E. M. Landis
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Control and Systems Engineering
- Numerical Analysis top 10%
- Co-authors
- В А КондратьевO A OleĭnikYu. IlyashenkoA. S. KalashnikovM. I. VishikAkif IbragimovS. N. KruzhkovVladimir I. Arnold
- Topics
- Differential Equations and Boundary Problems (11 papers)Advanced Mathematical Modeling in Engineering (10 papers)Differential Equations and Numerical Methods (8 papers)
- Journals
- Experimental Biology and MedicineAmerican Journal of Physiology-Legacy ContentRussian Mathematical Surveys
- Partner nations
- United StatesRussiaTajikistan
In The Last Decade
E. M. Landis
19 papers receiving 312 citations
Peers
Comparison fields: 5 of 58
- Applied Mathematics 239
- Computational Theory and Mathematics 217
- Mathematical Physics 138
- Control and Systems Engineering 48
- Numerical Analysis 45
Countries citing papers authored by E. M. Landis
This map shows the geographic impact of E. M. Landis'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 E. M. Landis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. M. Landis more than expected).
Fields of papers citing papers by E. M. Landis
This network shows the impact of papers produced by E. M. Landis. 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 E. M. Landis. The network helps show where E. M. Landis may publish in the future.
Co-authorship network of co-authors of E. M. Landis
This figure shows the co-authorship network connecting the top 25 collaborators of E. M. Landis. A scholar is included among the top collaborators of E. M. Landis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. M. Landis. E. M. Landis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 126 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 43 | |
| 7 | 24 | |
| 8 | 34 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 39 | |
| 14 | 18 | |
| 15 | 11 | |
| 16 | 32 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 15 |
About E. M. Landis
E. M. Landis is a scholar working on Numerical Analysis, Applied Mathematics and Mathematical Physics, having authored 20 papers that have together received 377 indexed citations. Recurring topics across this work include Differential Equations and Boundary Problems (11 papers), Advanced Mathematical Modeling in Engineering (10 papers) and Differential Equations and Numerical Methods (8 papers). The work is most often cited by research in Applied Mathematics (239 citations), Mathematical Physics (138 citations) and Computational Theory and Mathematics (217 citations). E. M. Landis has collaborated with scholars based in United States, Russia and Tajikistan. Frequent co-authors include В А Кондратьев, O A Oleĭnik, Yu. Ilyashenko, A. S. Kalashnikov, M. I. Vishik, Akif Ibragimov, S. N. Kruzhkov, Vladimir I. Arnold, Alexander Filippov and Mikhail Shubin. Their work appears in journals such as Experimental Biology and Medicine, American Journal of Physiology-Legacy Content and Russian Mathematical Surveys.
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.