Bo Marr
Impact in
- Hardware and Architecture top 10%
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Low-power high-performance VLSI design
- CCD and CMOS Imaging Sensors
Papers in
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- Low-power high-performance VLSI design 8
- Advanced Memory and Neural Computing 3
- Radiation Effects in Electronics 2
- CCD and CMOS Imaging Sensors 2
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- Parallel Computing and Optimization Techniques 3
- Embedded Systems Design Techniques 2
- Co-authors
- Jennifer Hasler (3 shared papers)Brian Degnan (4 shared papers)Krishna V. Palem (1 shared paper)P. Hasler (5 shared papers)D. R. Anderson (1 shared paper)David V. Anderson (4 shared papers)Stephen Brink (2 shared papers)Arindam Basu (1 shared paper)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2 papers)Frontiers in Neuroscience (2 papers)VLSI design (1 paper)
- Partner nations
- United States
In The Last Decade
Bo Marr
11 papers receiving 472 citations
Peers
Comparison fields: 5 of 44
- Hardware and Architecture 72
- Electrical and Electronic Engineering 438
- Artificial Intelligence 158
- Cellular and Molecular Neuroscience 90
- Cognitive Neuroscience 92
Countries citing papers authored by Bo Marr
This map shows the geographic impact of Bo Marr'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 Bo Marr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Marr more than expected).
Fields of papers citing papers by Bo Marr
This network shows the impact of papers produced by Bo Marr. 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 Bo Marr. The network helps show where Bo Marr may publish in the future.
Co-authors
The 9 scholars most cited alongside Bo Marr, 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 | 2013 | 288 | |
| 2 | 2006 | 91 | |
| 3 | 2012 | 53 | |
| 4 | 2015 | 34 | |
| 5 | 2010 | 7 | |
| 6 | 2014 | 5 | |
| 7 | 2009 | 4 | |
| 8 | 2008 | 4 | |
| 9 | 2013 | 2 | |
| 10 | 2009 | 1 | |
| 11 | 2010 | 1 |
About Bo Marr
Bo Marr is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computational Theory and Mathematics, Biomedical Engineering and Computer Networks and Communications, having authored 11 papers that have together received 490 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (8 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Memory and Neural Computing (3 papers), Analog and Mixed-Signal Circuit Design (2 papers), Radiation Effects in Electronics (2 papers), Embedded Systems Design Techniques (2 papers), Numerical Methods and Algorithms (2 papers) and CCD and CMOS Imaging Sensors (2 papers). The work is most often cited by research in Hardware and Architecture (72 citations), Electrical and Electronic Engineering (438 citations), Artificial Intelligence (158 citations), Cellular and Molecular Neuroscience (90 citations) and Cognitive Neuroscience (92 citations). Bo Marr has collaborated with scholars based in United States. Frequent co-authors include Jennifer Hasler, Brian Degnan, Krishna V. Palem, P. Hasler, D. R. Anderson, David V. Anderson, Stephen Brink, Arindam Basu and Aniruddha Dasgupta. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Frontiers in Neuroscience and VLSI design.
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.