Deborah Sulsky

5.4k total citations · 2 hit papers
52 papers, 3.9k citations indexed

About

Deborah Sulsky is a scholar working on Computational Mechanics, Mechanics of Materials and Atmospheric Science. According to data from OpenAlex, Deborah Sulsky has authored 52 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Mechanics, 14 papers in Mechanics of Materials and 12 papers in Atmospheric Science. Recurrent topics in Deborah Sulsky's work include Fluid Dynamics Simulations and Interactions (19 papers), Arctic and Antarctic ice dynamics (12 papers) and Numerical methods in engineering (9 papers). Deborah Sulsky is often cited by papers focused on Fluid Dynamics Simulations and Interactions (19 papers), Arctic and Antarctic ice dynamics (12 papers) and Numerical methods in engineering (9 papers). Deborah Sulsky collaborates with scholars based in United States, Australia and Netherlands. Deborah Sulsky's co-authors include H. L. Schreyer, Zhen Chen, J. U. Brackbill, Scott Bardenhagen, R. Kwok, Edwin Love, Max D. Coon, D. Burgess, Kara Peterson and M. Ortíz and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Geophysical Research Atmospheres and Journal of Computational Physics.

In The Last Decade

Deborah Sulsky

51 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A particle method for history-dependent materials

1994 1.2k citations Deborah Sulsky, Zhen Chen et al. Computer Methods in Applied Mechanics and Engineering profile →
Application of a particle-in-cell method to solid mechanics

1995 750 citations Deborah Sulsky, H. L. Schreyer et al. profile →

Peers

Deborah Sulsky

CM

MM

CSE

MC

MMPL

Antoinette Tordesillas Australia

Éric Clément France

Ferenc Kun Hungary

John F. Peters United States

G. R. Liu Singapore

Farhang Radjaï France

Gioacchino Viggiani France

François Chevoir France

Moubin Liu China

John W. Rudnicki United States

Antoinette Tordesillas Australia

Deborah Sulsky

1.8k ×0.6

CM

1.1k ×0.7

MM

1.3k ×1.4

CSE

446 ×0.8

MC

1.4k ×2.7

MMPL

Citations per year, relative to Deborah Sulsky Deborah Sulsky (= 1×) peers Antoinette Tordesillas

Countries citing papers authored by Deborah Sulsky

Since Specialization

Citations

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

Fields of papers citing papers by Deborah Sulsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Sulsky

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Golden, Kenneth M., Luke G. Bennetts, Elena Cherkaev, et al.. (2020). Modeling Sea Ice. Notices of the American Mathematical Society. 67(10). 1–1. 16 indexed citations

2.

Schreyer, H. L. & Deborah Sulsky. (2015). Constitutive and numerical framework for modeling joints and faults in rock. International Journal for Numerical and Analytical Methods in Geomechanics. 40(9). 1253–1283. 8 indexed citations

3.

Schreyer, H. L., et al.. (2014). Blast‐induced rock fracture near a tunnel. International Journal for Numerical and Analytical Methods in Geomechanics. 39(1). 23–50. 13 indexed citations

4.

Baker, T. Vernon, et al.. (2011). Modeling Tunnel Response to Wave Propagation in Jointed Rock with the Material Point Method. Bulletin of the American Physical Society. 1 indexed citations

5.

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

6.

Levy, Gad, Max D. Coon, Giang D. Nguyen, & Deborah Sulsky. (2010). Physically-based data assimilation. Geoscientific model development. 3(2). 669–677. 6 indexed citations

7.

Kwok, R. & Deborah Sulsky. (2010). Arctic Ocean Sea Ice Thickness and Kinematics: Satellite Retrievals and Modeling. Oceanography. 23(4). 134–143. 27 indexed citations

8.

Sulsky, Deborah. (2002). A Numerical Study of Compaction of Dry Granular Material. MRS Proceedings. 759. 1 indexed citations

9.

Sulsky, Deborah, et al.. (2000). Fluid–membrane interaction based on the material point method. International Journal for Numerical Methods in Engineering. 48(6). 901–924. 1 indexed citations

10.

Sulsky, Deborah, et al.. (2000). Fluid-membrane interaction based on the material point method. International Journal for Numerical Methods in Engineering. 48(6). 901–924. 131 indexed citations

11.

Bardenhagen, Scott, J. U. Brackbill, & Deborah Sulsky. (2000). The material-point method for granular materials. Computer Methods in Applied Mechanics and Engineering. 187(3-4). 529–541. 323 indexed citations

12.

Sulsky, Deborah, Zhen Chen, & H. L. Schreyer. (1994). A particle method for history-dependent materials. Computer Methods in Applied Mechanics and Engineering. 118(1-2). 179–196. 1151 indexed citations breakdown →

13.

Sulsky, Deborah, et al.. (1994). Row Ordering for a Sparse QR Decomposition. SIAM Journal on Matrix Analysis and Applications. 15(4). 1208–1225. 12 indexed citations

14.

Sulsky, Deborah. (1993). Numerical solution of structured population models. Journal of Mathematical Biology. 31(8). 817–839. 36 indexed citations

15.

Burgess, D., Deborah Sulsky, & J. U. Brackbill. (1992). Mass matrix formulation of the FLIP particle-in-cell method. Journal of Computational Physics. 103(1). 1–15. 88 indexed citations

16.

Sulsky, Deborah, Zhen Chen, & H. L. Schreyer. (1992). The application of a material-spatial numerical method to penetration. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 8 indexed citations

17.

Sulsky, Deborah. (1991). A numerical method for suspension flow. Journal of Computational Physics. 94(1). 250–250. 3 indexed citations

18.

Sulsky, Deborah, Richard R. Vance, & William I. Newman. (1989). Time delays in age-structured populations. Journal of Theoretical Biology. 141(3). 403–422. 13 indexed citations

19.

Vance, Richard R., William I. Newman, & Deborah Sulsky. (1988). The demographic meanings of the classical population growth models of ecology. Theoretical Population Biology. 33(2). 199–225. 18 indexed citations

20.

Sulsky, Deborah, Stephen Childress, & J. K. Percus. (1984). A model of cell sorting. Journal of Theoretical Biology. 106(3). 275–301. 36 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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