Alexander Meister

66 total papers · 955 total citations
29 papers, 540 citations indexed

About

Alexander Meister is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Alexander Meister has authored 29 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 7 papers in Control and Systems Engineering. Recurrent topics in Alexander Meister's work include Statistical Methods and Inference (22 papers), Bayesian Methods and Mixture Models (6 papers) and Control Systems and Identification (6 papers). Alexander Meister is often cited by papers focused on Statistical Methods and Inference (22 papers), Bayesian Methods and Mixture Models (6 papers) and Control Systems and Identification (6 papers). Alexander Meister collaborates with scholars based in Germany, Australia and France. Alexander Meister's co-authors include Aurore Delaigle, Peter Hall, Markus Reiß, Michael H. Neumann, Stefan Hoderlein, Jens‐Peter Kreiß, Hajo Holzmann, Christian Wagner, Jeroen V.K. Rombouts and Ulrich Stadtmüller and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and The Annals of Statistics.

In The Last Decade

Alexander Meister

29 papers receiving 513 citations

Author Peers

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

Author						Papers	Cites
Alexander Meister	359	137	59	58	48	29	540
Yongsong Qin	247 0.7×	155 1.1×	21 0.4×	25 0.4×	21 0.4×	62	474
J. S. Dagpunar	184 0.5×	99 0.7×	46 0.8×	37 0.6×	78 1.6×	40	603
Hyoung‐Moon Kim	217 0.6×	145 1.1×	63 1.1×	15 0.3×	74 1.5×	47	543
Pi‐Erh Lin	370 1.0×	124 0.9×	52 0.9×	60 1.0×	62 1.3×	25	515
Fengrong Wei	434 1.2×	145 1.1×	42 0.7×	78 1.3×	22 0.5×	14	591
Kai Zhang	277 0.8×	124 0.9×	9 0.2×	31 0.5×	28 0.6×	22	607
Benoı̂t Cadre	240 0.7×	165 1.2×	29 0.5×	31 0.5×	31 0.6×	28	501
Wangli Xu	266 0.7×	76 0.6×	20 0.3×	15 0.3×	26 0.5×	69	465
R. M. Phatarfod	107 0.3×	74 0.5×	75 1.3×	20 0.3×	25 0.5×	57	525
Kani Chen	454 1.3×	111 0.8×	20 0.3×	49 0.8×	28 0.6×	36	599

Countries citing papers authored by Alexander Meister

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Meister

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Meister

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