Nora Ayanian
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 2%
- Aerospace Engineering top 2%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Co-authors
- Wolfgang HönigGaurav S. SukhatmeJames A. PreissT. K. Satish KumarSven KoenigVijay KumarHang MaAndrew Tinka
- Topics
- Robotic Path Planning Algorithms (29 papers)Distributed Control Multi-Agent Systems (16 papers)Modular Robots and Swarm Intelligence (15 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsAerospace Engineering
- Journals
- The International Journal of Robotics ResearchIEEE Transactions on RoboticsApplied Sciences
- Partner nations
- United StatesItalyGermany
In The Last Decade
Nora Ayanian
48 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 909
- Computer Networks and Communications 599
- Aerospace Engineering 443
- Control and Systems Engineering 283
- Artificial Intelligence 282
Countries citing papers authored by Nora Ayanian
This map shows the geographic impact of Nora Ayanian'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 Nora Ayanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nora Ayanian more than expected).
Fields of papers citing papers by Nora Ayanian
This network shows the impact of papers produced by Nora Ayanian. 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 Nora Ayanian. The network helps show where Nora Ayanian may publish in the future.
Co-authorship network of co-authors of Nora Ayanian
This figure shows the co-authorship network connecting the top 25 collaborators of Nora Ayanian. A scholar is included among the top collaborators of Nora Ayanian 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 Nora Ayanian. Nora Ayanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 77 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 56 | |
| 11 | 193 | |
| 12 | 60 | |
| 13 | 23 | |
| 14 | 25 | |
| 15 | Crazyswarm: A large nano-quadcopter swarmbreakdown → | 254 |
| 16 | Improved solvers for bounded-suboptimal multi-agent path finding | 32 |
| 17 | 109 | |
| 18 | 13 | |
| 19 | 10 | |
| 20 | 4 |
About Nora Ayanian
Nora Ayanian is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Industrial and Manufacturing Engineering, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (29 papers), Distributed Control Multi-Agent Systems (16 papers) and Modular Robots and Swarm Intelligence (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (909 citations), Computer Networks and Communications (599 citations) and Aerospace Engineering (443 citations). Nora Ayanian has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Wolfgang Hönig, Gaurav S. Sukhatme, James A. Preiss, T. K. Satish Kumar, Sven Koenig, Vijay Kumar, Hang Ma, Andrew Tinka, Scott Kiesel and Joseph W. Durham. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Applied Sciences.
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.