Justin Teller
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Advanced Database Systems and Queries
- Interconnection Networks and Systems
Papers in
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- Parallel Computing and Optimization Techniques 9
- Embedded Systems Design Techniques 5
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- Distributed and Parallel Computing Systems 5
- Interconnection Networks and Systems 3
- Advanced Data Storage Technologies 2
- Co-authors
- Justin Meza (1 shared paper)Scott Franklin (1 shared paper)Paul V. Cavallaro (1 shared paper)Kaushik Veeraraghavan (1 shared paper)Rob Knauerhase (3 shared papers)Benoît Meister (2 shared papers)Dave Dunning (1 shared paper)Shekhar Borkar (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (1 paper)Conference proceedings (1 paper)Proceedings - IEEE International Parallel and Distributed Processing Symposium (1 paper)
- Partner nations
- United States
In The Last Decade
Justin Teller
11 papers receiving 269 citations
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 120
- Computer Networks and Communications 202
- Signal Processing 90
- Information Systems 64
- Artificial Intelligence 82
Countries citing papers authored by Justin Teller
This map shows the geographic impact of Justin Teller'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 Justin Teller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Teller more than expected).
Fields of papers citing papers by Justin Teller
This network shows the impact of papers produced by Justin Teller. 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 Justin Teller. The network helps show where Justin Teller may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin Teller, 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 | 2015 | 166 | |
| 2 | 2013 | 62 | |
| 3 | 2016 | 35 | |
| 4 | 2012 | 8 | |
| 5 | 1 of 3 Large Neural Simulations on Large Parallel Computers | 2005 | 7 |
| 6 | 2008 | 3 | |
| 7 | 2005 | 2 | |
| 8 | 2005 | 2 | |
| 9 | 2009 | 1 | |
| 10 | 2008 | 1 | |
| 11 | 2006 | 1 |
About Justin Teller
Justin Teller is a scholar working on Hardware and Architecture, Computer Networks and Communications, General Health Professions, Information Systems and Signal Processing, having authored 11 papers that have together received 288 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Embedded Systems Design Techniques (5 papers), Distributed and Parallel Computing Systems (5 papers), Interconnection Networks and Systems (3 papers), Advanced Data Storage Technologies (2 papers), Cloud Computing and Resource Management (1 paper), Hermeneutics and Narrative Identity (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Hardware and Architecture (120 citations), Computer Networks and Communications (202 citations), Signal Processing (90 citations), Information Systems (64 citations) and Artificial Intelligence (82 citations). Justin Teller has collaborated with scholars based in United States. Frequent co-authors include Justin Meza, Scott Franklin, Paul V. Cavallaro, Kaushik Veeraraghavan, Rob Knauerhase, Benoît Meister, Dave Dunning, Shekhar Borkar, Josep Torrellas and F. Özgüner. Their work appears in journals such as Proceedings of the VLDB Endowment, Conference proceedings and Proceedings - IEEE International Parallel and Distributed Processing Symposium.
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.