M. V. Yuldashev

881 citations
59 papers · 597 indexed · h-index 14

M. V. Yuldashev

56 papers receiving 583 citations

Peers

M. V. Yuldashev
Comparison fields: 5 of 42
  • Statistical and Nonlinear Physics 237
  • Computer Networks and Communications 199
  • Electrical and Electronic Engineering 353
  • Control and Systems Engineering 106
  • Energy Engineering and Power Technology 10
Replace R. V. Yuldashev with:
R. V. Yuldashev Russia
Shaohua Luo China
S. M. Seledzhi Russia
Paul Curran Ireland
B. C. Sarkar India
Moez Feki Tunisia
Vera B. Smirnova Russia
Ricardo Riaza Spain
Chengjie Xu China
D. Normand‐Cyrot France
M. V. Yuldashev relative to R. V. Yuldashev Russia R. V. Yuldashev's profile →
Citations per field
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R. V. Yuldashev · 1×
Citations per year

Countries citing papers authored by M. V. Yuldashev

Since Specialization
Citations

This map shows the geographic impact of M. V. Yuldashev'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. V. Yuldashev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. V. Yuldashev more than expected).

Fields of papers citing papers by M. V. Yuldashev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. V. Yuldashev. 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. V. Yuldashev. The network helps show where M. V. Yuldashev may publish in the future.

Co-authorship network

The 18 scholars most cited alongside M. V. Yuldashev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. V. Yuldashev Line = papers co-authored together M. V. Yuldashev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20235
3 20219
4 20210
5 20208
6 202012
7 20204
8 20194
9 20193
10 201721
11 20171
12 20163
13 20163
14
Limitations of PLL simulation: hidden oscillations in SPICE analysis.
20154
15 20154
16 20144
17 20131
18
Mathematical models and simulation of Costas loops
20131
19 20124
20 20102

About M. V. Yuldashev

M. V. Yuldashev is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 59 papers that have together received 597 indexed citations. Recurring topics across this work include Advancements in PLL and VCO Technologies (40 papers), Chaos control and synchronization (11 papers), Optical Network Technologies (10 papers), Analog and Mixed-Signal Circuit Design (10 papers), Semiconductor Lasers and Optical Devices (9 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Radio Frequency Integrated Circuit Design (5 papers) and Cybersecurity and Information Systems (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (237 citations), Computer Networks and Communications (199 citations) and Electrical and Electronic Engineering (353 citations). M. V. Yuldashev has collaborated with scholars based in Russia, Finland and Hungary. Frequent co-authors include R. V. Yuldashev, Н. В. Кузнецов, Г. А. Леонов, S. M. Seledzhi, О. А. Кузнецова, G. Bianchi, Roland Best, Alexey S. Matveev, Olga Kuznetsova and Mohammad Saleh Tavazoei.

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.

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