Eckhard Liebscher

45 total papers · 767 total citations
37 papers, 516 citations indexed

About

Eckhard Liebscher is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Eckhard Liebscher has authored 37 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 8 papers in Finance. Recurrent topics in Eckhard Liebscher's work include Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (12 papers) and Advanced Statistical Methods and Models (11 papers). Eckhard Liebscher is often cited by papers focused on Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (12 papers) and Advanced Statistical Methods and Models (11 papers). Eckhard Liebscher collaborates with scholars based in Germany, Czechia and United States. Eckhard Liebscher's co-authors include Lothar Heinrich, Klaus‐Vitold Jenderka, Wolf‐Dieter Richter, Andreas F. Kopp, Waltraud Kahle, Manuel Úbeda-Flores, Fernando Chamizo and Franziska Taubert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuzzy Sets and Systems and Computational Statistics & Data Analysis.

In The Last Decade

Eckhard Liebscher

36 papers receiving 477 citations

Author Peers

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

Author						Papers	Cites
Eckhard Liebscher	307	230	124	97	52	37	516
José Juan Quesada-Molina	251 0.8×	360 1.6×	70 0.6×	215 2.2×	45 0.9×	33	591
Lawrence A. Klimko	310 1.0×	189 0.8×	102 0.8×	64 0.7×	69 1.3×	16	539
Taoufik Bouezmarni	270 0.9×	172 0.7×	151 1.2×	29 0.3×	79 1.5×	35	461
Stanislav Volgushev	375 1.2×	183 0.8×	138 1.1×	57 0.6×	114 2.2×	36	608
Miao Bai-qi	280 0.9×	122 0.5×	109 0.9×	65 0.7×	93 1.8×	47	513
Tertius de Wet	345 1.1×	248 1.1×	69 0.6×	58 0.6×	61 1.2×	58	546
Marjorie G. Hahn	205 0.7×	259 1.1×	72 0.6×	121 1.2×	64 1.2×	44	607
Ulla Holst	242 0.8×	74 0.3×	114 0.9×	67 0.7×	58 1.1×	28	613
Ali Gannoun	316 1.0×	110 0.5×	99 0.8×	77 0.8×	37 0.7×	44	454
Aleksandar S. Nastić	408 1.3×	360 1.6×	110 0.9×	106 1.1×	81 1.6×	23	540

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

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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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