Abraham Bachrach

4.3k total citations · 1 hit paper
17 papers, 2.2k citations indexed

About

Abraham Bachrach is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Abraham Bachrach has authored 17 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Abraham Bachrach's 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). Abraham Bachrach is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Robotic Path Planning Algorithms (10 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Abraham Bachrach collaborates with scholars based in United States. Abraham Bachrach's co-authors include Nicholas Roy, Adam Bry, Ruijie He, Peter Henry, Alex Kendall, Ryan Kennedy, Samuel Prentice, Nicholas Roy, Markus Achtelik and Charles Richter and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics & Automation Magazine and Journal of Field Robotics.

In The Last Decade

Abraham Bachrach

17 papers receiving 2.1k citations

Hit Papers

End-to-End Learning of Geometry and Context for Deep Ster... 2017 2026 2020 2023 2017 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. End-to-End Learning of Geometry and Context for Deep Stereo Regression
    2017 870 citations Alex Kendall, Peter Henry et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abraham Bachrach United States 15 1.6k 1.2k 250 225 194 17 2.2k
Nabil Aouf United Kingdom 21 1.0k 0.6× 1.4k 1.1× 90 0.4× 244 1.1× 377 1.9× 186 2.2k
Agostino Martinelli France 22 1.8k 1.1× 1.9k 1.6× 149 0.6× 624 2.8× 307 1.6× 69 2.9k
Lionel Heng Switzerland 20 1.2k 0.8× 1.3k 1.0× 59 0.2× 180 0.8× 179 0.9× 25 1.7k
Wonpil Yu South Korea 17 641 0.4× 462 0.4× 114 0.5× 299 1.3× 114 0.6× 90 1.2k
Patrick Rives France 23 2.5k 1.6× 1.8k 1.5× 707 2.8× 266 1.2× 386 2.0× 97 3.0k
Peter Protzel Germany 22 1.2k 0.8× 1.4k 1.1× 71 0.3× 592 2.6× 114 0.6× 83 2.0k
Danping Zou China 16 881 0.6× 1.0k 0.8× 85 0.3× 398 1.8× 80 0.4× 67 1.5k
José M. González Spain 20 716 0.4× 666 0.5× 107 0.4× 350 1.6× 183 0.9× 44 1.4k
Laurent Kneip China 25 1.6k 1.0× 1.7k 1.4× 53 0.2× 419 1.9× 120 0.6× 83 2.2k
Jörg Stückler Germany 25 1.7k 1.1× 1.4k 1.2× 258 1.0× 236 1.0× 415 2.1× 65 2.4k

Countries citing papers authored by Abraham Bachrach

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

17 of 17 papers shown
1.
Bachrach, Abraham. (2021). Skydio Autonomy Engine: Enabling The Next Generation Of Autonomous Flight. 5 indexed citations
2.
Kendall, Alex, et al.. (2017). End-to-End Learning of Geometry and Context for Deep Stereo Regression. 66–75. 870 indexed citations breakdown →
3.
Bry, Adam, Charles Richter, Abraham Bachrach, & Nicholas Roy. (2015). Aggressive flight of fixed-wing and quadrotor aircraft in dense indoor environments. The International Journal of Robotics Research. 34(7). 969–1002. 109 indexed citations
4.
Bachrach, Abraham, et al.. (2013). CELLO: A fast algorithm for Covariance Estimation. 3160–3167. 18 indexed citations
5.
Bachrach, Abraham, Samuel Prentice, Ruijie He, et al.. (2012). Estimation, planning, and mapping for autonomous flight using an RGB-D camera in GPS-denied environments. The International Journal of Robotics Research. 31(11). 1320–1343. 120 indexed citations
6.
Bry, Adam, Abraham Bachrach, & Nicholas Roy. (2012). State estimation for aggressive flight in GPS-denied environments using onboard sensing. 1–8. 125 indexed citations
7.
Bachrach, Abraham, Samuel Prentice, Ruijie He, & Nicholas Roy. (2011). RANGE–Robust autonomous navigation in GPS‐denied environments. Journal of Field Robotics. 28(5). 644–666. 217 indexed citations
8.
He, Ruijie, Abraham Bachrach, & Nicholas Roy. (2010). Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle. DSpace@MIT (Massachusetts Institute of Technology). 8 indexed citations
9.
He, Ruijie, Abraham Bachrach, & Nicholas Roy. (2010). Efficient planning under uncertainty for a target-tracking micro-aerial vehicle. 1–8. 35 indexed citations
10.
Bachrach, Abraham, et al.. (2010). RANGE - robust autonomous navigation in GPS-denied environments. 59 indexed citations
11.
Kaess, Michael, Luke Fletcher, John J. Leonard, et al.. (2010). Multiple relative pose graphs for robust cooperative mapping. 3185–3192. 132 indexed citations
12.
He, Ruijie, Abraham Bachrach, Michael Achtelik, et al.. (2009). On the Design and Use of a Micro Air Vehicle to Track and Avoid Adversaries. The International Journal of Robotics Research. 29(5). 529–546. 35 indexed citations
13.
Achtelik, Markus, Abraham Bachrach, Ruijie He, Samuel Prentice, & Nicholas Roy. (2009). Stereo vision and laser odometry for autonomous helicopters in GPS-denied indoor environments. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 182 indexed citations
14.
Bachrach, Abraham, Ruijie He, & Nicholas Roy. (2009). Autonomous Flight in Unknown Indoor Environments. International Journal of Micro Air Vehicles. 1(4). 217–228. 152 indexed citations
15.
Wood, Robert J., S. Avadhanula, E. Steltz, et al.. (2007). An Autonomous Palm-Sized Gliding Micro Air Vehicle. IEEE Robotics & Automation Magazine. 14(2). 82–91. 30 indexed citations
16.
Dash, Denver, Branislav Kveton, John Mark Agosta, et al.. (2006). When gossip is good: distributed probabilistic inference for detection of slow network intrusions. National Conference on Artificial Intelligence. 1115–1122. 42 indexed citations
17.
Wood, Robert J., S. Avadhanula, E. Steltz, et al.. (2005). Design, fabrication and initial results of a 2g autonomous glider. 29 indexed citations

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.

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