Stephan Smeekes

77 total papers · 705 total citations
21 papers, 331 citations indexed

About

Stephan Smeekes is a scholar working on General Economics, Econometrics and Finance, Statistics and Probability and Finance. According to data from OpenAlex, Stephan Smeekes has authored 21 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in General Economics, Econometrics and Finance, 11 papers in Statistics and Probability and 10 papers in Finance. Recurrent topics in Stephan Smeekes's work include Monetary Policy and Economic Impact (14 papers), Statistical Methods and Inference (10 papers) and Financial Risk and Volatility Modeling (10 papers). Stephan Smeekes is often cited by papers focused on Monetary Policy and Economic Impact (14 papers), Statistical Methods and Inference (10 papers) and Financial Risk and Volatility Modeling (10 papers). Stephan Smeekes collaborates with scholars based in Netherlands, Germany and China. Stephan Smeekes's co-authors include Jean‐Pierre Urbain, Franz C. Palm, Robert Taylor, Alain Hecq, Thomas Götz, Joakim Westerlund, Giuseppe Cavaliere, Peter C.B. Phillips, Christophe Hurlin and Ines Wilms and has published in prestigious journals such as Journal of Econometrics, Journal of Statistical Software and International Journal of Forecasting.

In The Last Decade

Stephan Smeekes

20 papers receiving 313 citations

Author Peers

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

Author Last Decade Papers Cites
Stephan Smeekes 208 159 93 47 27 21 331
Flávio Augusto Ziegelmann 217 1.0× 84 0.5× 175 1.9× 71 1.5× 39 1.4× 29 351
Peng Wang 174 0.8× 104 0.7× 70 0.8× 26 0.6× 24 0.9× 19 353
J. H. C. Lisman 155 0.7× 140 0.9× 78 0.8× 44 0.9× 50 1.9× 10 302
Yong Song 145 0.7× 69 0.4× 80 0.9× 17 0.4× 25 0.9× 23 278
Matheus R. Grasselli 187 0.9× 82 0.5× 144 1.5× 12 0.3× 35 1.3× 28 326
Guillaume Chevillon 193 0.9× 164 1.0× 100 1.1× 28 0.6× 112 4.1× 33 356
Ping Yu 125 0.6× 94 0.6× 58 0.6× 115 2.4× 11 0.4× 24 273
Francesca Di Iorio 149 0.7× 79 0.5× 50 0.5× 50 1.1× 41 1.5× 43 251
Zhentao Shi 193 0.9× 87 0.5× 52 0.6× 73 1.6× 23 0.9× 28 302
Lorenzo Pascual 165 0.8× 116 0.7× 173 1.9× 59 1.3× 89 3.3× 10 318

Countries citing papers authored by Stephan Smeekes

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Smeekes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Smeekes

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