Steve Macenski
Impact in
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- Robotic Path Planning Algorithms
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- Robotics and Automated Systems
- Robot Manipulation and Learning
Papers in
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- Robotic Path Planning Algorithms 4
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- Robotics and Sensor-Based Localization 5
- Guidance and Control Systems 1
- Co-authors
- Brian GerkeyTully FooteFrancisco MartínJonatan GinésRuffin WhiteDavid TsaiMax FeinbergDavid V. Lu
- Journals
- Robotics and Autonomous Systems (1 paper)IEEE Robotics and Automation Letters (1 paper)Autonomous Robots (1 paper)Science Robotics (1 paper)International Journal of Advanced Robotic Systems (1 paper)
- Partner nations
- United StatesSpainIndia
In The Last Decade
Steve Macenski
10 papers receiving 930 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 410
- Control and Systems Engineering 305
- Aerospace Engineering 316
- Industrial and Manufacturing Engineering 86
- Computer Networks and Communications 160
Countries citing papers authored by Steve Macenski
This map shows the geographic impact of Steve Macenski'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 Steve Macenski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Macenski more than expected).
Fields of papers citing papers by Steve Macenski
This network shows the impact of papers produced by Steve Macenski. 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 Steve Macenski. The network helps show where Steve Macenski may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Steve Macenski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 45 | |
| 2 | 2023 | 26 | |
| 3 | 2023 | 37 | |
| 4 | Robot Operating System 2: Design, architecture, and uses in the wild Hit paper breakdown → | 2022 | 571 |
| 5 | 2021 | 64 | |
| 6 | 2021 | 43 | |
| 7 | 2020 | 32 | |
| 8 | 2020 | 156 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 1 |
About Steve Macenski
Steve Macenski is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Control and Systems Engineering and Hardware and Architecture, having authored 10 papers that have together received 977 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (4 papers), Modular Robots and Swarm Intelligence (3 papers), Robotics and Automated Systems (3 papers), Distributed systems and fault tolerance (2 papers), Indoor and Outdoor Localization Technologies (1 paper), Multi-Agent Systems and Negotiation (1 paper) and Guidance and Control Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (410 citations), Control and Systems Engineering (305 citations), Aerospace Engineering (316 citations), Industrial and Manufacturing Engineering (86 citations) and Computer Networks and Communications (160 citations). Steve Macenski has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Brian Gerkey, Tully Foote, Francisco Martín, Jonatan Ginés, Ruffin White, David Tsai, Max Feinberg, David V. Lu, Michael A. J. Ferguson and Tom Moore. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Robotics and Automation Letters, Autonomous Robots, Science Robotics and International Journal of Advanced Robotic Systems.
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.