J.H.J. Einmahl

221 total papers · 2.6k total citations
79 papers, 1.4k citations indexed

About

J.H.J. Einmahl is a scholar working on Statistics and Probability, Finance and Economics and Econometrics. According to data from OpenAlex, J.H.J. Einmahl has authored 79 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Statistics and Probability, 44 papers in Finance and 14 papers in Economics and Econometrics. Recurrent topics in J.H.J. Einmahl's work include Financial Risk and Volatility Modeling (40 papers), Statistical Methods and Inference (36 papers) and Statistical Distribution Estimation and Applications (18 papers). J.H.J. Einmahl is often cited by papers focused on Financial Risk and Volatility Modeling (40 papers), Statistical Methods and Inference (36 papers) and Statistical Distribution Estimation and Applications (18 papers). J.H.J. Einmahl collaborates with scholars based in Netherlands, Belgium and United States. J.H.J. Einmahl's co-authors include Laurens de Haan, Arnold Dekkers, David M. Mason, Chen Zhou, Paul Deheuvels, Juan‐Juan Cai, V. I. Piterbarg, Ingrid Van Keilegom, Jan R. Magnus and Johan Segers and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

J.H.J. Einmahl

73 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
J.H.J. Einmahl 919 683 351 334 191 79 1.4k
Ishay Weissman 742 0.8× 425 0.6× 238 0.7× 376 1.1× 151 0.8× 52 1.3k
Kilani Ghoudi 881 1.0× 536 0.8× 378 1.1× 286 0.9× 158 0.8× 43 1.6k
Armelle Guillou 821 0.9× 633 0.9× 224 0.6× 453 1.4× 154 0.8× 98 1.3k
Marius Hofert 694 0.8× 409 0.6× 312 0.9× 202 0.6× 278 1.5× 71 1.3k
Johanna Nešlehová 1.0k 1.1× 741 1.1× 437 1.2× 182 0.5× 422 2.2× 54 1.7k
Holger Drees 959 1.0× 441 0.6× 389 1.1× 269 0.8× 140 0.7× 37 1.1k
Michael Falk 607 0.7× 585 0.9× 169 0.5× 186 0.6× 161 0.8× 92 1.2k
A. A. Balkema 703 0.8× 345 0.5× 349 1.0× 261 0.8× 223 1.2× 23 1.3k
M. Ivette Gomes 1.5k 1.6× 939 1.4× 403 1.1× 555 1.7× 169 0.9× 134 1.8k
Piotr Jaworski 622 0.7× 289 0.4× 308 0.9× 119 0.4× 180 0.9× 65 1.1k

Countries citing papers authored by J.H.J. Einmahl

Since Specialization
Citations

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

Fields of papers citing papers by J.H.J. Einmahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.H.J. Einmahl. 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 J.H.J. Einmahl. The network helps show where J.H.J. Einmahl may publish in the future.

Co-authorship network of co-authors of J.H.J. Einmahl

This figure shows the co-authorship network connecting the top 25 collaborators of J.H.J. Einmahl. A scholar is included among the top collaborators of J.H.J. Einmahl 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 J.H.J. Einmahl. J.H.J. Einmahl 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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