Lev V. Idels
Impact in
- Applied Mathematics top 2%
- Nonlinear Differential Equations Analysis
- Differential Equations and Boundary Problems
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
-
- Nonlinear Differential Equations Analysis 15
-
- Mathematical and Theoretical Epidemiology and Ecology Models 19
- Co-authors
- Elena Braverman (10 shared papers)Leonid Berezansky (16 shared papers)Leonid Berezansky (4 shared papers)Pablo Amster (5 shared papers)Mei Wang (1 shared paper)Arcady Vladimirovich Ponosov (3 shared papers)
In The Last Decade
Lev V. Idels
27 papers receiving 625 citations
Peers
Comparison fields: 5 of 45
- Applied Mathematics 350
- Public Health, Environmental and Occupational Health 339
- Modeling and Simulation 24
- Numerical Analysis 16
- Control and Systems Engineering 59
Countries citing papers authored by Lev V. Idels
This map shows the geographic impact of Lev V. Idels'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 Lev V. Idels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lev V. Idels more than expected).
Fields of papers citing papers by Lev V. Idels
This network shows the impact of papers produced by Lev V. Idels. 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 Lev V. Idels. The network helps show where Lev V. Idels may publish in the future.
Co-authors
The 6 scholars most cited alongside Lev V. Idels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 226 | |
| 2 | Nonlinear Analysis: Real World Applications | 2010 | 105 |
| 3 | 2010 | 60 | |
| 4 | 2013 | 43 | |
| 5 | 2014 | 36 | |
| 6 | 2012 | 26 | |
| 7 | 2008 | 23 | |
| 8 | 2008 | 18 | |
| 9 | 2004 | 17 | |
| 10 | 2012 | 17 | |
| 11 | 2004 | 16 | |
| 12 | 2013 | 16 | |
| 13 | 2005 | 11 | |
| 14 | 2011 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2007 | 6 | |
| 17 | 2007 | 6 | |
| 18 | 2010 | 5 | |
| 19 | 2011 | 4 | |
| 20 | 2014 | 4 |
About Lev V. Idels
Lev V. Idels is a scholar working on Applied Mathematics, Public Health, Environmental and Occupational Health, Modeling and Simulation, Control and Systems Engineering and Computer Networks and Communications, having authored 30 papers that have together received 669 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (19 papers), Nonlinear Differential Equations Analysis (15 papers), Mathematical Biology Tumor Growth (3 papers), Stability and Control of Uncertain Systems (3 papers), Neural Networks Stability and Synchronization (2 papers) and Advanced Differential Equations and Dynamical Systems (1 paper). The work is most often cited by research in Applied Mathematics (350 citations), Public Health, Environmental and Occupational Health (339 citations), Modeling and Simulation (24 citations), Numerical Analysis (16 citations) and Control and Systems Engineering (59 citations). Lev V. Idels has collaborated with scholars based in Canada, Israel and Argentina. Frequent co-authors include Elena Braverman, Leonid Berezansky, Leonid Berezansky, Pablo Amster, Mei Wang and Arcady Vladimirovich Ponosov. Their work appears in journals such as Applied Mathematics and Computation, Mathematical and Computer Modelling, Applied Mathematics Letters, Nonlinear Analysis Real World Applications and Communications in Nonlinear Science and Numerical Simulation.
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.