Larisa Rybak

451 citations
61 papers · 168 · h-index 7

Impact in

Papers in

    • Robotic Mechanisms and Dynamics 27
    • Robot Manipulation and Learning 7
    • Advanced Theoretical and Applied Studies in Material Sciences and Geometry 10
    • Mechanics and Biomechanics Studies 9
    • Soft Robotics and Applications 6

Larisa Rybak

39 papers receiving 162 citations

Peers

Larisa Rybak
Comparison fields: 5 of 54
  • Control and Systems Engineering 100
  • Industrial and Manufacturing Engineering 35
  • Computational Mathematics 1
  • Numerical Analysis 8
  • Computer Networks and Communications 33
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Citations per field
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Citations per year

Countries citing papers authored by Larisa Rybak

Since Specialization
Citations

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

Fields of papers citing papers by Larisa Rybak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larisa Rybak. 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 Larisa Rybak. The network helps show where Larisa Rybak may publish in the future.

Co-authors

The 13 scholars most cited alongside Larisa Rybak, 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 Larisa Rybak Line = papers co-authored together Larisa Rybak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202023
2 201718
3 202116
4 202214
5 20217
6 20227
7
Computer-Aided Modeling of Dynamics of Manipulator-Tripod with Six Degree of Freedom
20136
8 20225
9 20225
10 20185
11 20195
12 20204
13 20184
14 20163
15 20233
16 20193
17 20183
18 20173
19 20173
20
Numerical method for approximating the solution set of a system of non-linear inequalities
20162

About Larisa Rybak

Larisa Rybak is a scholar working on Control and Systems Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering and Renewable Energy, Sustainability and the Environment, having authored 61 papers that have together received 168 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (27 papers), Engineering Technology and Methodologies (14 papers), Advanced Theoretical and Applied Studies in Material Sciences and Geometry (10 papers), Mechanics and Biomechanics Studies (9 papers), Manufacturing Process and Optimization (7 papers), Mechanical Systems and Engineering (7 papers), Robot Manipulation and Learning (7 papers) and Soft Robotics and Applications (6 papers). The work is most often cited by research in Control and Systems Engineering (100 citations), Industrial and Manufacturing Engineering (35 citations), Computational Mathematics (1 citation), Numerical Analysis (8 citations) and Computer Networks and Communications (33 citations). Larisa Rybak has collaborated with scholars based in Russia, India and Italy. Frequent co-authors include Laxmidhar Behera, Narendra Kumar Dhar, Mikhail Posypkin, Yu. G. Evtushenko, Giuseppe Carbone, Т. А. Семененко, Santhakumar Mohan, Philippe Wenger, Bruno Bernardi and Francesco Longo. Their work appears in journals such as Robotica, Applied Sciences, Journal of Global Optimization, IEEE Transactions on Control of Network Systems and IEEE Systems Journal.

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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