Jeff LaCoss
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
Papers in
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- Neuroscience and Neural Engineering 9
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- Advanced Memory and Neural Computing 8
- Co-authors
- John Granacki (12 shared papers)Jeff Draper (3 shared papers)Jack Wills (9 shared papers)Jaewook Shin (3 shared papers)Jacqueline Chame (3 shared papers)Mary Hall (3 shared papers)Theodore W. Berger (4 shared papers)Vasilis Z. Marmarelis (4 shared papers)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)Journal of Neuroscience Methods (1 paper)Conference proceedings (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Jeff LaCoss
12 papers receiving 439 citations
Peers
Comparison fields: 5 of 41
- Hardware and Architecture 228
- Computer Networks and Communications 204
- Cellular and Molecular Neuroscience 127
- Cognitive Neuroscience 130
- Electrical and Electronic Engineering 204
Countries citing papers authored by Jeff LaCoss
This map shows the geographic impact of Jeff LaCoss'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 Jeff LaCoss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff LaCoss more than expected).
Fields of papers citing papers by Jeff LaCoss
This network shows the impact of papers produced by Jeff LaCoss. 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 Jeff LaCoss. The network helps show where Jeff LaCoss may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff LaCoss, 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 | 150 | |
| 2 | 1999 | 135 | |
| 3 | 2012 | 104 | |
| 4 | 2007 | 20 | |
| 5 | 2006 | 12 | |
| 6 | 2009 | 12 | |
| 7 | 2004 | 10 | |
| 8 | 2007 | 8 | |
| 9 | 2008 | 4 | |
| 10 | 2006 | 4 | |
| 11 | 2002 | 2 | |
| 12 | 2006 | 1 |
About Jeff LaCoss
Jeff LaCoss is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Biomedical Engineering and Computer Networks and Communications, having authored 12 papers that have together received 462 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (8 papers), Analog and Mixed-Signal Circuit Design (4 papers), EEG and Brain-Computer Interfaces (3 papers), Neural dynamics and brain function (3 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (228 citations), Computer Networks and Communications (204 citations), Cellular and Molecular Neuroscience (127 citations), Cognitive Neuroscience (130 citations) and Electrical and Electronic Engineering (204 citations). Jeff LaCoss has collaborated with scholars based in United States. Frequent co-authors include John Granacki, Jeff Draper, Jack Wills, Jaewook Shin, Jacqueline Chame, Mary Hall, Theodore W. Berger, Vasilis Z. Marmarelis, Chun Chen and Craig S. Steele. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, 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.