Abraham Bachrach
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 0.5%
- Media Technology top 2%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Co-authors
- Nicholas RoyAdam BryRuijie HePeter HenryAlex KendallRyan KennedySamuel PrenticeMarkus Achtelik
- Topics
- Robotics and Sensor-Based Localization (10 papers)Robotic Path Planning Algorithms (10 papers)Target Tracking and Data Fusion in Sensor Networks (4 papers)
- Journals
- The International Journal of Robotics ResearchIEEE Robotics & Automation MagazineJournal of Field Robotics
- Partner nations
- United States
In The Last Decade
Abraham Bachrach
17 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 1.6k
- Aerospace Engineering 1.2k
- Media Technology 250
- Electrical and Electronic Engineering 225
- Control and Systems Engineering 194
Countries citing papers authored by Abraham Bachrach
This map shows the geographic impact of Abraham Bachrach'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 Abraham Bachrach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abraham Bachrach more than expected).
Fields of papers citing papers by Abraham Bachrach
This network shows the impact of papers produced by Abraham Bachrach. 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 Abraham Bachrach. The network helps show where Abraham Bachrach may publish in the future.
Co-authorship network of co-authors of Abraham Bachrach
This figure shows the co-authorship network connecting the top 25 collaborators of Abraham Bachrach. A scholar is included among the top collaborators of Abraham Bachrach 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 Abraham Bachrach. Abraham Bachrach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | End-to-End Learning of Geometry and Context for Deep Stereo Regressionbreakdown → | 870 |
| 3 | 109 | |
| 4 | 18 | |
| 5 | 120 | |
| 6 | 125 | |
| 7 | 217 | |
| 8 | Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle | 8 |
| 9 | 35 | |
| 10 | 59 | |
| 11 | 132 | |
| 12 | 35 | |
| 13 | 182 | |
| 14 | 152 | |
| 15 | 30 | |
| 16 | When gossip is good: distributed probabilistic inference for detection of slow network intrusions | 42 |
| 17 | 29 |
About Abraham Bachrach
Abraham Bachrach is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Robotic Path Planning Algorithms (10 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Aerospace Engineering (1.2k citations) and Media Technology (250 citations). Abraham Bachrach has collaborated with scholars based in United States. Frequent co-authors include Nicholas Roy, Adam Bry, Ruijie He, Peter Henry, Alex Kendall, Ryan Kennedy, Samuel Prentice, Nicholas Roy, Markus Achtelik and Charles Richter. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics & Automation Magazine and Journal of Field 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.