Andrew M. Ladd
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Ocean Engineering top 1%
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 2%
- Co-authors
- Lydia E. KavrakiDan S. WallachAlgis RudysKostas E. BekrisAndreas HaeberlenGuillaume MarceauErion PlakuJ. C. Phillips
- Topics
- Indoor and Outdoor Localization Technologies (8 papers)Energy Efficient Wireless Sensor Networks (8 papers)Robotic Path Planning Algorithms (6 papers)
- Journals
- The International Journal of Robotics ResearchIEEE Transactions on Robotics and AutomationIEEE Transactions on Robotics
- Partner nations
- United States
In The Last Decade
Andrew M. Ladd
17 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 1.3k
- Computer Networks and Communications 664
- Ocean Engineering 519
- Computer Vision and Pattern Recognition 485
- Aerospace Engineering 459
Countries citing papers authored by Andrew M. Ladd
This map shows the geographic impact of Andrew M. Ladd'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 Andrew M. Ladd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew M. Ladd more than expected).
Fields of papers citing papers by Andrew M. Ladd
This network shows the impact of papers produced by Andrew M. Ladd. 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 Andrew M. Ladd. The network helps show where Andrew M. Ladd may publish in the future.
Co-authorship network of co-authors of Andrew M. Ladd
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. Ladd. A scholar is included among the top collaborators of Andrew M. Ladd 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 Andrew M. Ladd. Andrew M. Ladd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 62 | |
| 2 | 127 | |
| 3 | 7 | |
| 4 | 119 | |
| 5 | Practical robust localization over large-scale 802.11 wireless networksbreakdown → | 508 |
| 6 | 180 | |
| 7 | 83 | |
| 8 | 37 | |
| 9 | 32 | |
| 10 | 67 | |
| 11 | 79 | |
| 12 | 59 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 312 | |
| 16 | Robotics-Based Location Sensing based on Wireless Ethernet | 1 |
| 17 | 154 |
About Andrew M. Ladd
Andrew M. Ladd is a scholar working on Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (8 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Ocean Engineering (519 citations), Signal Processing (338 citations) and Computer Networks and Communications (664 citations). Andrew M. Ladd has collaborated with scholars based in United States. Frequent co-authors include Lydia E. Kavraki, Dan S. Wallach, Algis Rudys, Kostas E. Bekris, Andreas Haeberlen, Guillaume Marceau, Erion Plaku, J. C. Phillips, Douglas P. Perrin and Jeremy W. Cannon. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Automation and IEEE Transactions on Robotics.
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.