Eckhard Liebscher

773 citations
37 papers · 518 indexed · h-index 10
Topics
Statistical Methods and Inference (19 papers)Bayesian Methods and Mixture Models (12 papers)Advanced Statistical Methods and Models (11 papers)
Journals
SHILAP Revista de lepidopterologíaFuzzy Sets and SystemsComputational Statistics & Data Analysis

In The Last Decade

Eckhard Liebscher

36 papers receiving 479 citations

Peers

Eckhard Liebscher
Comparison fields: 5 of 67
  • Statistics and Probability 309
  • Finance 229
  • Artificial Intelligence 125
  • Management Science and Operations Research 97
  • Economics and Econometrics 52
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Tertius de Wet South Africa
Jan-Frederik Mai Germany
Zhibiao Zhao United States
José Juan Quesada-Molina Spain
Zuoxiang Peng China
Reg Kulperger Canada
Gérard Gregoire France
Clément Dombry France
Taoufik Bouezmarni Canada
Gabriel Frahm Germany
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Citations per field
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Citations per year

Countries citing papers authored by Eckhard Liebscher

Since Specialization
Citations

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

Fields of papers citing papers by Eckhard Liebscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eckhard Liebscher

This figure shows the co-authorship network connecting the top 25 collaborators of Eckhard Liebscher. A scholar is included among the top collaborators of Eckhard Liebscher 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 Eckhard Liebscher. Eckhard Liebscher 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
#WorkIndexed citations
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SEMIPARAMETRIC ESTIMATION OF THE PARAMETERS OF MULTIVARIATE COPULAS
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11 165
12 9
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17 91
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About Eckhard Liebscher

Eckhard Liebscher is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 37 papers that have together received 518 indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (12 papers) and Advanced Statistical Methods and Models (11 papers). The work is most often cited by research in Statistics and Probability (309 citations), Finance (229 citations) and Management Science and Operations Research (97 citations). Eckhard Liebscher has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Lothar Heinrich, Wolf‐Dieter Richter, Klaus‐Vitold Jenderka, Andreas F. Kopp, Waltraud Kahle, Fernando Chamizo, Franziska Taubert and Manuel Úbeda-Flores. Their work appears in journals such as SHILAP Revista de lepidopterología, Fuzzy Sets and Systems and Computational Statistics & Data Analysis.

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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