Justin Teller

474 total citations
11 papers, 288 citations indexed

About

Justin Teller is a scholar working on Hardware and Architecture, Computer Networks and Communications and General Health Professions. According to data from OpenAlex, Justin Teller has authored 11 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hardware and Architecture, 8 papers in Computer Networks and Communications and 1 paper in General Health Professions. Recurrent topics in Justin Teller's work include Parallel Computing and Optimization Techniques (9 papers), Distributed and Parallel Computing Systems (5 papers) and Embedded Systems Design Techniques (5 papers). Justin Teller is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Distributed and Parallel Computing Systems (5 papers) and Embedded Systems Design Techniques (5 papers). Justin Teller collaborates with scholars based in United States. Justin Teller's co-authors include Paul V. Cavallaro, Justin Meza, Scott Franklin, Kaushik Veeraraghavan, Rob Knauerhase, Benoît Meister, Dave Dunning, Howard David, G. Venkatesh and F. Özgüner and has published in prestigious journals such as Proceedings of the VLDB Endowment, Proceedings - IEEE International Parallel and Distributed Processing Symposium and Conference proceedings.

In The Last Decade

Justin Teller

11 papers receiving 269 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Justin Teller United States 5 202 120 90 82 64 11 288
Milenko Drinić United States 8 189 0.9× 172 1.4× 97 1.1× 143 1.7× 75 1.2× 19 341
Pierre Olivier United Kingdom 10 206 1.0× 107 0.9× 61 0.7× 135 1.6× 116 1.8× 45 305
Caroline Trippel United States 8 117 0.6× 119 1.0× 47 0.5× 148 1.8× 74 1.2× 21 271
Kapil Anand United States 8 129 0.6× 175 1.5× 109 1.2× 112 1.4× 71 1.1× 12 287
Douglas H. Summerville United States 10 232 1.1× 83 0.7× 102 1.1× 160 2.0× 56 0.9× 34 335
William N. Sumner United States 13 238 1.2× 108 0.9× 114 1.3× 118 1.4× 195 3.0× 32 429
Alexander L. Wijesinha United States 11 314 1.6× 67 0.6× 67 0.7× 91 1.1× 74 1.2× 60 378
Richard Skowyra United States 11 289 1.4× 34 0.3× 116 1.3× 162 2.0× 59 0.9× 24 349
Yonghong Yan United States 7 143 0.7× 135 1.1× 23 0.3× 21 0.3× 63 1.0× 34 209

Countries citing papers authored by Justin Teller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Justin Teller

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Teller. A scholar is included among the top collaborators of Justin Teller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Justin Teller. Justin Teller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Mattson, Timothy G., Vincent Cavé, Vivek Sarkar, et al.. (2016). The Open Community Runtime: A runtime system for extreme scale computing. 35 indexed citations
2.
Franklin, Scott, et al.. (2015). Gorilla. Proceedings of the VLDB Endowment. 8(12). 1816–1827. 166 indexed citations
3.
Agrawal, Abhishek, Shekhar Borkar, Howard David, et al.. (2013). Runnemede: An architecture for Ubiquitous High-Performance Computing. 198–209. 62 indexed citations
4.
Knauerhase, Rob, et al.. (2012). For extreme parallelism, your OS is Sooooo last-millennium. 3–3. 8 indexed citations
5.
Teller, Justin & F. Özgüner. (2009). Scheduling tasks on reconfigurable hardware with a list scheduler. 1–4. 1 indexed citations
6.
Teller, Justin, F. Özgüner, & Robert L. Ewing. (2008). Scheduling reconfiguration at runtime on the trips processor. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 66. 1–8. 1 indexed citations
7.
Teller, Justin, F. Özgüner, & Robert L. Ewing. (2008). Scheduling Task Graphs on Heterogeneous Multiprocessors with Reconfigurable Hardware. 2. 17–24. 3 indexed citations
8.
Teller, Justin, F. Özgüner, & Robert L. Ewing. (2006). The Morphable Nanoprocessor Architecture: Reconfiguration at Runtime. Conference proceedings. 399–403. 1 indexed citations
9.
Hereld, Mark, et al.. (2005). 1 of 3 Large Neural Simulations on Large Parallel Computers. 7 indexed citations
10.
Teller, Justin, Robert L. Ewing, & F. Özgüner. (2005). What are the building blocks of nanoprocessor architecture?. 927–930 Vol. 2. 2 indexed citations
11.
Teller, Justin, et al.. (2005). Performance characteristics of MAUI. 44–53. 2 indexed citations

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.

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