Baasansuren Jadamba

935 total citations
33 papers, 285 citations indexed

About

Baasansuren Jadamba is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Baasansuren Jadamba has authored 33 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 14 papers in Mathematical Physics and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Baasansuren Jadamba's work include Numerical methods in inverse problems (13 papers), Optimization and Variational Analysis (11 papers) and Ultrasound Imaging and Elastography (6 papers). Baasansuren Jadamba is often cited by papers focused on Numerical methods in inverse problems (13 papers), Optimization and Variational Analysis (11 papers) and Ultrasound Imaging and Elastography (6 papers). Baasansuren Jadamba collaborates with scholars based in United States, Spain and Italy. Baasansuren Jadamba's co-authors include Akhtar A. Khan, Fabio Raciti, Miguel Sama, Mark S. Gockenbach, Joachim Gwinner, Guillermo Rus, Francesca Faraci, Christiane Tammer, Hans-Jörg Starkloff and M. Pappalardo and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications and Systems & Control Letters.

In The Last Decade

Baasansuren Jadamba

33 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baasansuren Jadamba United States 10 145 105 65 42 41 33 285
Miguel Sama Spain 12 329 2.3× 83 0.8× 48 0.7× 23 0.5× 21 0.5× 50 392
Torsten Hein Germany 10 37 0.3× 238 2.3× 40 0.6× 90 2.1× 14 0.3× 16 295
Christiane Pöschl Austria 5 40 0.3× 195 1.9× 34 0.5× 63 1.5× 15 0.4× 6 236
Timo Tiihonen Finland 10 106 0.7× 142 1.4× 68 1.0× 16 0.4× 3 0.1× 29 330
Afet Golayoğlu Fatullayev Türkiye 12 74 0.5× 155 1.5× 83 1.3× 10 0.2× 27 336
Thomas Lachand-Robert France 12 172 1.2× 64 0.6× 25 0.4× 11 0.3× 1 0.0× 21 388
Veronika Pillwein Austria 8 92 0.6× 13 0.1× 83 1.3× 7 0.2× 4 0.1× 31 236
Ömür Uğur Türkiye 12 40 0.3× 16 0.2× 26 0.4× 31 0.7× 2 0.0× 38 298
M. A. Connor United Kingdom 4 177 1.2× 33 0.3× 19 0.3× 15 0.4× 5 0.1× 15 435
Jukka Kemppainen Finland 10 39 0.3× 63 0.6× 68 1.0× 8 0.2× 8 0.2× 21 317

Countries citing papers authored by Baasansuren Jadamba

Since Specialization
Citations

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

Fields of papers citing papers by Baasansuren Jadamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baasansuren Jadamba

