R. Ivlev

629 citations
12 papers · 433 · h-index 7

Impact in

Papers in

R. Ivlev

12 papers receiving 375 citations

Peers

R. Ivlev
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 237
  • Control and Systems Engineering 155
  • Aerospace Engineering 105
  • Mechanical Engineering 141
  • Biomedical Engineering 153
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Curtis Collins United States
Ashley Stroupe United States
R. Petráš United States
Sisir Karumanchi United States
Henry W. Stone United States
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Jaume Franch Spain
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R. Ivlev relative to E. Tunstel United States E. Tunstel's profile →
Citations per field
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Citations per year

Countries citing papers authored by R. Ivlev

Since Specialization
Citations

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

Fields of papers citing papers by R. Ivlev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside R. Ivlev, 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 R. Ivlev Line = papers co-authored together R. Ivlev links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1994119
2 200283
3 199679
4 200266
5
Reactive navigation through rough terrain: experimental results
199234
6 200228
7 200214
8 20023
9 19992
10 19922
11
Experiments with a small behaviour controlled planetary rover
19932
12
Experiments in Sensor-Based Collision Avoidance
19951

About R. Ivlev

R. Ivlev is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Astronomy and Astrophysics, Aerospace Engineering and Computer Networks and Communications, having authored 12 papers that have together received 433 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Modular Robots and Swarm Intelligence (7 papers), Planetary Science and Exploration (5 papers), Astro and Planetary Science (4 papers), Robotics and Sensor-Based Localization (2 papers), Aerospace Engineering and Energy Systems (1 paper), AI-based Problem Solving and Planning (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (237 citations), Control and Systems Engineering (155 citations), Aerospace Engineering (105 citations), Mechanical Engineering (141 citations) and Biomedical Engineering (153 citations). R. Ivlev has collaborated with scholars based in United States. Frequent co-authors include R. Volpe, J. Balaram, David Miller, Erann Gat, T. Ohm, Richard V. Welch, R. Petráš, Gregory K. Tharp, Paul Backes and Sharon Laubach. Their work appears in journals such as IEEE Transactions on Robotics and Automation, Advanced Robotics, Eos, NASA Technical Reports Server (NASA) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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