G. Peichl

551 total citations
24 papers, 364 citations indexed

About

G. Peichl is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Mathematical Physics. According to data from OpenAlex, G. Peichl has authored 24 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 14 papers in Computational Mechanics and 12 papers in Mathematical Physics. Recurrent topics in G. Peichl's work include Advanced Mathematical Modeling in Engineering (19 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Numerical methods in inverse problems (11 papers). G. Peichl is often cited by papers focused on Advanced Mathematical Modeling in Engineering (19 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Numerical methods in inverse problems (11 papers). G. Peichl collaborates with scholars based in Austria, United States and Czechia. G. Peichl's co-authors include Karl Kunisch, Kazufumi Ito, Jaroslav Haslinger, Wilhelm Schappacher, Tomáš Kozubek, Franz Kappel, Rachid Touzani, Radek Kučera, Amel Ben Abda and Barbara Kaltenbacher and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

G. Peichl

22 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Peichl Austria 12 203 165 131 129 65 24 364
S. Kesavan India 10 275 1.4× 115 0.7× 72 0.5× 123 1.0× 21 0.3× 31 365
Denise Chenais France 12 280 1.4× 199 1.2× 66 0.5× 174 1.3× 146 2.2× 21 428
Djalil Kateb France 10 118 0.6× 60 0.4× 171 1.3× 92 0.7× 42 0.6× 25 283
Mariano Mateos Spain 11 391 1.9× 413 2.5× 75 0.6× 126 1.0× 7 0.1× 39 496
Abdeljalil Nachaoui France 11 164 0.8× 122 0.7× 318 2.4× 205 1.6× 34 0.5× 56 442
Cédric Galusinski France 9 148 0.7× 191 1.2× 50 0.4× 34 0.3× 17 0.3× 22 388
Franco Tomarelli Italy 13 313 1.5× 86 0.5× 128 1.0× 104 0.8× 29 0.4× 55 518
Cristinel Mardare France 14 289 1.4× 190 1.2× 85 0.6× 223 1.7× 74 1.1× 85 583
Karsten Eppler Germany 14 193 1.0× 186 1.1× 141 1.1× 162 1.3× 88 1.4× 24 373
Ana L. Silvestre Portugal 13 150 0.7× 164 1.0× 149 1.1× 105 0.8× 21 0.3× 29 442

Countries citing papers authored by G. Peichl

Since Specialization
Citations

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

Fields of papers citing papers by G. Peichl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Peichl

This figure shows the co-authorship network connecting the top 25 collaborators of G. Peichl. A scholar is included among the top collaborators of G. Peichl 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 G. Peichl. G. Peichl 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.
Peichl, G., et al.. (2015). A free boundary problem for the Stokes equations. ESAIM Control Optimisation and Calculus of Variations. 23(1). 195–215. 6 indexed citations
2.
Peichl, G., et al.. (2014). The Second-Order Shape Derivative of Kohn–Vogelius-Type Cost Functional Using the Boundary Differentiation Approach. Mathematics. 2(4). 196–217. 2 indexed citations
3.
Peichl, G., et al.. (2013). On the First-Order Shape Derivative of the Kohn-Vogelius Cost Functional of the Bernoulli Problem. Abstract and Applied Analysis. 2013. 1–19. 14 indexed citations
4.
Abda, Amel Ben, et al.. (2013). A Dirichlet–Neumann cost functional approach for the Bernoulli problem. Journal of Engineering Mathematics. 81(1). 157–176. 17 indexed citations
5.
Haslinger, Jaroslav, Kazufumi Ito, Tomáš Kozubek, Karl Kunisch, & G. Peichl. (2009). On the shape derivative for problems of Bernoulli type. Interfaces and Free Boundaries Mathematical Analysis Computation and Applications. 11(2). 317–330. 24 indexed citations
6.
Ito, Kazufumi, Karl Kunisch, & G. Peichl. (2008). Variational approach to shape derivatives. ESAIM Control Optimisation and Calculus of Variations. 14(3). 517–539. 45 indexed citations
7.
Haslinger, Jaroslav, Tomáš Kozubek, Radek Kučera, & G. Peichl. (2007). Projected Schur complement method for solving non‐symmetric systems arising from a smooth fictitious domain approach. Numerical Linear Algebra with Applications. 14(9). 713–739. 15 indexed citations
8.
Peichl, G. & Rachid Touzani. (2007). An optimal order finite element method for elliptic interface problems. PAMM. 7(1). 1025403–1025404. 1 indexed citations
9.
Ito, Kazufumi, Karl Kunisch, & G. Peichl. (2005). Variational approach to shape derivatives for a class of Bernoulli problems. Journal of Mathematical Analysis and Applications. 314(1). 126–149. 46 indexed citations
10.
Haslinger, Jaroslav, Tomáš Kozubek, Karl Kunisch, & G. Peichl. (2003). An embedding domain approach for a class of 2-d shape optimization problems: mathematical analysis. Journal of Mathematical Analysis and Applications. 290(2). 665–685. 14 indexed citations
11.
Haslinger, Jaroslav, Karl Kunisch, & G. Peichl. (2003). Shape Optimization and Fictitious Domain Approach for Solving Free Boundary Problems of Bernoulli Type. Computational Optimization and Applications. 26(3). 231–251. 51 indexed citations
12.
Kunisch, Karl & G. Peichl. (2001). Numerical Gradients for Shape Optimization Based on Embedding Domain Techniques. Computational Optimization and Applications. 18(2). 95–114. 7 indexed citations
13.
Peichl, G. & Wolfgang Ring. (1999). Asymptotic commutativity of differentiation and discretization in shape optimization. Mathematical and Computer Modelling. 29(5). 19–37. 2 indexed citations
14.
Peichl, G., et al.. (1998). Asymptotic analysis of stabilizability of a control system for a discretized boundary damped wave equation. Numerical Functional Analysis and Optimization. 19(1-2). 91–113. 2 indexed citations
15.
Kunisch, Karl, Katherine A. Murphy, & G. Peichl. (1993). Estimation of the conductivity in the one-phase Stefan problem : numerical results. ESAIM Mathematical Modelling and Numerical Analysis. 27(5). 613–650. 1 indexed citations
16.
Ito, Kazufumi, Franz Kappel, & G. Peichl. (1991). A Fully Discretized Approximation Scheme for Size-Structured Population Models. SIAM Journal on Numerical Analysis. 28(4). 923–954. 31 indexed citations
17.
Kunisch, Karl & G. Peichl. (1991). Estimation of a temporally and spatially varying diffusion coefficient in a parabolic system by an augmented Lagrangian technique. Numerische Mathematik. 59(1). 473–509. 21 indexed citations
18.
Burns, John A. & G. Peichl. (1989). Preservation of controllability under approximation and controllability radii for hereditary systems. Differential and Integral Equations. 2(4). 2 indexed citations
19.
Kunisch, Karl & G. Peichl. (1988). On the shape of the solutions of second order parabolic partial differential equations. Journal of Differential Equations. 75(2). 329–353. 5 indexed citations
20.
Peichl, G. & Wilhelm Schappacher. (1986). Constrained Controllability in Banach Spaces. SIAM Journal on Control and Optimization. 24(6). 1261–1275. 31 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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