Vladimir Boginski
- Statistical and Nonlinear Physics top 2%
- Economics and Econometrics top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Co-authors
- Sergiy ButenkoAlexander VeremyevPãnos M. PardalosEduardo L. PasiliaoEduardo PasiliaoArvind SinghShiblu SarkerFoad Mahdavi Pajouh
- Topics
- Complex Network Analysis Techniques (25 papers)Facility Location and Emergency Management (10 papers)Opinion Dynamics and Social Influence (8 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational Theory and MathematicsEconomics and Econometrics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAnalytical Chemistry
- Partner nations
- United StatesFinlandSwitzerland
In The Last Decade
Vladimir Boginski
48 papers receiving 888 citations
Peers
Comparison fields: 5 of 104
- Statistical and Nonlinear Physics 363
- Economics and Econometrics 227
- Computational Theory and Mathematics 188
- Computer Networks and Communications 160
- Artificial Intelligence 127
Countries citing papers authored by Vladimir Boginski
This map shows the geographic impact of Vladimir Boginski'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 Vladimir Boginski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Boginski more than expected).
Fields of papers citing papers by Vladimir Boginski
This network shows the impact of papers produced by Vladimir Boginski. 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 Vladimir Boginski. The network helps show where Vladimir Boginski may publish in the future.
Co-authorship network of co-authors of Vladimir Boginski
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Boginski. A scholar is included among the top collaborators of Vladimir Boginski 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 Vladimir Boginski. Vladimir Boginski 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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 80 | |
| 6 | 4 | |
| 7 | 24 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | 26 | |
| 12 | 72 | |
| 13 | 77 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 23 | |
| 17 | 8 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | 250 |
About Vladimir Boginski
Vladimir Boginski is a scholar working on Statistical and Nonlinear Physics, Organizational Behavior and Human Resource Management and Computational Theory and Mathematics, having authored 49 papers that have together received 922 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (25 papers), Facility Location and Emergency Management (10 papers) and Opinion Dynamics and Social Influence (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (363 citations), Computational Theory and Mathematics (188 citations) and Economics and Econometrics (227 citations). Vladimir Boginski has collaborated with scholars based in United States, Finland and Switzerland. Frequent co-authors include Sergiy Butenko, Alexander Veremyev, Pãnos M. Pardalos, Eduardo L. Pasiliao, Eduardo Pasiliao, Arvind Singh, Shiblu Sarker, Foad Mahdavi Pajouh, Oleg A. Prokopyev and Alexey V. Sorokin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.
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.