Uno Hämarik

573 total citations
30 papers, 384 citations indexed

About

Uno Hämarik is a scholar working on Mathematical Physics, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Uno Hämarik has authored 30 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mathematical Physics, 25 papers in Applied Mathematics and 9 papers in Computational Mechanics. Recurrent topics in Uno Hämarik's work include Numerical methods in inverse problems (30 papers), Statistical and numerical algorithms (22 papers) and Radiative Heat Transfer Studies (9 papers). Uno Hämarik is often cited by papers focused on Numerical methods in inverse problems (30 papers), Statistical and numerical algorithms (22 papers) and Radiative Heat Transfer Studies (9 papers). Uno Hämarik collaborates with scholars based in Estonia, Germany and Austria. Uno Hämarik's co-authors include Toomas Raus, Ulrich Tautenhahn, Robert Plato, Bernd Hofmann, Elena Resmerita, Barbara Kaltenbacher and Stefan Kindermann and has published in prestigious journals such as Journal of Computational and Applied Mathematics, Inverse Problems and BIT Numerical Mathematics.

In The Last Decade

Uno Hämarik

30 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uno Hämarik Estonia 12 304 186 118 93 72 30 384
M. Yu. Kokurin Russia 8 354 1.2× 130 0.7× 94 0.8× 147 1.6× 21 0.3× 61 434
Robert Plato Germany 10 281 0.9× 96 0.5× 81 0.7× 55 0.6× 47 0.7× 28 385
Toomas Raus Estonia 10 212 0.7× 139 0.7× 96 0.8× 77 0.8× 44 0.6× 21 287
Eberhard Schock Germany 11 380 1.3× 194 1.0× 64 0.5× 56 0.6× 50 0.7× 37 474
Reza Pourgholi Iran 12 276 0.9× 75 0.4× 79 0.7× 38 0.4× 32 0.4× 53 412
Vitalii P. Tanana 3 211 0.7× 124 0.7× 38 0.3× 33 0.4× 24 0.3× 5 307
Yukun Guo China 15 371 1.2× 99 0.5× 74 0.6× 295 3.2× 36 0.5× 43 551
Abdeljalil Nachaoui France 11 318 1.0× 68 0.4× 122 1.0× 25 0.3× 60 0.8× 56 442
Kamil S. Kazimierski Germany 8 304 1.0× 60 0.3× 175 1.5× 136 1.5× 39 0.5× 17 403
A. L. Karchevsky Russia 10 166 0.5× 68 0.4× 117 1.0× 45 0.5× 12 0.2× 54 354

Countries citing papers authored by Uno Hämarik

Since Specialization
Citations

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

Fields of papers citing papers by Uno Hämarik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uno Hämarik

This figure shows the co-authorship network connecting the top 25 collaborators of Uno Hämarik. A scholar is included among the top collaborators of Uno Hämarik 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 Uno Hämarik. Uno Hämarik 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.
Raus, Toomas & Uno Hämarik. (2020). Q-Curve and Area Rules for Choosing Heuristic Parameter in Tikhonov Regularization. Mathematics. 8(7). 1166–1166. 1 indexed citations
2.
Hämarik, Uno, et al.. (2018). Semi-heuristic parameter choice rules for Tikhonov regularisation with operator perturbations. Journal of Inverse and Ill-Posed Problems. 27(1). 117–131. 3 indexed citations
3.
Hämarik, Uno, et al.. (2016). Regularization by discretization in Banach spaces. Inverse Problems. 32(3). 35004–35004. 9 indexed citations
4.
Hämarik, Uno, et al.. (2014). ON THE SELF-REGULARIZATION OF ILL-POSED PROBLEMS BY THE LEAST ERROR PROJECTION METHOD. Mathematical Modelling and Analysis. 19(3). 299–308. 4 indexed citations
5.
Tautenhahn, Ulrich, et al.. (2013). Conditional Stability Estimates for Ill-Posed PDE Problems by Using Interpolation. Numerical Functional Analysis and Optimization. 34(12). 1370–1417. 24 indexed citations
6.
Hämarik, Uno, et al.. (2012). A family of rules for the choice of the regularization parameterin the Lavrentiev method in the case of rough estimate of the noise level ofthe data. Journal of Inverse and Ill-Posed Problems. 20(5-6). 831–854. 2 indexed citations
7.
Hämarik, Uno, et al.. (2011). A family of rules for parameter choice in Tikhonov regularization of ill-posed problems with inexact noise level. Journal of Computational and Applied Mathematics. 236(8). 2146–2157. 34 indexed citations
8.
Raus, Toomas & Uno Hämarik. (2011). On the quasi-optimal rules for the choice of the regularization parameter in case of a noisy operator. Advances in Computational Mathematics. 36(2). 221–233. 3 indexed citations
9.
Hämarik, Uno, et al.. (2010). EXTRAPOLATION OF TIKHONOV REGULARIZATION METHOD. Mathematical Modelling and Analysis. 15(1). 55–68. 7 indexed citations
10.
Hämarik, Uno, et al.. (2010). Comparison of parameter choices in regularization algorithms in case of different information about noise level. CALCOLO. 48(1). 47–59. 11 indexed citations
11.
Hämarik, Uno & Toomas Raus. (2009). About the Balancing Principle for Choice of the Regularization Parameter. Numerical Functional Analysis and Optimization. 30(9-10). 951–970. 19 indexed citations
12.
Hämarik, Uno, et al.. (2009). On Minimization Strategies for Choice of the Regularization Parameter in Ill-Posed Problems. Numerical Functional Analysis and Optimization. 30(9-10). 924–950. 14 indexed citations
13.
Raus, Toomas & Uno Hämarik. (2008). About the balancing principle for choice of the regularization parameter. Journal of Physics Conference Series. 135. 12087–12087. 2 indexed citations
14.
Hämarik, Uno, et al.. (2008). Extrapolation of Tikhonov and Lavrentiev regularization methods. Journal of Physics Conference Series. 135. 12048–12048. 9 indexed citations
15.
Hämarik, Uno, et al.. (2007). ON RULES FOR STOPPING THE CONJUGATE GRADIENT TYPE METHODS IN ILL‐POSED PROBLEMS. Mathematical Modelling and Analysis. 12(1). 61–70. 13 indexed citations
16.
Hämarik, Uno, et al.. (2007). Use of extrapolation in regularization methods. Journal of Inverse and Ill-Posed Problems. 15(3). 277–294. 22 indexed citations
17.
Hämarik, Uno & Toomas Raus. (2006). On the choice of the regularization parameter in ill-posed problems with approximately given noise level of data. Journal of Inverse and Ill-Posed Problems. 14(3). 251–266. 27 indexed citations
18.
Hämarik, Uno & Toomas Raus. (2005). Choice of the regularization parameter in ill-posed problems with rough estimate of the noise level of data. International Conference on Applied Mathematics. 2. 3 indexed citations
19.
Hämarik, Uno & Toomas Raus. (2004). On the choice of the regularization parameter for solving self-adjoint ill-posed problems with the approximately given noise level of data. Proceedings of the Estonian Academy of Sciences Physics Mathematics. 53(2). 77–83. 1 indexed citations
20.
Hämarik, Uno, et al.. (2002). ON THE SOLUTION OF ILL-POSED PROBLEMS BY PROJECTION METHODS WITH A POSTERIORI CHOICE OF THE DISCRETIZATION LEVEL. Mathematical Modelling and Analysis. 7(2). 241–252. 13 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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