This figure shows the co-authorship network connecting the top 25 collaborators of Baasansuren Jadamba. A scholar is included among the top collaborators of Baasansuren Jadamba 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 Baasansuren Jadamba. Baasansuren Jadamba 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.
Jadamba, Baasansuren, et al.. (2021). An iteratively regularized stochastic gradient method for estimating a random parameter in a stochastic PDE. A variational inequality approach. Journal of Nonlinear and Variational Analysis. 5(6). 3 indexed citations
2.
Gwinner, Joachim, Baasansuren Jadamba, Akhtar A. Khan, & Fabio Raciti. (2021). Uncertainty Quantification in Variational Inequalities. 19 indexed citations
3.
Jadamba, Baasansuren, Akhtar A. Khan, Stanisław Migórski, & Miguel Sama. (2021). Deterministic and Stochastic Optimal Control and Inverse Problems. Homo Politicus (Academy of Humanities and Economics in Lodz). 6 indexed citations
4.
Jadamba, Baasansuren, et al.. (2020). Three optimization formulations for an inverse problem in saddle point problems with applications to elasticity imaging of locating tumor in incompressible medium. Journal of Nonlinear and Variational Analysis. 4. 1 indexed citations
5.
Jadamba, Baasansuren, Akhtar A. Khan, Michael S. Richards, & Miguel Sama. (2020). A convex inversion framework for identifying parameters in saddle point problems with applications to inverse incompressible elasticity †. Inverse Problems. 36(7). 74003–74003. 4 indexed citations
6.
Jadamba, Baasansuren, M. Pappalardo, & Fabio Raciti. (2018). Efficiency and Vulnerability Analysis for Congested Networks with Random Data. Journal of Optimization Theory and Applications. 177(2). 563–583. 5 indexed citations
7.
Jadamba, Baasansuren, Akhtar A. Khan, Miguel Sama, & Christiane Tammer. (2017). On convex modified output least-squares for elliptic inverse problems: stability, regularization, applications, and numerics. Optimization. 66(6). 983–1012. 3 indexed citations
8.
Jadamba, Baasansuren, et al.. (2017). A migration equilibrium model with uncertain data and movement costs. Decisions in Economics and Finance. 40(1-2). 159–175. 9 indexed citations
9.
Faraci, Francesca, Baasansuren Jadamba, & Fabio Raciti. (2016). On Stochastic Variational Inequalities with Mean Value Constraints. Journal of Optimization Theory and Applications. 171(2). 675–693. 8 indexed citations
10.
Jadamba, Baasansuren, et al.. (2015). Identification of Flexural Rigidity in a Kirchhoff Plates Model Using a Convex Objective and Continuous Newton Method. Mathematical Problems in Engineering. 2015. 1–11. 2 indexed citations
11.
Jadamba, Baasansuren & Fabio Raciti. (2014). Variational Inequality Approach to Stochastic Nash Equilibrium Problems with an Application to Cournot Oligopoly. Journal of Optimization Theory and Applications. 165(3). 1050–1070. 19 indexed citations
12.
Doyley, Marvin M., et al.. (2014). A New Energy Inversion for Parameter Identification in Saddle Point Problems with an Application to the Elasticity Imaging Inverse Problem of Predicting Tumor Location. Numerical Functional Analysis and Optimization. 35(7-9). 984–1017. 7 indexed citations
13.
Jadamba, Baasansuren, et al.. (2014). A New Convex Inversion Framework for Parameter Identification in Saddle Point Problems with an Application to the Elasticity Imaging Inverse Problem of Predicting Tumor Location. SIAM Journal on Applied Mathematics. 74(5). 1486–1510. 22 indexed citations
14.
Jadamba, Baasansuren & Fabio Raciti. (2013). On the Modeling of Some Environmental Games with Uncertain Data. Journal of Optimization Theory and Applications. 167(3). 959–968. 5 indexed citations
15.
Gockenbach, Mark S., et al.. (2013). An equation error approach for the elasticity imaging inverse problem for predicting tumor location. Computers & Mathematics with Applications. 67(1). 122–135. 20 indexed citations
16.
Jadamba, Baasansuren, Akhtar A. Khan, & Fabio Raciti. (2013). Regularization of stochastic variational inequalities and a comparison of an and a sample-path approach. Nonlinear Analysis. 94. 65–83. 12 indexed citations
17.
Jadamba, Baasansuren, Akhtar A. Khan, & Miguel Sama. (2011). Generalized solutions of quasi variational inequalities. Optimization Letters. 6(7). 1221–1231. 11 indexed citations
18.
Eck, C., Baasansuren Jadamba, & Peter Knabner. (2010). Error Estimates for a Finite Element Discretization of a Phase Field Model for Mixtures. SIAM Journal on Numerical Analysis. 47(6). 4429–4445. 4 indexed citations
19.
Jadamba, Baasansuren, Akhtar A. Khan, & Fabio Raciti. (2008). On the inverse problem of identifying Lamé coefficients in linear elasticity. Computers & Mathematics with Applications. 56(2). 431–443. 39 indexed citations
20.
Gockenbach, Mark S., Baasansuren Jadamba, & Akhtar A. Khan. (2008). Equation error approach for elliptic inverse problems with an application to the identification of Lamé parameters. Inverse Problems in Science and Engineering. 16(3). 349–367. 18 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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