Edward Schmerling
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Marco PavoneLucas JansonAshley ClarkChristopher AgiaJ. Christian GerdesIssa NesnasMo ChenJohn M. Talbot
- Topics
- Robotic Path Planning Algorithms (9 papers)Autonomous Vehicle Technology and Safety (6 papers)Real-time simulation and control systems (3 papers)
- Journals
- The International Journal of Robotics ResearchAutonomous RobotsIEEE Robotics and Automation Letters
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Edward Schmerling
23 papers receiving 650 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 453
- Aerospace Engineering 265
- Control and Systems Engineering 241
- Automotive Engineering 143
- Artificial Intelligence 138
Countries citing papers authored by Edward Schmerling
This map shows the geographic impact of Edward Schmerling'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 Edward Schmerling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Schmerling more than expected).
Fields of papers citing papers by Edward Schmerling
This network shows the impact of papers produced by Edward Schmerling. 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 Edward Schmerling. The network helps show where Edward Schmerling may publish in the future.
Co-authorship network of co-authors of Edward Schmerling
This figure shows the co-authorship network connecting the top 25 collaborators of Edward Schmerling. A scholar is included among the top collaborators of Edward Schmerling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward Schmerling. Edward Schmerling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 46 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 59 | |
| 16 | Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs. | 3 |
| 17 | 11 | |
| 18 | Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensionsbreakdown → | 325 |
| 19 | 40 | |
| 20 | 73 |
About Edward Schmerling
Edward Schmerling is a scholar working on Software, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 675 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Autonomous Vehicle Technology and Safety (6 papers) and Real-time simulation and control systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (453 citations), Automotive Engineering (143 citations) and Aerospace Engineering (265 citations). Edward Schmerling has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Marco Pavone, Lucas Janson, Ashley Clark, Christopher Agia, J. Christian Gerdes, Issa Nesnas, Mo Chen, John M. Talbot, Mengxuan Zhang and Mattia Cenedese. Their work appears in journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Robotics and Automation Letters.
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.