Ludmila Dymova
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 5%
- Statistics and Probability top 1%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Pavel SevastjanovAnna TikhonenkoP. SevastianovŁukasz SułkowskiHua LiJarosław BilskiLeszek RutkowskiMin Xiao
- Topics
- Multi-Criteria Decision Making (26 papers)Fuzzy Systems and Optimization (13 papers)Stock Market Forecasting Methods (8 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Ludmila Dymova
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Management Science and Operations Research 817
- Artificial Intelligence 303
- Statistics and Probability 282
- Control and Systems Engineering 255
- Computational Theory and Mathematics 173
Countries citing papers authored by Ludmila Dymova
This map shows the geographic impact of Ludmila Dymova'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 Ludmila Dymova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ludmila Dymova more than expected).
Fields of papers citing papers by Ludmila Dymova
This network shows the impact of papers produced by Ludmila Dymova. 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 Ludmila Dymova. The network helps show where Ludmila Dymova may publish in the future.
Co-authorship network of co-authors of Ludmila Dymova
This figure shows the co-authorship network connecting the top 25 collaborators of Ludmila Dymova. A scholar is included among the top collaborators of Ludmila Dymova 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 Ludmila Dymova. Ludmila Dymova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | 10 | |
| 10 | 69 | |
| 11 | 69 | |
| 12 | 24 | |
| 13 | 78 | |
| 14 | 23 | |
| 15 | 6 | |
| 16 | Operations on intuitionistic fuzzy values in multiple criteria decision making | 16 |
| 17 | A NEW APPROACH TO COMPARING INTUITIONISTIC FUZZY VALUES | 1 |
| 18 | 30 | |
| 19 | 31 | |
| 20 | A CONSTRUCTIVE APPROACH TO MANAGING FUZZY SUBSETS OF TYPE 2 IN DECISION MAKING | 2 |
About Ludmila Dymova
Ludmila Dymova is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (26 papers), Fuzzy Systems and Optimization (13 papers) and Stock Market Forecasting Methods (8 papers). The work is most often cited by research in Management Science and Operations Research (817 citations), Statistics and Probability (282 citations) and Control and Systems Engineering (255 citations). Ludmila Dymova has collaborated with scholars based in Poland, China and Yemen. Frequent co-authors include Pavel Sevastjanov, Anna Tikhonenko, P. Sevastianov, Łukasz Sułkowski, Hua Li, Jarosław Bilski, Leszek Rutkowski and Min Xiao. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.