James H. Laros

735 total citations
27 papers, 390 citations indexed

About

James H. Laros is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, James H. Laros has authored 27 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 17 papers in Hardware and Architecture and 15 papers in Information Systems. Recurrent topics in James H. Laros's work include Advanced Data Storage Technologies (19 papers), Parallel Computing and Optimization Techniques (17 papers) and Cloud Computing and Resource Management (15 papers). James H. Laros is often cited by papers focused on Advanced Data Storage Technologies (19 papers), Parallel Computing and Optimization Techniques (17 papers) and Cloud Computing and Resource Management (15 papers). James H. Laros collaborates with scholars based in United States, Ireland and Canada. James H. Laros's co-authors include Kevin Pedretti, Kurt Brian Ferreira, Suzanne M. Kelly, Ron Brightwell, Courtenay Vaughan, Patrick G. Bridges, Jon Stearley, Rolf Riesen, Ron A. Oldfield and Dorian Arnold and has published in prestigious journals such as The Journal of Chemical Physics, Computer and Sustainable Computing Informatics and Systems.

In The Last Decade

James H. Laros

25 papers receiving 369 citations

Peers

James H. Laros

CNC

EEE

Gerald Sabin United States

Hwanju Kim South Korea

Luis Angel D. Bathen United States

Kapil Arya United States

Ajay Joshi United States

F. Travostino United States

Akshitha Sriraman United States

David P. Bunde United States

Daniel Raho Greece

T.T. Kwan United States

Gerald Sabin United States

James H. Laros

190 ×0.6

CNC

153 ×0.6

120 ×0.9

34 ×0.3

EEE

19 ×1.4

Citations per year, relative to James H. Laros James H. Laros (= 1×) peers Gerald Sabin

Countries citing papers authored by James H. Laros

Since Specialization

Citations

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

Fields of papers citing papers by James H. Laros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James H. Laros. 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 James H. Laros. The network helps show where James H. Laros may publish in the future.

Co-authorship network of co-authors of James H. Laros

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

All Works

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20 of 20 papers shown

Pérez, Danny, Aidan P. Thompson, Stan Moore, et al.. (2025). Breaking the mold: Overcoming the time constraints of molecular dynamics on general-purpose hardware. The Journal of Chemical Physics. 162(7). 1 indexed citations

Moore, Stan, Tomas Oppelstrup, Danny Pérez, et al.. (2024). Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System. 1–13. 5 indexed citations

Estrada, Trilce, et al.. (2022). APE: Metrics for understanding application performance efficiency under power caps. Sustainable Computing Informatics and Systems. 34. 100702–100702. 1 indexed citations

Pedretti, Kevin, Andrew Younge, Simon David Hammond, et al.. (2020). Chronicles of Astra: Challenges and Lessons from the First Petascale Arm Supercomputer. 1–14. 6 indexed citations

Younge, Andrew, Ryan E. Grant, James H. Laros, et al.. (2018). Small scale to extreme: Methods for characterizing energy efficiency in supercomputing applications. Sustainable Computing Informatics and Systems. 21. 90–102. 3 indexed citations

Pedretti, Kevin, Ryan E. Grant, James H. Laros, et al.. (2018). A Comparison of Power Management Mechanisms: P-States vs. Node-Level Power Cap Control. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 725–729.

Grant, Ryan E., et al.. (2016). Standardizing Power Monitoring and Control at Exascale. Computer. 49(10). 38–46. 26 indexed citations

Laros, James H., Kevin Pedretti, Suzanne M. Kelly, et al.. (2015). Power API for HPC: Standardizing Power Measurement and Control.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Laros, James H. & Douglas W. Doerfler. (2015). Trinity Advanced Technology System Overview.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

10.

Bridges, Patrick G., et al.. (2014). An evaluation of BitTorrent's performance in HPC environments. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 2 indexed citations

11.

Grant, Ryan E., Stephen L. Olivier, James H. Laros, Ron Brightwell, & Allan Porterfield. (2014). Metrics for Evaluating Energy Saving Techniques for Resilient HPC Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 790–797. 2 indexed citations

12.

Laros, James H., Kevin Pedretti, Suzanne M. Kelly, et al.. (2012). Energy-Efficient High Performance Computing: Measurement and Tuning. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 21 indexed citations

13.

Laros, James H., Kevin Pedretti, Suzanne M. Kelly, et al.. (2012). Energy-Efficient High Performance Computing. SpringerBriefs in computer science. 18 indexed citations

14.

Laros, James H., Kevin Pedretti, Suzanne M. Kelly, Wei Shu, & Courtenay Vaughan. (2012). Energy based performance tuning for large scale high performance computing systems. 6. 33 indexed citations

15.

Bridges, Patrick G., et al.. (2012). A Peer-to-Peer Architecture for Supporting Dynamic Shared Libraries in Large-Scale Systems. 55–61. 3 indexed citations

16.

Ferreira, Kurt Brian, Jon Stearley, James H. Laros, et al.. (2011). Evaluating the viability of process replication reliability for exascale systems. 1–12. 146 indexed citations

17.

Laros, James H., et al.. (2009). Investigating Real Power Usage on Red Storm. 1 indexed citations

18.

Laros, James H., et al.. (2009). Topics on measuring real power usage on high performance computing platforms. 1–8. 25 indexed citations

19.

Laros, James H., et al.. (2007). Red storm IO performance analysis. 50–57. 8 indexed citations

20.

Ward, Lee & James H. Laros. (2003). Implementing scalable disk-less clusters using the Network File System (NFS).. 3 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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