V. Gavrilets

867 citations
11 papers · 481 indexed · h-index 9

V. Gavrilets

11 papers receiving 444 citations

Peers

V. Gavrilets
Comparison fields: 5 of 36
  • Control and Systems Engineering 323
  • Aerospace Engineering 314
  • Computer Vision and Pattern Recognition 163
  • Automotive Engineering 21
  • Computer Networks and Communications 39
Replace Miaobo Dong with:
Miaobo Dong Singapore
Suresh K. Kannan United States
Ewoud J. J. Smeur Netherlands
Kelsey Saulnier United States
Hugo Romero Mexico
Cameron Fulford Canada
Vinícius Mariano Gonçalves Brazil
Ertuğrul Çetinsoy Türkiye
Jindou Jia China
Kaan Taha Öner Türkiye
V. Gavrilets relative to Miaobo Dong Singapore Miaobo Dong's profile →
Citations per field
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Miaobo Dong · 1×
Citations per year

Countries citing papers authored by V. Gavrilets

Since Specialization
Citations

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

Fields of papers citing papers by V. Gavrilets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside V. Gavrilets, 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 V. Gavrilets Line = papers co-authored together V. Gavrilets links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20142
2 200444
3 200320
4 200264
5 200266
6 200238
7
Design and applications of an avionics system for a miniature acrobatic helicopter
20011
8 200179
9 200169
10 200114
11
Non-linear model for a small-size acrobatic helicopter
200184

About V. Gavrilets

V. Gavrilets is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 481 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (8 papers), Aerospace and Aviation Technology (7 papers), Guidance and Control Systems (4 papers), Aerospace Engineering and Energy Systems (3 papers), Inertial Sensor and Navigation (3 papers), Robotic Path Planning Algorithms (2 papers), Geophysics and Gravity Measurements (1 paper) and Biomimetic flight and propulsion mechanisms (1 paper). The work is most often cited by research in Control and Systems Engineering (323 citations), Aerospace Engineering (314 citations) and Computer Vision and Pattern Recognition (163 citations). V. Gavrilets has collaborated with scholars based in United States. Frequent co-authors include Éric Féron, Bernard Mettler, Mohammed Dahleh, Emilio Frazzoli and Gary A. McGraw. Their work appears in journals such as Journal of Guidance Control and Dynamics, The International Journal of Robotics Research, IEEE Aerospace and Electronic Systems Magazine and AIAA Guidance, Navigation, and Control Conference and Exhibit.

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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