Daniel Loghin

1000 total citations
26 papers, 673 citations indexed

About

Daniel Loghin is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Mechanics of Materials. According to data from OpenAlex, Daniel Loghin has authored 26 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 17 papers in Computational Mechanics and 8 papers in Mechanics of Materials. Recurrent topics in Daniel Loghin's work include Advanced Numerical Methods in Computational Mathematics (17 papers), Matrix Theory and Algorithms (14 papers) and Electromagnetic Scattering and Analysis (8 papers). Daniel Loghin is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (17 papers), Matrix Theory and Algorithms (14 papers) and Electromagnetic Scattering and Analysis (8 papers). Daniel Loghin collaborates with scholars based in United Kingdom, France and United States. Daniel Loghin's co-authors include Andy Wathen, David Kay, Andrew J. Wathen, S. P. Decent, Naveed Akhtar, David J. Smith, Thomas D. Montenegro‐Johnson, Mario Arioli, Kevin Kendall and M. Arioli and has published in prestigious journals such as Journal of Power Sources, International Journal of Hydrogen Energy and Physics of Fluids.

In The Last Decade

Daniel Loghin

26 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Loghin United Kingdom 14 410 284 145 130 118 26 673
G. Kunert Germany 14 365 0.9× 195 0.7× 130 0.9× 119 0.9× 23 0.2× 30 558
Cheng Wang Cheng Wang China 11 163 0.4× 76 0.3× 70 0.5× 190 1.5× 23 0.2× 24 343
Ľubomír Baňas Germany 12 148 0.4× 138 0.5× 52 0.4× 113 0.9× 12 0.1× 35 327
James H. Adler United States 10 234 0.6× 92 0.3× 61 0.4× 30 0.2× 40 0.3× 38 339
Zhenlin Guo China 11 232 0.6× 39 0.1× 31 0.2× 230 1.8× 49 0.4× 27 399
Alex Fedoseyev United States 8 130 0.3× 19 0.1× 30 0.2× 71 0.5× 31 0.3× 35 428
Yana Di China 13 245 0.6× 30 0.1× 86 0.6× 63 0.5× 43 0.4× 27 396
Zhen Guan China 8 164 0.4× 109 0.4× 137 0.9× 260 2.0× 15 0.1× 22 378
Adriana Garroni Italy 16 84 0.2× 447 1.6× 23 0.2× 270 2.1× 124 1.1× 45 853
Thomas Blesgen Germany 9 55 0.1× 91 0.3× 14 0.1× 221 1.7× 37 0.3× 27 387

Countries citing papers authored by Daniel Loghin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Loghin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Loghin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Loghin. A scholar is included among the top collaborators of Daniel Loghin 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 Daniel Loghin. Daniel Loghin 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.
Loghin, Daniel, et al.. (2020). Diffusion in arrays of obstacles: beyond homogenization. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 476(2244). 3 indexed citations
2.
Bespalov, Alex, et al.. (2020). . arXiv (Cornell University). 2 indexed citations
3.
Arioli, Mario & Daniel Loghin. (2015). Spectral analysis of the anisotropic Steklov–Poincaré matrix. Linear Algebra and its Applications. 488. 168–183. 2 indexed citations
4.
Arioli, Mario, Emmanuil H. Georgoulis, & Daniel Loghin. (2013). Stopping Criteria for Adaptive Finite Element Solvers. SIAM Journal on Scientific Computing. 35(3). A1537–A1559. 23 indexed citations
5.
Montenegro‐Johnson, Thomas D., David J. Smith, & Daniel Loghin. (2013). Physics of rheologically enhanced propulsion: Different strokes in generalized Stokes. Physics of Fluids. 25(8). 61 indexed citations
6.
Montenegro‐Johnson, Thomas D., Andrew A. Smith, David J. Smith, Daniel Loghin, & John Blake. (2012). Modelling the fluid mechanics of cilia and flagella in reproduction and development. The European Physical Journal E. 35(10). 111–111. 32 indexed citations
7.
Arioli, M., Drosos Kourounis, & Daniel Loghin. (2012). Discrete fractional Sobolev norms for domain decomposition preconditioning. IMA Journal of Numerical Analysis. 33(1). 318–342. 8 indexed citations
8.
Akhtar, Naveed, S. P. Decent, Daniel Loghin, & Kevin Kendall. (2009). A three-dimensional numerical model of a single-chamber solid oxide fuel cell. International Journal of Hydrogen Energy. 34(20). 8645–8663. 60 indexed citations
9.
Arioli, Mario & Daniel Loghin. (2009). Discrete Interpolation Norms with Applications. SIAM Journal on Numerical Analysis. 47(4). 2924–2951. 31 indexed citations
10.
Georgoulis, Emmanuil H. & Daniel Loghin. (2008). Norm Preconditioners for Discontinuous Galerkin $hp$-Finite Element Methods. SIAM Journal on Scientific Computing. 30(5). 2447–2465. 2 indexed citations
11.
Akhtar, Naveed, S. P. Decent, Daniel Loghin, & Kevin Kendall. (2008). Modelling of Co-Planar Type Single-Chamber Solid Oxide Fuel Cells (SC-SOFCs). Discovery Research Portal (University of Dundee). 241–255. 2 indexed citations
12.
Loghin, Daniel, et al.. (2005). Bounds on the eigenvalue range and on the field of values of non-Hermitian and indefinite finite element matrices. Journal of Computational and Applied Mathematics. 189(1-2). 304–323. 7 indexed citations
13.
Loghin, Daniel, et al.. (2005). Adaptive preconditioners for nonlinear systems of equations. Journal of Computational and Applied Mathematics. 189(1-2). 362–374. 14 indexed citations
14.
Arioli, M., Daniel Loghin, & Andy Wathen. (2004). Stopping criteria for iterations in finite element methods. Numerische Mathematik. 99(3). 381–410. 41 indexed citations
15.
Elman, Howard C., Daniel Loghin, & Andy Wathen. (2003). Preconditioning Techniques for Newton's Method for the Incompressible Navier–Stokes Equations. BIT Numerical Mathematics. 43(5). 961–974. 28 indexed citations
16.
Loghin, Daniel & Andy Wathen. (2002). Schur complement preconditioners for the Navier–Stokes equations. International Journal for Numerical Methods in Fluids. 40(3-4). 403–412. 19 indexed citations
17.
Kay, David, Daniel Loghin, & Andrew J. Wathen. (2002). A Preconditioner for the Steady-State Navier--Stokes Equations. SIAM Journal on Scientific Computing. 24(1). 237–256. 172 indexed citations
18.
Loghin, Daniel. (2001). Analysis of preconditioned Picard iterations for the Navier-Stokes equations. Oxford University Research Archive (ORA) (University of Oxford). 13 indexed citations
19.
Kay, David & Daniel Loghin. (1999). A Green's function preconditioner for the steady−state Navier−Stokes equations. Oxford University Research Archive (ORA) (University of Oxford). 13 indexed citations
20.
Loghin, Daniel & Andy Wathen. (1997). Preconditioning the Advection-Diffusion Equation: the Green's Function Approach. Oxford University Research Archive (ORA) (University of Oxford). 8 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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