Fabio Sigrist

59 total papers · 602 total citations
20 papers, 339 citations indexed

About

Fabio Sigrist is a scholar working on Economics and Econometrics, Finance and Artificial Intelligence. According to data from OpenAlex, Fabio Sigrist has authored 20 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 6 papers in Finance and 4 papers in Artificial Intelligence. Recurrent topics in Fabio Sigrist's work include Soil Geostatistics and Mapping (4 papers), Financial Markets and Investment Strategies (4 papers) and Spatial and Panel Data Analysis (4 papers). Fabio Sigrist is often cited by papers focused on Soil Geostatistics and Mapping (4 papers), Financial Markets and Investment Strategies (4 papers) and Spatial and Panel Data Analysis (4 papers). Fabio Sigrist collaborates with scholars based in Switzerland, France and Senegal. Fabio Sigrist's co-authors include Francesco Audrino, Reinhard Furrer, Werner A. Stahel, Hans R. Künsch, Lorenz Walthert, Sylvain Piry, Émile Faye, Marie‐Pierre Chapuis, Julien Papaïx and Thierry Brévault and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Fabio Sigrist

18 papers receiving 323 citations

Hit Papers

The impact of sentiment a... 2019 2026 2021 2023 2019 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Fabio Sigrist 193 146 112 49 38 20 339
Zisheng Ouyang 192 1.0× 92 0.6× 47 0.4× 46 0.9× 27 0.7× 24 350
Simon Behrendt 209 1.1× 146 1.0× 91 0.8× 25 0.5× 21 0.6× 14 312
Vincenzo Pacelli 185 1.0× 137 0.9× 81 0.7× 89 1.8× 50 1.3× 28 339
Francesco Audrino 195 1.0× 215 1.5× 116 1.0× 33 0.7× 26 0.7× 13 321
Gurjeet Dhesi 207 1.1× 95 0.7× 37 0.3× 23 0.5× 16 0.4× 29 354
Véronique Genre 206 1.1× 83 0.6× 138 1.2× 20 0.4× 21 0.6× 16 393
Tao Ye 139 0.7× 41 0.3× 28 0.3× 41 0.8× 44 1.2× 26 393
Luciana Dalla Valle 69 0.4× 97 0.7× 54 0.5× 21 0.4× 68 1.8× 36 399
Changqing Luo 201 1.0× 140 1.0× 48 0.4× 71 1.4× 34 0.9× 27 317
Iordanis Eleftheriadis 108 0.6× 59 0.4× 60 0.5× 51 1.0× 20 0.5× 31 344

Countries citing papers authored by Fabio Sigrist

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Sigrist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Sigrist

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