Lígia Henriques‐Rodrigues

453 total citations
32 papers, 245 citations indexed

About

Lígia Henriques‐Rodrigues is a scholar working on Finance, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, Lígia Henriques‐Rodrigues has authored 32 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Finance, 16 papers in Statistics and Probability and 14 papers in General Economics, Econometrics and Finance. Recurrent topics in Lígia Henriques‐Rodrigues's work include Financial Risk and Volatility Modeling (26 papers), Monetary Policy and Economic Impact (14 papers) and Statistical Methods and Inference (11 papers). Lígia Henriques‐Rodrigues is often cited by papers focused on Financial Risk and Volatility Modeling (26 papers), Monetary Policy and Economic Impact (14 papers) and Statistical Methods and Inference (11 papers). Lígia Henriques‐Rodrigues collaborates with scholars based in Portugal, Brazil and Mexico. Lígia Henriques‐Rodrigues's co-authors include M. Ivette Gomes, Laurens de Haan, Frederico Caeiro, Dínis Pestana, Fernanda Figueiredo, Isabel Fraga Alves, Miguel de Carvalho, Regina Bispo, Russell Alpizar‐Jara and M. Manuela Neves and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Applied Sciences.

In The Last Decade

Lígia Henriques‐Rodrigues

26 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lígia Henriques‐Rodrigues Portugal 7 220 122 87 78 64 32 245
Frederico Caeiro Portugal 12 292 1.3× 190 1.6× 111 1.3× 105 1.3× 60 0.9× 54 369
Viktor Tsyrennikov United States 7 146 0.7× 83 0.7× 84 1.0× 15 0.2× 121 1.9× 16 261
Changli He Sweden 9 398 1.8× 79 0.6× 171 2.0× 32 0.4× 297 4.6× 18 446
Gunther Matthys Belgium 6 259 1.2× 173 1.4× 53 0.6× 79 1.0× 104 1.6× 7 387
Genaro Sucarrat Norway 12 251 1.1× 31 0.3× 124 1.4× 24 0.3× 294 4.6× 31 396
Fernanda Figueiredo Portugal 10 148 0.7× 161 1.3× 54 0.6× 46 0.6× 51 0.8× 32 317
William R. Parke United States 7 189 0.9× 71 0.6× 127 1.5× 18 0.2× 218 3.4× 15 367
Alessandro Juri Switzerland 5 312 1.4× 94 0.8× 49 0.6× 43 0.6× 169 2.6× 6 383
Sabrina Mulinacci Italy 9 205 0.9× 63 0.5× 38 0.4× 13 0.2× 104 1.6× 22 276
Mika Meitz Finland 10 223 1.0× 107 0.9× 110 1.3× 8 0.1× 138 2.2× 21 297

Countries citing papers authored by Lígia Henriques‐Rodrigues

Since Specialization
Citations

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

Fields of papers citing papers by Lígia Henriques‐Rodrigues

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lígia Henriques‐Rodrigues. 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 Lígia Henriques‐Rodrigues. The network helps show where Lígia Henriques‐Rodrigues may publish in the future.

