujiao Gao, Mauro Perego, Marta D’Elia and Harold Edwards and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Kara Peterson

30 papers receiving 264 citations

Peers

Kara Peterson

EEE

CTM

David J. Gardner United States

Igor Shevchenko Russia

Jeffrey M. Connors United States

Tristan Pryer United Kingdom

Jules Kouatchou United States

Tongke Wang China

Sidi Mahmoud Kaber France

Adam Larios United States

Melina A. Freitag United Kingdom

Cristòbal E. Castro Italy

David J. Gardner United States

Kara Peterson

72 ×0.5

46 ×0.7

23 ×0.4

23 ×0.5

EEE

14 ×0.4

CTM

Citations per year, relative to Kara Peterson Kara Peterson (= 1×) peers David J. Gardner

Countries citing papers authored by Kara Peterson

Since Specialization

Citations

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

Fields of papers citing papers by Kara Peterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kara Peterson

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

Hu, Allen H., Ziming Ke, Xiaohong Liu, et al.. (2025). Size-resolved process understanding of stratospheric sulfate aerosol following the Pinatubo eruption. Atmospheric chemistry and physics. 25(19). 12137–12157.

Peterson, Matt A., et al.. (2025). Random forest regression feature importance for climate impact pathway detection. Journal of Computational and Applied Mathematics. 464. 116479–116479. 6 indexed citations

Tezaur, Irina, et al.. (2025). Spatio-temporal multivariate cluster evolution analysis for detecting and tracking climate impacts. Journal of Computational and Applied Mathematics. 465. 116583–116583. 1 indexed citations

Peterson, Kara, Pavel Bochev, & Denis Ridzal. (2024). Optimization-based, property-preserving algorithm for passive tracer transport. Computers & Mathematics with Applications. 159. 267–286. 1 indexed citations

Bochev, Pavel, et al.. (2023). Interface flux recovery framework for constructing partitioned heterogeneous time‐integration methods. Numerical Methods for Partial Differential Equations. 39(5). 3572–3593. 2 indexed citations

Turner, Adrian K., Kara Peterson, & Dan Bolintineanu. (2022). Geometric remapping of particle distributions in the Discrete Element Model for Sea Ice (DEMSI v0.0). Geoscientific model development. 15(5). 1953–1970. 2 indexed citations

Turner, Adrian K., Kara Peterson, & Dan Bolintineanu. (2021). Geometric remapping of particle distributions in the Discrete Element Model for Sea Ice (DEMSI v0.0). 1 indexed citations

Peterson, Kara, et al.. (2021). Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate change. Journal of Computational and Applied Mathematics. 395. 113451–113451. 12 indexed citations

Peterson, Kara, et al.. (2020). Interface Flux Recovery coupling method for the ocean–atmosphere system. Results in Applied Mathematics. 8. 100110–100110. 8 indexed citations

10.

Bochev, Pavel, et al.. (2017). An Optimization-Based Approach for Elliptic Problems with Interfaces. SIAM Journal on Scientific Computing. 39(5). S757–S781. 7 indexed citations

11.

D’Elia, Marta, Denis Ridzal, Kara Peterson, Pavel Bochev, & Mikhail Shashkov. (2016). Optimization-based mesh correction with volume and convexity constraints. Journal of Computational Physics. 313. 455–477. 10 indexed citations

12.

Bochev, Pavel, et al.. (2015). A Conservative Optimization-based Semi-Lagrangian Spectral Element Method for Passive Tracer Transport.. QRU Quaderns de Recerca en Urbanisme. 23–34. 3 indexed citations

13.

Bochev, Pavel, Kara Peterson, & Mauro Perego. (2015). A multiscale control volume finite element method for advection–diffusion equations. International Journal for Numerical Methods in Fluids. 77(11). 641–667. 4 indexed citations

14.

Bochev, Pavel & Kara Peterson. (2013). A parameter-free stabilized finite element method for scalar advection-diffusion problems. Open Mathematics. 11(8). 13 indexed citations

15.

Bochev, Pavel & Kara Peterson. (2012). A new control volume finite element method for the stable and accurate solution of the drift-diffusion equations on general unstructured grids.. International Journal for Numerical Methods in Engineering.

16.

Bochev, Pavel, Kara Peterson, & Xujiao Gao. (2012). A new Control Volume Finite Element Method for the stable and accurate solution of the drift–diffusion equations on general unstructured grids. Computer Methods in Applied Mechanics and Engineering. 254. 126–145. 23 indexed citations

17.

Bochev, Pavel, Kara Peterson, & Christopher Siefert. (2011). Analysis and Computation of Compatible Least-Squares Methods for div-curl Equations. SIAM Journal on Numerical Analysis. 49(1). 159–181. 7 indexed citations

18.

Peterson, Kara & Deborah Sulsky. (2010). Towards a New Model of Arctic Sea Ice.. Physica A Statistical Mechanics and its Applications.

19.

Yue, Xicai, Kara Peterson, Holger G. Krapp, & Emmanuel M. Drakakis. (2010). A Low-Power Low-Distortion Amplifier for Fly Neural Recordings. International Conference on Bioinformatics and Biomedical Engineering. 39. 1–4. 2 indexed citations

20.

Peterson, Kara, et al.. (2001). Hard and Deeply Buried Target Defeat Capability Analysis of Alternatives Lethality Approach. Defense Technical Information Center (DTIC). 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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