Andrea Barth

66 total papers · 804 total citations
27 papers, 463 citations indexed

About

Andrea Barth is a scholar working on Finance, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, Andrea Barth has authored 27 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Finance, 12 papers in Statistics, Probability and Uncertainty and 8 papers in Computational Theory and Mathematics. Recurrent topics in Andrea Barth's work include Stochastic processes and financial applications (16 papers), Probabilistic and Robust Engineering Design (12 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Andrea Barth is often cited by papers focused on Stochastic processes and financial applications (16 papers), Probabilistic and Robust Engineering Design (12 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Andrea Barth collaborates with scholars based in Germany, Switzerland and Norway. Andrea Barth's co-authors include Christoph Schwab, Annika Lang, Fred Espen Benth, Assyr Abdulle, Jürgen Potthoff, Andreas Stein, Raimund Bürger, Christian Rohde, Christoph Schulz and Miriam Butt and has published in prestigious journals such as Computers & Chemical Engineering, Numerische Mathematik and Mathematics and Computers in Simulation.

In The Last Decade

Andrea Barth

24 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
Andrea Barth	259	157	140	137	98	27	463
Annika Lang	108 0.4×	194 1.2×	108 0.8×	93 0.7×	65 0.7×	40	481
L. Villafuerte	225 0.9×	70 0.4×	89 0.6×	18 0.1×	108 1.1×	31	501
Thomas Müller-Gronbach	87 0.3×	312 2.0×	113 0.8×	102 0.7×	204 2.1×	34	523
Marc Jornet	150 0.6×	33 0.2×	46 0.3×	33 0.2×	81 0.8×	86	475
Drew Kouri	231 0.9×	47 0.3×	192 1.4×	100 0.7×	93 0.9×	40	451
Wilfried Grecksch	35 0.1×	269 1.7×	108 0.8×	24 0.2×	64 0.7×	36	491
Paul Krée	62 0.2×	81 0.5×	99 0.7×	27 0.2×	40 0.4×	22	487
G.N. Mil'shtein	43 0.2×	221 1.4×	32 0.2×	60 0.4×	67 0.7×	19	427
Anargyros Papageorgiou	86 0.3×	41 0.3×	114 0.8×	44 0.3×	242 2.5×	31	426
J. G. Gaines	36 0.1×	258 1.6×	79 0.6×	43 0.3×	81 0.8×	11	435

Countries citing papers authored by Andrea Barth

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Barth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Barth

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