U. G. Haussmann

52 total papers · 1.6k total citations
29 papers, 830 citations indexed

About

U. G. Haussmann is a scholar working on Finance, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, U. G. Haussmann has authored 29 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Finance, 8 papers in Control and Systems Engineering and 8 papers in Computational Theory and Mathematics. Recurrent topics in U. G. Haussmann's work include Stochastic processes and financial applications (16 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Stability and Controllability of Differential Equations (5 papers). U. G. Haussmann is often cited by papers focused on Stochastic processes and financial applications (16 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Stability and Controllability of Differential Equations (5 papers). U. G. Haussmann collaborates with scholars based in Canada, United States and Austria. U. G. Haussmann's co-authors include Étienne Pardoux, Peter Falb, Nikolai Dokuchaev, A. Boyarsky and William J. Anderson and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, SIAM Review and SIAM Journal on Control and Optimization.

In The Last Decade

U. G. Haussmann

27 papers receiving 668 citations

Author Peers

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

Author						Papers	Cites
U. G. Haussmann	493	209	177	128	124	29	830
J. L. Menaldi	496 1.0×	218 1.0×	285 1.6×	168 1.3×	128 1.0×	57	887
Marco Fuhrman	582 1.2×	271 1.3×	195 1.1×	86 0.7×	69 0.6×	49	712
Daniel Ocone	611 1.2×	142 0.7×	71 0.4×	187 1.5×	138 1.1×	32	885
Gianmario Tessitore	515 1.0×	321 1.5×	263 1.5×	75 0.6×	60 0.5×	44	699
Rajeeva L. Karandikar	394 0.8×	120 0.6×	95 0.5×	120 0.9×	188 1.5×	64	901
Aurel Răşcanu	629 1.3×	187 0.9×	218 1.2×	95 0.7×	62 0.5×	33	836
Frank Proske	710 1.4×	88 0.4×	119 0.7×	160 1.3×	166 1.3×	57	838
Andreas Neuenkirch	588 1.2×	96 0.5×	105 0.6×	84 0.7×	51 0.4×	34	715
Nicolas Victoir	747 1.5×	80 0.4×	205 1.2×	84 0.7×	85 0.7×	19	1.0k
Uwe Küchler	633 1.3×	86 0.4×	77 0.4×	176 1.4×	200 1.6×	44	997

Countries citing papers authored by U. G. Haussmann

Since Specialization

Citations

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

Fields of papers citing papers by U. G. Haussmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. G. Haussmann. 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 U. G. Haussmann. The network helps show where U. G. Haussmann may publish in the future.

Co-authorship network of co-authors of U. G. Haussmann

This figure shows the co-authorship network connecting the top 25 collaborators of U. G. Haussmann. A scholar is included among the top collaborators of U. G. Haussmann 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 U. G. Haussmann. U. G. Haussmann 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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