John Granacki
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
Papers in
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- Advanced Memory and Neural Computing 9
- VLSI and FPGA Design Techniques 2
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- Neuroscience and Neural Engineering 9
- Co-authors
- Jeff LaCoss (12 shared papers)Jaewook Shin (3 shared papers)Jacqueline Chame (3 shared papers)Alice C. Parker (5 shared papers)Mary Hall (3 shared papers)Jeff Draper (3 shared papers)Jack Wills (9 shared papers)Theodore W. Berger (5 shared papers)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)BMC Cancer (1 paper)Journal of Neuroscience Methods (1 paper)Conference proceedings (1 paper)PubMed (2 papers)
- Partner nations
- United States
In The Last Decade
John Granacki
19 papers receiving 514 citations
Peers
Comparison fields: 5 of 45
- Hardware and Architecture 278
- Computer Networks and Communications 220
- Cellular and Molecular Neuroscience 120
- Cognitive Neuroscience 122
- Electrical and Electronic Engineering 237
Countries citing papers authored by John Granacki
This map shows the geographic impact of John Granacki'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 John Granacki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Granacki more than expected).
Fields of papers citing papers by John Granacki
This network shows the impact of papers produced by John Granacki. 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 John Granacki. The network helps show where John Granacki may publish in the future.
Co-authors
The 25 scholars most cited alongside John Granacki, 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 | 2002 | 153 | |
| 2 | 1999 | 136 | |
| 3 | 2012 | 104 | |
| 4 | 1985 | 48 | |
| 5 | 2007 | 21 | |
| 6 | 2006 | 12 | |
| 7 | 2009 | 12 | |
| 8 | 2004 | 10 | |
| 9 | 2007 | 8 | |
| 10 | 2002 | 7 | |
| 11 | 1987 | 7 | |
| 12 | 1983 | 6 | |
| 13 | 2006 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2008 | 4 | |
| 16 | Understanding system specifications written in natural language | 1987 | 3 |
| 17 | 2002 | 3 | |
| 18 | 1985 | 2 | |
| 19 | 2006 | 1 |
About John Granacki
John Granacki is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering and Hardware and Architecture, having authored 19 papers that have together received 545 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (9 papers), Neural dynamics and brain function (4 papers), Analog and Mixed-Signal Circuit Design (4 papers), EEG and Brain-Computer Interfaces (3 papers), VLSI and FPGA Design Techniques (2 papers), VLSI and Analog Circuit Testing (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (278 citations), Computer Networks and Communications (220 citations), Cellular and Molecular Neuroscience (120 citations), Cognitive Neuroscience (122 citations) and Electrical and Electronic Engineering (237 citations). John Granacki has collaborated with scholars based in United States. Frequent co-authors include Jeff LaCoss, Jaewook Shin, Jacqueline Chame, Alice C. Parker, Mary Hall, Jeff Draper, Jack Wills, Theodore W. Berger, Vasilis Z. Marmarelis and Craig S. Steele. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, BMC Cancer, Journal of Neuroscience Methods, Conference proceedings and PubMed.
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.