David Cheban

909 citations
64 papers · 580 · h-index 12

Impact in

Papers in

David Cheban

54 papers receiving 512 citations

Peers

David Cheban
Comparison fields: 5 of 37
  • Applied Mathematics 315
  • Control and Systems Engineering 384
  • Numerical Analysis 85
  • Geometry and Topology 110
  • Mathematical Physics 112
Replace Adina Luminiţa Sasu with:
Adina Luminiţa Sasu Romania
Bogdan Sasu Romania
Joël Blot France
Chenxiaoyu Zhang China
Davor Dragičević Croatia
Pham Huu Anh Ngoc Vietnam
Jaqueline G. Mesquita Brazil
Philippe Cieutat France
Hui-Sheng Ding China
Abdelaziz Rhandi Italy
David Cheban relative to Adina Luminiţa Sasu Romania Adina Luminiţa Sasu's profile →
Citations per field
00.5×1.5×1.8×
Adina Luminiţa Sasu · 1×
Citations per year

Countries citing papers authored by David Cheban

Since Specialization
Citations

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

Fields of papers citing papers by David Cheban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside David Cheban, 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 David Cheban Line = papers co-authored together David Cheban links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200463
2 200856
3 200953
4 200450
5 200841
6 200338
7 202031
8 200129
9 200818
10 200514
11 201112
12 201411
13 200111
14 20129
15
Global Attractors of Set-Valued Dynamical and Control Systems
20139
16 20198
17 20077
18 20057
19 20167
20 20047

About David Cheban

David Cheban is a scholar working on Control and Systems Engineering, Applied Mathematics, Computational Theory and Mathematics, Computer Networks and Communications and Geometry and Topology, having authored 64 papers that have together received 580 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (39 papers), Nonlinear Differential Equations Analysis (27 papers), Advanced Mathematical Modeling in Engineering (16 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Advanced Differential Equations and Dynamical Systems (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Quantum chaos and dynamical systems (7 papers) and advanced mathematical theories (5 papers). The work is most often cited by research in Applied Mathematics (315 citations), Control and Systems Engineering (384 citations), Numerical Analysis (85 citations), Geometry and Topology (110 citations) and Mathematical Physics (112 citations). David Cheban has collaborated with scholars based in Moldova, Spain and Italy. Frequent co-authors include Tomás Caraballo, Cristiana Mammana, Zhenxin Liu, Björn Schmalfuß, Peter E. Kloeden, Jinqiao Duan and Elisabetta Michetti. Their work appears in journals such as The Journal of Difference Equations and Applications, Journal of Differential Equations, Nonlinear Analysis, Discrete and Continuous Dynamical Systems and Dynamical Systems.

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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