Jonathan Bachrach
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques 21
- Embedded Systems Design Techniques 18
- Software top 1%
- Software Testing and Debugging Techniques 4
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- Interconnection Networks and Systems 5
- Energy Efficient Wireless Sensor Networks 5
- Signal Processing top 5%
- Artificial Intelligence top 2%
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- Modular Robots and Swarm Intelligence 13
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- Low-power high-performance VLSI design 4
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- Software Engineering Research 3
Jonathan Bachrach
50 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Hardware and Architecture 946
- Software 299
- Computer Networks and Communications 831
- Signal Processing 198
- Artificial Intelligence 482
Countries citing papers authored by Jonathan Bachrach
This map shows the geographic impact of Jonathan 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 Jonathan Bachrach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Bachrach more than expected).
Fields of papers citing papers by Jonathan Bachrach
This network shows the impact of papers produced by Jonathan 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 Jonathan Bachrach. The network helps show where Jonathan Bachrach may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan 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 | 2023 | 2 | |
| 2 | 2022 | 15 | |
| 3 | 2021 | 2 | |
| 4 | Invited: Open-Source EDA Tools and IP, A View from the Trenches | 2019 | 2 |
| 5 | 2019 | 9 | |
| 6 | 2018 | 6 | |
| 7 | 2018 | 18 | |
| 8 | 2017 | 42 | |
| 9 | 2017 | 14 | |
| 10 | 2017 | 98 | |
| 11 | 2017 | 0 | |
| 12 | 2016 | 70 | |
| 13 | 2016 | 5 | |
| 14 | Self-defending software: Automatically patching security vulnerabilities | 2009 | 1 |
| 15 | 2008 | 6 | |
| 16 | 2007 | 11 | |
| 17 | Constraint and Restoring Force | 2007 | 4 |
| 18 | 2006 | 114 | |
| 19 | Connectionist modeling and control of finite state systems given partial state information | 1995 | 2 |
| 20 | A Connectionist Learning Control Architecture for Navigation | 1990 | 4 |
About Jonathan Bachrach
Jonathan Bachrach is a scholar working on Hardware and Architecture, Software, Computer Networks and Communications, Computational Theory and Mathematics and Signal Processing, having authored 54 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Embedded Systems Design Techniques (18 papers), Modular Robots and Swarm Intelligence (13 papers), Interconnection Networks and Systems (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), Software Testing and Debugging Techniques (4 papers), Low-power high-performance VLSI design (4 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Hardware and Architecture (946 citations), Software (299 citations), Computer Networks and Communications (831 citations), Signal Processing (198 citations) and Artificial Intelligence (482 citations). Jonathan Bachrach has collaborated with scholars based in United States, France and Hong Kong. Frequent co-authors include Jacob Beal, Krste Asanović, Yunsup Lee, Andrew Waterman, Rimas Avižienis, Brian Richards, John Wawrzynek, Huy T. Vo, Howard Shrobe and Jack Koenig. Their work appears in journals such as IEEE Micro, IEEE Transactions on Robotics, IEEE Intelligent Systems, Machine Learning and Neural Computation.
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.