Co-authorship network of co-authors of Lígia Henriques‐Rodrigues

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

All Works

20 of 20 papers shown
1.
Henriques‐Rodrigues, Lígia, Frederico Caeiro, & M. Ivette Gomes. (2024). A New Class of Reduced-Bias Generalized Hill Estimators. Mathematics. 12(18). 2866–2866. 1 indexed citations
2.
Henriques‐Rodrigues, Lígia, Frederico Caeiro, & M. Ivette Gomes. (2024). Improvements in the estimation of the Weibull tail coefficient: A comparative study. Mathematical Methods in the Applied Sciences. 47(11). 8255–8274.
3.
Gomes, M. Ivette, et al.. (2024). Extreme Value Index Estimation for Pareto-Type Tails under Random Censorship and via Generalized Means. Applied Sciences. 14(19). 8671–8671. 1 indexed citations
4.
Henriques‐Rodrigues, Lígia, M. Ivette Gomes, & Dínis Pestana. (2022). Statistics of Extremes in Athletics. SHILAP Revista de lepidopterología. 3 indexed citations
5.
Gomes, M. Ivette, Lígia Henriques‐Rodrigues, & Dínis Pestana. (2022). Non-regular Frameworks and the Mean-of-Order p Extreme Value Index Estimation. Journal of Statistical Theory and Practice. 16(3). 2 indexed citations
6.
Figueiredo, Fernanda, M. Ivette Gomes, & Lígia Henriques‐Rodrigues. (2022). Value-at-Risk Estimation and the Port Mean-of-Order-P Methodology. SHILAP Revista de lepidopterología. 7 indexed citations
7.
Gomes, M. Ivette, et al.. (2022). Mean-of-Order-p Location-Invariant Extreme Value Index Estimation. SHILAP Revista de lepidopterología.
8.
Henriques‐Rodrigues, Lígia & M. Ivette Gomes. (2022). High Quantile Estimation and the Port Methodology. SHILAP Revista de lepidopterología.
9.
Caeiro, Frederico, et al.. (2020). Minimum‐variance reduced‐bias estimation of the extreme value index: A theoretical and empirical study. Computational and Mathematical Methods. 2(4). 5 indexed citations
10.
Gomes, M. Ivette, Frederico Caeiro, Fernanda Figueiredo, Lígia Henriques‐Rodrigues, & Dínis Pestana. (2020). Reduced-bias and partially reduced-bias mean-of-order-pvalue-at-risk estimation: a Monte-Carlo comparison and an application. Journal of Statistical Computation and Simulation. 90(10). 1735–1752. 2 indexed citations
11.
Caeiro, Frederico, et al.. (2019). A simple class of reduced bias kernel estimators of extreme value parameters. Computational and Mathematical Methods. 1(3). e1025–e1025. 3 indexed citations
12.
Henriques‐Rodrigues, Lígia, et al.. (2018). Swimming performance index based on extreme value theory. International Journal of Sports Science & Coaching. 14(1). 51–62. 2 indexed citations
13.
Henriques‐Rodrigues, Lígia & M. Ivette Gomes. (2017). Location-invariant reduced-bias tail index estimation under a third-order framework. Journal of Statistical Theory and Practice. 12(2). 206–230. 3 indexed citations
14.
Caeiro, Frederico, M. Ivette Gomes, & Lígia Henriques‐Rodrigues. (2014). A location-invariant probability weighted moment estimation of the Extreme Value Index. International Journal of Computer Mathematics. 93(4). 676–695. 6 indexed citations
15.
Figueiredo, Fernanda, et al.. (2011). A computational study of a quasi-PORT methodology for VaR based on second-order reduced-bias estimation. Journal of Statistical Computation and Simulation. 82(4). 587–602. 9 indexed citations
16.
Gomes, M. Ivette & Lígia Henriques‐Rodrigues. (2010). A heuristic choice of tuning parameters in a location invariant reduced-bias estimation of the extreme value index: Application to financial log-returns and simulated data. Information Technology Interfaces. 527–532.
17.
Gomes, M. Ivette, et al.. (2010). A simulation study of invariant second-order reduced-bias Extreme value index estimators. 533–538.
18.
Caeiro, Frederico, M. Ivette Gomes, & Lígia Henriques‐Rodrigues. (2009). Reduced-Bias Tail Index Estimators Under a Third-Order Framework. Communication in Statistics- Theory and Methods. 38(7). 1019–1040. 38 indexed citations
19.
Gomes, M. Ivette & Lígia Henriques‐Rodrigues. (2008). Tail index estimation for heavy tails: accommodation of bias in the excesses over a high threshold. Extremes. 11(3). 303–328. 5 indexed citations
20.
Gomes, M. Ivette, Laurens de Haan, & Lígia Henriques‐Rodrigues. (2007). Tail Index Estimation for Heavy-Tailed Models: Accommodation of Bias in Weighted Log-Excesses. Journal of the Royal Statistical Society Series B (Statistical Methodology). 70(1). 31–52. 87 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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