D. Brian Larkins

445 total citations
19 papers, 292 citations indexed

About

D. Brian Larkins is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Science Applications. According to data from OpenAlex, D. Brian Larkins has authored 19 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 8 papers in Computer Networks and Communications and 5 papers in Computer Science Applications. Recurrent topics in D. Brian Larkins's work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (7 papers) and Teaching and Learning Programming (5 papers). D. Brian Larkins is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (7 papers) and Teaching and Learning Programming (5 papers). D. Brian Larkins collaborates with scholars based in United States. D. Brian Larkins's co-authors include James Dinan, P. Sadayappan, Sriram Krishnamoorthy, Jarek Nieplocha, Louis J. Rubbo, James C. Moore, Atanas Rountev, Srinivasan Parthasarathy, William M. Jones and Philip Roberts and has published in prestigious journals such as IEEE International Conference on High Performance Computing, Data, and Analytics, Procedia Computer Science and Journal of computing sciences in colleges.

In The Last Decade

D. Brian Larkins

17 papers receiving 281 citations

Peers

D. Brian Larkins
Amir Kamil United States
Sung-Eun Choi United States
Carl Burch United States
Matthew A. Hammer United States
Jay Smith United States
Eli M. Dow United States
Muztaba Fuad United States
Daniel E. Stevenson United States
Amir Kamil United States
D. Brian Larkins
Citations per year, relative to D. Brian Larkins D. Brian Larkins (= 1×) peers Amir Kamil

Countries citing papers authored by D. Brian Larkins

Since Specialization
Citations

This map shows the geographic impact of D. Brian Larkins'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 D. Brian Larkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Brian Larkins more than expected).

Fields of papers citing papers by D. Brian Larkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Brian Larkins. 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 D. Brian Larkins. The network helps show where D. Brian Larkins may publish in the future.

Co-authorship network of co-authors of D. Brian Larkins

This figure shows the co-authorship network connecting the top 25 collaborators of D. Brian Larkins. A scholar is included among the top collaborators of D. Brian Larkins 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 D. Brian Larkins. D. Brian Larkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Dinan, James, et al.. (2021). Optimizing Work Stealing Communication with Structured Atomic Operations. 1–10. 2 indexed citations
2.
Larkins, D. Brian, et al.. (2019). Accelerated Work Stealing. 1–10. 3 indexed citations
3.
Larkins, D. Brian, et al.. (2018). Evaluating computer science camp topics in increasing girls' confidence in computer science. Journal of computing sciences in colleges. 33(5). 70–78. 5 indexed citations
4.
Larkins, D. Brian, et al.. (2018). Efficient Runtime Support for a Partitioned Global Logical Address Space. 1–10. 3 indexed citations
5.
Larkins, D. Brian & James Dinan. (2016). Extending a message passing runtime to support partitioned, global logical address spaces. 11–16. 2 indexed citations
6.
Larkins, D. Brian, et al.. (2015). E-Assess. 679–679.
8.
Larkins, D. Brian, et al.. (2013). Using FPGAs as a reconfigurable teaching tool throughout CS systems curriculum. 397–402. 1 indexed citations
9.
Larkins, D. Brian, et al.. (2013). Application of the cognitive apprenticeship framework to a middle school robotics camp. 89–94. 25 indexed citations
10.
Larkins, D. Brian. (2012). Improving data locality for irregular partitioned global address space parallel programs. 280–285. 2 indexed citations
11.
Larkins, D. Brian & Philip Roberts. (2011). A Process Focused Approach to ERP Integration with CAD. 29–36. 1 indexed citations
12.
Larkins, D. Brian & William M. Jones. (2011). Targeting FPGA-based processors for an implementation-driven compiler construction course. 31–35. 2 indexed citations
13.
Jones, William M. & D. Brian Larkins. (2011). Integrating digital logic design and assembly programming using FPGAs in the classroom. 13–18. 2 indexed citations
14.
Sadayappan, P. & D. Brian Larkins. (2010). Efficient run-time support for global view programming of linked data structures on distributed memory parallel systems. 1 indexed citations
15.
Larkins, D. Brian, et al.. (2010). Introductory computational science using MATLAB and image processing. Procedia Computer Science. 1(1). 913–919. 16 indexed citations
16.
Dinan, James, D. Brian Larkins, P. Sadayappan, Sriram Krishnamoorthy, & Jarek Nieplocha. (2009). Scalable work stealing. 1–11. 172 indexed citations
17.
Larkins, D. Brian, James Dinan, Sriram Krishnamoorthy, et al.. (2008). Global trees: a framework for linked data structures on distributed memory parallel systems. IEEE International Conference on High Performance Computing, Data, and Analytics. 57. 5 indexed citations
18.
Dinan, James, Sriram Krishnamoorthy, D. Brian Larkins, Jarek Nieplocha, & P. Sadayappan. (2008). Scioto: A Framework for Global-View Task Parallelism. 22. 586–593. 44 indexed citations
19.
Larkins, D. Brian, et al.. (2008). Global Trees: A framework for linked data structures on distributed memory parallel systems. 1–13. 5 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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