J. Nečas

2.8k citations
27 papers · 1.3k · h-index 12

Impact in

Papers in

J. Nečas

22 papers receiving 1.2k citations

Peers

J. Nečas
Comparison fields: 5 of 46
  • Applied Mathematics 581
  • Computational Theory and Mathematics 673
  • Mathematical Physics 261
  • Fluid Flow and Transfer Processes 135
  • Computational Mechanics 407
Replace Tsuan Wu Ting with:
Tsuan Wu Ting United States
Chunhua Wang China
Ana L. Silvestre Portugal
Milan Miklavčič United States
Philippe Destuynder France
J. Baranger France
Alexei Lozinski France
Jean‐Marie Thomas France
Hyung‐Chun Lee South Korea
Lætitia Paoli France
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Citations per field
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Citations per year

Countries citing papers authored by J. Nečas

Since Specialization
Citations

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

Fields of papers citing papers by J. Nečas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside J. Nečas, 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 J. Nečas Line = papers co-authored together J. Nečas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988401
2 1996322
3 1996156
4 200190
5 201956
6 199154
7 200245
8 200343
9 199130
10 200214
11 199113
12 198212
13 19905
14 19925
15
Upper bound for the number of eigenvalues for nonlinear operators
19734
16 20234
17
On self-similar solutions of the Navier-Stokes equations
19954
18 19793
19 19793
20 19742

About J. Nečas

J. Nečas is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Computational Mechanics, Control and Systems Engineering and Numerical Analysis, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (9 papers), Navier-Stokes equation solutions (8 papers), Differential Equations and Boundary Problems (5 papers), Stability and Controllability of Differential Equations (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Differential Equations and Numerical Methods (4 papers), Rheology and Fluid Dynamics Studies (4 papers) and Contact Mechanics and Variational Inequalities (3 papers). The work is most often cited by research in Applied Mathematics (581 citations), Computational Theory and Mathematics (673 citations), Mathematical Physics (261 citations), Fluid Flow and Transfer Processes (135 citations) and Computational Mechanics (407 citations). J. Nečas has collaborated with scholars based in Czechia, United States and Slovakia. Frequent co-authors include Michael Růžička, Josef Málek, Ivan Hlaváček, Jaroslav Haslinger, Ján Lovíšek, Vladimír Šverák, Miroslav Šilhavý, Κ. R. Rajagopal, Antonín Novotný and Mirko Rokyta. Their work appears in journals such as Mathematische Nachrichten, Journal of Mathematical Fluid Mechanics, Mathematics and Computers in Simulation, Archive for Rational Mechanics and Analysis and Advances in Differential Equations.

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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