Sarah Iams

430 total citations
14 papers, 230 citations indexed

About

Sarah Iams is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Atmospheric Science. According to data from OpenAlex, Sarah Iams has authored 14 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 3 papers in Nature and Landscape Conservation and 3 papers in Atmospheric Science. Recurrent topics in Sarah Iams's work include Ecosystem dynamics and resilience (5 papers), Ecology and Vegetation Dynamics Studies (3 papers) and COVID-19 epidemiological studies (2 papers). Sarah Iams is often cited by papers focused on Ecosystem dynamics and resilience (5 papers), Ecology and Vegetation Dynamics Studies (3 papers) and COVID-19 epidemiological studies (2 papers). Sarah Iams collaborates with scholars based in United States, United Kingdom and Australia. Sarah Iams's co-authors include David W. Rees Jones, D. L. Feltham, Christopher Horvat, Daniela Flocco, Mary Silber, Mary Lou Zeeman, Karna Gowda, Victoria Lee, Amilcare Porporato and Sara Bonetti and has published in prestigious journals such as Science Advances, Physica D Nonlinear Phenomena and Journal of The Royal Society Interface.

In The Last Decade

Sarah Iams

14 papers receiving 228 citations

Peers

Sarah Iams

GPC

AS

OCEAN

ECOLO

NLC

Cora Kohlmeier Germany

Nils Hempelmann Germany

Yucheng Wang China

Elizabeth D. Clarke United Kingdom

Lewis A. Jones United Kingdom

B. Rognerud Norway

Shiroh Yonezaki Japan

Leena Pasanen Finland

Ariane Verdy United States

Robbin Bastiaansen Netherlands

Cora Kohlmeier Germany

Sarah Iams

110 ×1.0

GPC

37 ×0.4

AS

179 ×3.6

OCEAN

86 ×2.0

ECOLO

14 ×0.4

NLC

Citations per year, relative to Sarah Iams Sarah Iams (= 1×) peers Cora Kohlmeier

Countries citing papers authored by Sarah Iams

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Iams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Iams

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Iams. A scholar is included among the top collaborators of Sarah Iams 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 Sarah Iams. Sarah Iams 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:

14 of 14 papers shown

1.

Iams, Sarah, et al.. (2023). An immuno-epidemiological model for transient immune protection: A case study for viral respiratory infections. Infectious Disease Modelling. 8(3). 855–864. 1 indexed citations

2.

Serra, Mattia, et al.. (2022). Optimal policies for mitigating pandemic costs: a tutorial model. Physical Biology. 19(5). 55001–55001. 2 indexed citations

3.

Budišić, Marko, et al.. (2021). Model and data reduction for data assimilation: Particle filters employing projected forecasts and data with application to a shallow water model. Computers & Mathematics with Applications. 116. 194–211. 12 indexed citations

4.

Bonetti, Sara, et al.. (2020). A fast–slow model of banded vegetation pattern formation in drylands. Physica D Nonlinear Phenomena. 410. 132534–132534. 14 indexed citations

5.

Annapragada, Akshaya V., et al.. (2019). Modeling the Impact of Newcastle Disease Virus Vaccinations on Chicken Production Systems in Northeastern Madagascar. Frontiers in Veterinary Science. 6. 305–305. 13 indexed citations

6.

Iams, Sarah, et al.. (2018). Quantifying resilience to recurrent ecosystem disturbances using flow–kick dynamics. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 43 indexed citations

7.

Iams, Sarah, et al.. (2018). A topographic mechanism for arcing of dryland vegetation bands. Journal of The Royal Society Interface. 15(147). 20180508–20180508. 31 indexed citations

8.

Zeeman, Mary Lou, et al.. (2018). Resilience of socially valued properties of natural systems to repeated disturbance: A framework to support value‐laden management decisions. Natural Resource Modeling. 31(3). 9 indexed citations

9.

Horvat, Christopher, et al.. (2017). The frequency and extent of sub-ice phytoplankton blooms in the Arctic Ocean. Science Advances. 3(3). e1601191–e1601191. 94 indexed citations

10.

Gowda, Karna, Sarah Iams, & Mary Silber. (2017). Dynamics and resilience of vegetation bands in the Horn of Africa. arXiv (Cornell University). 1 indexed citations

11.

Silber, Mary, et al.. (2017). The Role of Different Plant Soil-Water Feedbacks in Models of Dryland Vegetation Patterns. AGUFM. 2017. 1 indexed citations

12.

Iams, Sarah & John Guckenheimer. (2014). Flight Stability of Mosquitos: A Reduced Model. SIAM Journal on Applied Mathematics. 74(5). 1535–1550. 3 indexed citations

13.

Iams, Sarah & Mukul Majumdar. (2010). Stochastic equilibrium: Concepts and computations for Lindley processes. International Journal of Economic Theory. 6(1). 47–56. 3 indexed citations

14.

Iams, Sarah, et al.. (2005). On weakly mixing and doubly ergodic nonsingular actions. Colloquium Mathematicum. 103(2). 247–264. 3 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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