Maria Haase

1.1k total citations
27 papers, 803 citations indexed

About

Maria Haase is a scholar working on Statistical and Nonlinear Physics, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Maria Haase has authored 27 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 6 papers in Mechanics of Materials and 5 papers in Civil and Structural Engineering. Recurrent topics in Maria Haase's work include Complex Systems and Time Series Analysis (5 papers), Composite Structure Analysis and Optimization (4 papers) and Structural Analysis and Optimization (3 papers). Maria Haase is often cited by papers focused on Complex Systems and Time Series Analysis (5 papers), Composite Structure Analysis and Optimization (4 papers) and Structural Analysis and Optimization (3 papers). Maria Haase collaborates with scholars based in Germany, Portugal and Sweden. Maria Haase's co-authors include John Argyris, Gunter Faust, Hans-Peter Mlejnek, Juan C. Heinrich, R. Friedrich, Pedro G. Lind, P.C. Dunne, Michał Kleiber, H. Balmer and J.St. Doltsinis and has published in prestigious journals such as Physical Review Letters, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Maria Haase

27 papers receiving 756 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Haase Germany 15 275 251 200 129 123 27 803
Guanwei Luo China 19 206 0.7× 396 1.6× 135 0.7× 344 2.7× 22 0.2× 60 983
HongGuang Sun China 15 446 1.6× 481 1.9× 90 0.5× 377 2.9× 960 7.8× 24 2.2k
Xiao-Biao Lin United States 16 282 1.0× 298 1.2× 176 0.9× 313 2.4× 177 1.4× 47 1.1k
Л. Д. Акуленко Russia 14 297 1.1× 113 0.5× 48 0.2× 200 1.6× 61 0.5× 190 1.0k
Denis Blackmore United States 20 182 0.7× 283 1.1× 46 0.2× 158 1.2× 62 0.5× 119 1.5k
K. Djidjeli United Kingdom 21 343 1.2× 252 1.0× 137 0.7× 61 0.5× 313 2.5× 69 1.2k
W. S. Loud United States 13 113 0.4× 129 0.5× 125 0.6× 149 1.2× 143 1.2× 31 952
James Geer United States 18 113 0.4× 124 0.5× 70 0.3× 57 0.4× 114 0.9× 70 938
G. Hariharan India 20 117 0.4× 282 1.1× 35 0.2× 47 0.4× 390 3.2× 69 954

Countries citing papers authored by Maria Haase

Since Specialization
Citations

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

Fields of papers citing papers by Maria Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Haase

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Haase. A scholar is included among the top collaborators of Maria Haase 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 Maria Haase. Maria Haase 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
1.
Argyris, John, Gunter Faust, Maria Haase, & R. Friedrich. (2017). Die Erforschung des Chaos. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
2.
Plath, P, et al.. (2017). Selforganized Structure Formation in Organized Microstructuring by Laser-Jet Etching. International Journal of Bifurcation and Chaos. 27(1). 1750001–1750001. 1 indexed citations
3.
Argyris, John, Gunter Faust, Maria Haase, & R. Friedrich. (2015). An Exploration of Dynamical Systems and Chaos: Completely Revised and Enlarged Second Edition. 11 indexed citations
4.
Raischel, Frank, Ana Russo, Maria Haase, David Kleinhans, & Pedro G. Lind. (2012). Searching for optimal variables in real multivariate stochastic data. Physics Letters A. 376(30-31). 2081–2089. 5 indexed citations
5.
Vasconcelos, Vítor V., Frank Raischel, Maria Haase, et al.. (2011). Principal axes for stochastic dynamics. Physical Review E. 84(3). 31103–31103. 10 indexed citations
6.
Carvalho, J., Frank Raischel, Maria Haase, & Pedro G. Lind. (2011). Evaluating strong measurement noise in data series with simulated annealing method. Journal of Physics Conference Series. 285. 12007–12007. 2 indexed citations
7.
Lind, Pedro G., et al.. (2010). Extracting strong measurement noise from stochastic time series: Applications to empirical data. Physical Review E. 81(4). 41125–41125. 23 indexed citations
8.
Peinke, Joachim, et al.. (2006). Reconstruction of Complex Dynamical Systems Affected by Strong Measurement Noise. Physical Review Letters. 97(9). 90603–90603. 65 indexed citations
9.
Haase, Maria, et al.. (2005). Discrete model for laser driven etching and microstructuring of metallic surfaces. Physical Review E. 72(6). 61604–61604. 12 indexed citations
10.
Lind, Pedro G., et al.. (2005). Reducing stochasticity in the North Atlantic Oscillation index with coupled Langevin equations. Physical Review E. 72(5). 56706–56706. 20 indexed citations
11.
Haase, Maria, et al.. (2003). Damage identification based on ridges and maxima lines of the wavelet transform. International Journal of Engineering Science. 41(13-14). 1423–1443. 42 indexed citations
12.
Guha, Supratik, G. M. Haugen, Hao-Tien Cheng, et al.. (2002). Microstructure related degradation in II-VI based blue/blue green light emitters. 1. 337–337. 1 indexed citations
13.
Haase, Maria, et al.. (2002). SCALING LAWS AND FREQUENCY DECOMPOSITION FROM WAVELET TRANSFORM MAXIMA LINES AND RIDGES. 365–374. 2 indexed citations
14.
Argyris, John, Gunter Faust, & Maria Haase. (1994). Die Erforschung des Chaos. 26 indexed citations
15.
Argyris, John, Gunter Faust, & Maria Haase. (1993). Routes to chaos and turbulence. A computational introduction. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 344(1671). 207–234. 17 indexed citations
16.
Argyris, John & Maria Haase. (1987). An engineer's guide to soliton phenomena: Application of the finite element method. Computer Methods in Applied Mechanics and Engineering. 61(1). 71–122. 69 indexed citations
17.
Argyris, John, et al.. (1986). TRUNC for shells—an element possibly to the taste of Bruce Irons. International Journal for Numerical Methods in Engineering. 22(1). 93–115. 15 indexed citations
18.
Argyris, John, Maria Haase, & Hans-Peter Mlejnek. (1982). Some considerations on the natural approach. Computer Methods in Applied Mechanics and Engineering. 30(3). 335–346. 12 indexed citations
19.
Argyris, John, Maria Haase, & Hans-Peter Mlejnek. (1980). On an unconventional but natural formation of a stiffness matrix. Computer Methods in Applied Mechanics and Engineering. 22(1). 1–22. 34 indexed citations
20.
Argyris, John, H. Balmer, J.St. Doltsinis, et al.. (1979). Finite element method — the natural approach. Computer Methods in Applied Mechanics and Engineering. 17-18. 1–106. 193 indexed citations

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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