Juha Videman

48 papers receiving 355 citations

Peers

Juha Videman
Comparison fields: 5 of 38
  • Mathematical Physics 94
  • Computational Theory and Mathematics 145
  • Applied Mathematics 95
  • Fluid Flow and Transfer Processes 55
  • Computational Mechanics 132
Replace В. В. Пухначев with:
В. В. Пухначев Russia
George H. Knightly United States
Marguerite Gisclon France
Konstantin Pileckas Lithuania
David Gérard‐Varet France
Alfredo Marzocchi Italy
Šárka Nečasová Czechia
I. Suliciu Romania
V. N. Starovoîtov Russia
Jean‐Pierre Croisille France
Juha Videman relative to В. В. Пухначев Russia В. В. Пухначев's profile →
Citations per field
00.5×5.2×
В. В. Пухначев · 1×
Citations per year

Countries citing papers authored by Juha Videman

Since Specialization
Citations

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

Fields of papers citing papers by Juha Videman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Juha Videman, 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 Juha Videman Line = papers co-authored together Juha Videman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199987
2 201534
3 200923
4 201017
5 201117
6 200013
7 199912
8 199511
9 20129
10 20078
11 20148
12 20188
13 20137
14 20157
15 19997
16 20187
17 20226
18 20206
19 20136
20 20016

About Juha Videman

Juha Videman is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Mathematical Physics, Applied Mathematics and Control and Systems Engineering, having authored 49 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (19 papers), Navier-Stokes equation solutions (12 papers), Advanced Numerical Methods in Computational Mathematics (12 papers), Stability and Controllability of Differential Equations (8 papers), Spectral Theory in Mathematical Physics (8 papers), Rheology and Fluid Dynamics Studies (8 papers), Tribology and Lubrication Engineering (6 papers) and Advanced Mathematical Physics Problems (6 papers). The work is most often cited by research in Mathematical Physics (94 citations), Computational Theory and Mathematics (145 citations), Applied Mathematics (95 citations), Fluid Flow and Transfer Processes (55 citations) and Computational Mechanics (132 citations). Juha Videman has collaborated with scholars based in Portugal, Russia and Finland. Frequent co-authors include Adélia Sequeira, С. А. Назаров, H. Beirão da Veiga, Rolf Stenberg, Tom Gustafsson, Κ. R. Rajagopal, Antonín Novotný, Clint Dawson, Konstantin Pileckas and Vincenzo Coscia. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Computer Methods in Applied Mechanics and Engineering, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, International Journal of Non-Linear Mechanics and ESAIM. Mathematical modelling and 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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