Héctor Sanz

10 total papers · 817 total citations
8 papers, 463 citations indexed

About

Héctor Sanz is a scholar working on Statistics and Probability, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Héctor Sanz has authored 8 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 2 papers in Economics and Econometrics and 1 paper in Molecular Biology. Recurrent topics in Héctor Sanz's work include Advanced Causal Inference Techniques (7 papers), Statistical Methods in Clinical Trials (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Héctor Sanz is often cited by papers focused on Advanced Causal Inference Techniques (7 papers), Statistical Methods in Clinical Trials (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Héctor Sanz collaborates with scholars based in United States, Spain and Netherlands. Héctor Sanz's co-authors include Ferrán Reverter, Clarissa Valim, Josep M. Oller, Esteban Vegas, Chantal Quinten, Joan Largent, Nicolás Ballarini, Francesco Pignatti, Jaclyn L.F. Bosco and Wilhelmina E. Hoogendoorn and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Drug Safety.

In The Last Decade

Héctor Sanz

6 papers receiving 455 citations

Hit Papers

SVM-RFE: selection and vi... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Héctor Sanz 171 102 90 88 48 8 463
Runnan Li 109 0.6× 66 0.6× 45 0.5× 55 0.6× 22 0.5× 8 432
Patrick K. Kimes 204 1.2× 29 0.3× 60 0.7× 52 0.6× 30 0.6× 9 501
Naresh Prodduturi 239 1.4× 71 0.7× 37 0.4× 113 1.3× 23 0.5× 21 452
S. Kataoka 235 1.4× 37 0.4× 87 1.0× 49 0.6× 31 0.6× 28 480
Bojin Su 300 1.8× 84 0.8× 31 0.3× 144 1.6× 43 0.9× 13 470
Christoph Bernau 161 0.9× 109 1.1× 22 0.2× 59 0.7× 80 1.7× 22 479
Yulan Ma 217 1.3× 49 0.5× 154 1.7× 229 2.6× 18 0.4× 16 485
Latchezar Dimitrov 210 1.2× 114 1.1× 39 0.4× 84 1.0× 17 0.4× 18 453
Smarti Reel 292 1.7× 61 0.6× 25 0.3× 69 0.8× 24 0.5× 5 525
Serena G. Liao 243 1.4× 93 0.9× 59 0.7× 125 1.4× 24 0.5× 19 520

Countries citing papers authored by Héctor Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Sanz

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

All Works

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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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