Lysa Porth

443 total citations
33 papers, 308 citations indexed

About

Lysa Porth is a scholar working on Soil Science, Economics and Econometrics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Lysa Porth has authored 33 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Soil Science, 17 papers in Economics and Econometrics and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Lysa Porth's work include Agricultural risk and resilience (28 papers), Insurance and Financial Risk Management (15 papers) and Climate change impacts on agriculture (8 papers). Lysa Porth is often cited by papers focused on Agricultural risk and resilience (28 papers), Insurance and Financial Risk Management (15 papers) and Climate change impacts on agriculture (8 papers). Lysa Porth collaborates with scholars based in Canada, Singapore and China. Lysa Porth's co-authors include Milton S. Boyd, Ken Seng Tan, Wenjun Zhu, Jeffrey Pai, Chengguo Weng, Hong Li, Ke Wang, Kai Liu, Chou‐Wen Wang and Qiao Zhang and has published in prestigious journals such as Sustainability, Journal of Risk & Insurance and Insurance Mathematics and Economics.

In The Last Decade

Lysa Porth

32 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lysa Porth Canada	11	169	106	78	71	65	33	308
Apurba Shee United Kingdom	11	144 0.9×	121 1.1×	78 1.0×	84 1.2×	73 1.1×	26	423
Joshua D. Woodard United States	15	419 2.5×	282 2.7×	141 1.8×	91 1.3×	109 1.7×	35	611
David Mfitumukiza Uganda	10	83 0.5×	35 0.3×	103 1.3×	32 0.5×	116 1.8×	29	353
Tor N. Tolhurst Canada	6	220 1.3×	69 0.7×	130 1.7×	118 1.7×	57 0.9×	13	432
Willemijn Vroege Switzerland	7	93 0.6×	57 0.5×	70 0.9×	31 0.4×	59 0.9×	7	193
Godfrey Kundhlande United States	8	114 0.7×	51 0.5×	113 1.4×	44 0.6×	83 1.3×	16	371
Makoto Nohmi Japan	10	176 1.0×	60 0.6×	60 0.8×	47 0.7×	99 1.5×	25	475
Abebe Birara Dessie Ethiopia	10	123 0.7×	41 0.4×	51 0.7×	61 0.9×	67 1.0×	16	361
Krishna Raj Tiwari Nepal	11	63 0.4×	37 0.3×	61 0.8×	40 0.6×	169 2.6×	37	378

Countries citing papers authored by Lysa Porth

Since Specialization

Citations

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

Fields of papers citing papers by Lysa Porth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lysa Porth

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

Porth, Lysa, et al.. (2022). Assessing the Effectiveness of the Actuaries Climate Index for Estimating the Impact of Extreme Weather on Crop Yield and Insurance Applications. Sustainability. 14(11). 6916–6916. 9 indexed citations

Boyd, Milton S., et al.. (2020). The Design of Weather Index Insurance Using Principal Component Regression and Partial Least Squares Regression: The Case of Forage Crops. North American Actuarial Journal. 24(3). 355–369. 13 indexed citations

Li, Hong, Lysa Porth, Ken Seng Tan, & Wenjun Zhu. (2020). Improved index insurance design and yield estimation using a dynamic factor forecasting approach. Insurance Mathematics and Economics. 96. 208–221. 9 indexed citations

Boyd, Milton S., et al.. (2019). Factors affecting the use of forage index insurance. Agricultural Finance Review. 79(5). 565–581. 6 indexed citations

Zhu, Wenjun, Ken Seng Tan, & Lysa Porth. (2019). Agricultural Insurance Ratemaking: Development of a New Premium Principle. North American Actuarial Journal. 23(4). 512–534. 13 indexed citations

Porth, Lysa, et al.. (2019). Improving agricultural microinsurance by applying universal kriging and generalised additive models for interpolation of mean daily temperature. The Geneva Papers on Risk and Insurance Issues and Practice. 44(3). 446–480. 17 indexed citations

Wang, Xikui, You Liang, & Lysa Porth. (2018). A Bayesian two‐armed bandit model. Applied Stochastic Models in Business and Industry. 35(3). 624–636. 1 indexed citations

Zhu, Wenjun, Lysa Porth, & Ken Seng Tan. (2018). A credibility-based yield forecasting model for crop reinsurance pricing and weather risk management. Agricultural Finance Review. 79(1). 2–26. 14 indexed citations

Wang, Ke, et al.. (2017). A bootstrap approach for pricing crop yield insurance. China Agricultural Economic Review. 9(2). 225–237. 1 indexed citations

10.

Zhu, Wenjun, Ken Seng Tan, & Lysa Porth. (2016). On a Class of Premium Calculation Principles Based on the Multivariate Weighted Distribution. SSRN Electronic Journal. 2 indexed citations

11.

Porth, Lysa, Milton S. Boyd, & Jeffrey Pai. (2016). Reducing Risk Through Pooling and Selective Reinsurance Using Simulated Annealing: An Example from Crop Insurance. The Geneva Risk and Insurance Review. 41(2). 163–191. 8 indexed citations

12.

Porth, Lysa, et al.. (2016). The Potential to Use Futures and Options to Manage Crop Insurance Losses. AgEcon Search (University of Minnesota, USA). 1 indexed citations

13.

Boyd, Milton S., et al.. (2015). Factors affecting farmers’ willingness to purchase weather index insurance in the Hainan Province of China. Agricultural Finance Review. 75(1). 103–113. 20 indexed citations

14.

Zhu, Wenjun, Lysa Porth, & Ken Seng Tan. (2015). A Credibility-Based Yield Forecasting Model for Crop Reinsurance Pricing and Weather Risk Management. SSRN Electronic Journal. 8 indexed citations

15.

Zhu, Wenjun, Ken Seng Tan, Lysa Porth, & Chou‐Wen Wang. (2015). Spatial Dependence & Aggregation in Weather Risk Hedging. SSRN Electronic Journal. 1 indexed citations

16.

Pai, Jeffrey, Milton S. Boyd, & Lysa Porth. (2014). Insurance Premium Calculation Using Credibility Analysis: An Example From Livestock Mortality Insurance. Journal of Risk & Insurance. 82(2). 341–357. 10 indexed citations

17.

Porth, Lysa, Wenjun Zhu, & Ken Seng Tan. (2014). A credibility-based Erlang mixture model for pricing crop reinsurance. Agricultural Finance Review. 74(2). 162–187. 24 indexed citations

18.

Porth, Lysa, Ken Seng Tan, & Chengguo Weng. (2013). Optimal reinsurance analysis from a crop insurer's perspective. Agricultural Finance Review. 73(2). 310–328. 21 indexed citations

19.

Boyd, Milton S., Jeffrey Pai, & Lysa Porth. (2013). Livestock mortality insurance: development and challenges. Agricultural Finance Review. 73(2). 233–244. 8 indexed citations

20.

Porth, Lysa, Ken Seng Tan, & Chengguo Weng. (2012). Optimal Reinsurance Analysis from a Crop Insurer's Perspective. SSRN Electronic Journal. 2 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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