Mikhail Zymbler
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- Sachin KumarPrayag TiwariPradeep Kumar MallickNeelamadhab PadhyLeonid B. SokolinskyGleb RadchenkoSergey IvanovDebahuti Mishra
- Topics
- Time Series Analysis and Forecasting (11 papers)Data Management and Algorithms (6 papers)Data Mining Algorithms and Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal Of Big DataMathematics
In The Last Decade
Mikhail Zymbler
31 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computer Networks and Communications 305
- Artificial Intelligence 281
- Information Systems 195
- Computer Vision and Pattern Recognition 188
- Electrical and Electronic Engineering 176
Countries citing papers authored by Mikhail Zymbler
This map shows the geographic impact of Mikhail Zymbler'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 Mikhail Zymbler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Zymbler more than expected).
Fields of papers citing papers by Mikhail Zymbler
This network shows the impact of papers produced by Mikhail Zymbler. 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 Mikhail Zymbler. The network helps show where Mikhail Zymbler may publish in the future.
Co-authorship network of co-authors of Mikhail Zymbler
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Zymbler. A scholar is included among the top collaborators of Mikhail Zymbler 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 Mikhail Zymbler. Mikhail Zymbler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 22 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 78 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | Internet of Things is a revolutionary approach for future technology enhancement: a reviewbreakdown → | 679 |
| 13 | An Efficient Subsequence Similarity Search on Modern Intel Many-core Processors for Data Intensive Applications. | 1 |
| 14 | 1 | |
| 15 | 13 | |
| 16 | An Approach to Data Mining inside PostgreSQL Based on Parallel Implementation of UDFs. | 1 |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 4 | |
| 20 | Implementation Principles of File Management System for Omega Parallel DBMS | 1 |
About Mikhail Zymbler
Mikhail Zymbler is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (11 papers), Data Management and Algorithms (6 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Neurology (131 citations), Computer Networks and Communications (305 citations) and Computer Vision and Pattern Recognition (188 citations). Mikhail Zymbler has collaborated with scholars based in Russia, India and Italy. Frequent co-authors include Sachin Kumar, Prayag Tiwari, Pradeep Kumar Mallick, Neelamadhab Padhy, Leonid B. Sokolinsky, Gleb Radchenko, Sergey Ivanov, Debahuti Mishra, Kaberi Das and Ganapati Panda. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal Of Big Data and Mathematics.
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.