Daniel Loghin

1.0k citations
28 papers · 727 · h-index 14

Impact in

Papers in

Daniel Loghin

28 papers receiving 648 citations

Peers

Daniel Loghin
Comparison fields: 5 of 56
  • Numerical Analysis 162
  • Computational Mechanics 454
  • Computational Theory and Mathematics 309
  • Condensed Matter Physics 84
  • Catalysis 35
Replace G. Kunert with:
G. Kunert Germany
Thomas Blesgen Germany
Ľubomír Baňas Germany
James H. Adler United States
Rüdiger Müller Germany
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Citations per year

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-authors

The 21 scholars most cited alongside Daniel Loghin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Loghin Line = papers co-authored together Daniel Loghin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002186
2 200474
3 201366
4 200961
5 200949
6 200445
7 201233
8 200332
9 200932
10 201324
11 200220
12 200515
13 200314
14
A Green's function preconditioner for the steady−state Navier−Stokes equations
199914
15
Analysis of preconditioned Picard iterations for the Navier-Stokes equations
200113
16 20129
17 20058
18
Preconditioning the Advection-Diffusion Equation: the Green's Function Approach
19978
19 20036
20 20084

About Daniel Loghin

Daniel Loghin is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Numerical Analysis, having authored 28 papers that have together received 727 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (19 papers), Matrix Theory and Algorithms (14 papers), Electromagnetic Scattering and Analysis (8 papers), Numerical methods in engineering (7 papers), Advanced Mathematical Modeling in Engineering (4 papers), Advancements in Solid Oxide Fuel Cells (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Catalysis and Oxidation Reactions (3 papers). The work is most often cited by research in Numerical Analysis (162 citations), Computational Mechanics (454 citations), Computational Theory and Mathematics (309 citations), Condensed Matter Physics (84 citations) and Catalysis (35 citations). Daniel Loghin has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Andy Wathen, David Kay, Andrew J. Wathen, David J. Smith, Thomas D. Montenegro‐Johnson, Naveed Akhtar, S. P. Decent, Mario Arioli, M. Arioli and Kevin Kendall. Their work appears in journals such as SIAM Journal on Scientific Computing, SIAM Journal on Numerical Analysis, Journal of Computational and Applied Mathematics, SIAM Journal on Matrix Analysis and Applications and IMA Journal of Numerical Analysis.

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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