Daniel Loghin

1000 citations
26 papers · 673 · h-index 14

Impact in

Papers in

Daniel Loghin

26 papers receiving 600 citations

Peers

Daniel Loghin
Comparison fields: 5 of 56
  • Numerical Analysis 145
  • Computational Mechanics 410
  • Computational Theory and Mathematics 284
  • Condensed Matter Physics 79
  • Catalysis 33
Replace G. Kunert with:
G. Kunert Germany
Thomas Blesgen Germany
Yana Di China
James H. Adler United States
Cheng Wang Cheng Wang China
Ľubomír Baňas Germany
Zhen Guan China
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Takemitsu Hasegawa Japan
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Citations per field
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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 19 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002172
2 200469
3 201361
4 200960
5 200947
6 200441
7 201232
8 200931
9 200328
10 201323
11 200219
12 200514
13
Analysis of preconditioned Picard iterations for the Navier-Stokes equations
200113
14
A Green's function preconditioner for the steady−state Navier−Stokes equations
199913
15 200312
16 20128
17
Preconditioning the Advection-Diffusion Equation: the Green's Function Approach
19978
18 20057
19 20203
20
20202

About Daniel Loghin

Daniel Loghin is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 26 papers that have together received 673 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (17 papers), Matrix Theory and Algorithms (14 papers), Electromagnetic Scattering and Analysis (8 papers), Numerical methods in engineering (7 papers), Advancements in Solid Oxide Fuel Cells (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Catalysis and Oxidation Reactions (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). The work is most often cited by research in Numerical Analysis (145 citations), Computational Mechanics (410 citations), Computational Theory and Mathematics (284 citations), Condensed Matter Physics (79 citations) and Catalysis (33 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, Naveed Akhtar, S. P. Decent, David J. Smith, Thomas D. Montenegro‐Johnson, Mario Arioli, Kevin Kendall and M. Arioli. Their work appears in journals such as SIAM Journal on Scientific Computing, SIAM Journal on Numerical Analysis, Journal of Computational and Applied Mathematics, Numerische Mathematik and Numerical Linear Algebra with Applications.

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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