M. B. Malyutov
- Molecular Biology
- Infectious Diseases
- Artificial Intelligence
- Computer Networks and Communications
- Computational Theory and Mathematics
- Co-authors
- Dmitry MalioutovYu. V. FedorovJaakko AstolaBoris RyabkoPlamen MateevRostislav S. ProtassovValerii V. FedorovGlenn L. Pierce
- Topics
- Optimal Experimental Design Methods (4 papers)Advanced Statistical Methods and Models (3 papers)Sparse and Compressive Sensing Techniques (2 papers)
- Journals
- Lecture notes in computer scienceRussian Mathematical SurveysJournal of Statistical Planning and Inference
- Partner nations
- United StatesRussiaCanada
In The Last Decade
M. B. Malyutov
17 papers receiving 203 citations
Peers
Comparison fields: 5 of 48
- Molecular Biology 94
- Infectious Diseases 91
- Artificial Intelligence 86
- Computer Networks and Communications 51
- Computational Theory and Mathematics 34
Countries citing papers authored by M. B. Malyutov
This map shows the geographic impact of M. B. Malyutov'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 M. B. Malyutov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. B. Malyutov more than expected).
Fields of papers citing papers by M. B. Malyutov
This network shows the impact of papers produced by M. B. Malyutov. 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 M. B. Malyutov. The network helps show where M. B. Malyutov may publish in the future.
Co-authorship network of co-authors of M. B. Malyutov
This figure shows the co-authorship network connecting the top 25 collaborators of M. B. Malyutov. A scholar is included among the top collaborators of M. B. Malyutov 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 M. B. Malyutov. M. B. Malyutov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 2 | |
| 5 | 40 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | ROBUST MODIFICATION OF THE EM-ALGORITHM FOR PARAMETRIC MultiTRAJECTORY ESTIMATION IN NOISE AND CLUTTER | 2 |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 47 | |
| 18 | 19 | |
| 19 | 4 |
About M. B. Malyutov
M. B. Malyutov is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics, having authored 19 papers that have together received 220 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (4 papers), Advanced Statistical Methods and Models (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Infectious Diseases (91 citations), Artificial Intelligence (86 citations) and Computer Networks and Communications (51 citations). M. B. Malyutov has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Dmitry Malioutov, Yu. V. Fedorov, Jaakko Astola, Boris Ryabko, Plamen Mateev, Rostislav S. Protassov, Valerii V. Fedorov, Glenn L. Pierce and Xin Li. Their work appears in journals such as Lecture notes in computer science, Russian Mathematical Surveys and Journal of Statistical Planning and Inference.
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.