Abraham Bachrach
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- Robotic Path Planning Algorithms 10
- Advanced Vision and Imaging 3
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization 10
- Guidance and Control Systems 3
- Biomimetic flight and propulsion mechanisms 2
- Media Technology top 2%
- Geology top 5%
- Ocean Engineering top 5%
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- Target Tracking and Data Fusion in Sensor Networks 4
- Gaussian Processes and Bayesian Inference 1
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- Indoor and Outdoor Localization Technologies 2
- Co-authors
- Nicholas RoyAdam BryRuijie HePeter HenryAlex KendallRyan KennedySamuel PrenticeMarkus Achtelik
- 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
- Geology 158
- Ocean Engineering 190
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
The 25 scholars most cited alongside Abraham Bachrach, 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 | 2021 | 5 | |
| 2 | End-to-End Learning of Geometry and Context for Deep Stereo Regressionbreakdown → | 2017 | 870 |
| 3 | 2015 | 109 | |
| 4 | 2013 | 18 | |
| 5 | 2012 | 120 | |
| 6 | 2012 | 125 | |
| 7 | 2011 | 217 | |
| 8 | Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle | 2010 | 8 |
| 9 | 2010 | 35 | |
| 10 | 2010 | 59 | |
| 11 | 2010 | 132 | |
| 12 | 2009 | 35 | |
| 13 | 2009 | 182 | |
| 14 | 2009 | 152 | |
| 15 | 2007 | 30 | |
| 16 | When gossip is good: distributed probabilistic inference for detection of slow network intrusions | 2006 | 42 |
| 17 | 2005 | 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), Target Tracking and Data Fusion in Sensor Networks (4 papers), Guidance and Control Systems (3 papers), Advanced Vision and Imaging (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Biomimetic flight and propulsion mechanisms (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). 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.
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.