William L. Barth

800 total citations
31 papers, 533 citations indexed

About

William L. Barth is a scholar working on Computer Networks and Communications, Computational Mechanics and Hardware and Architecture. According to data from OpenAlex, William L. Barth has authored 31 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 6 papers in Computational Mechanics and 6 papers in Hardware and Architecture. Recurrent topics in William L. Barth's work include Distributed and Parallel Computing Systems (12 papers), Advanced Data Storage Technologies (9 papers) and Software System Performance and Reliability (6 papers). William L. Barth is often cited by papers focused on Distributed and Parallel Computing Systems (12 papers), Advanced Data Storage Technologies (9 papers) and Software System Performance and Reliability (6 papers). William L. Barth collaborates with scholars based in United States, United Kingdom and Germany. William L. Barth's co-authors include James C. Browne, Graham F. Carey, Robert L. DeLeon, Matthew D. Jones, Thomas R. Furlani, Abani Patra, R. T. Evans, Robert McLay, Steven M. Gallo and Tommy Minyard and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal for Numerical Methods in Fluids and ACM Transactions on Mathematical Software.

In The Last Decade

William L. Barth

29 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William L. Barth United States 12 314 170 104 87 81 31 533
Tiankai Tu United States 14 217 0.7× 50 0.3× 97 0.9× 154 1.8× 51 0.6× 23 677
Richard P. Kendall United States 12 100 0.3× 154 0.9× 46 0.4× 305 3.5× 119 1.5× 32 776
Max Grossman United States 11 208 0.7× 116 0.7× 208 2.0× 39 0.4× 10 0.1× 23 512
David Beckingsale United States 12 311 1.0× 87 0.5× 325 3.1× 39 0.4× 21 0.3× 25 461
Tom Scogland United States 16 502 1.6× 222 1.3× 438 4.2× 38 0.4× 36 0.4× 43 696
Haoqiang Jin United States 15 595 1.9× 226 1.3× 483 4.6× 61 0.7× 25 0.3× 55 804
Olga Pearce United States 10 297 0.9× 106 0.6× 273 2.6× 28 0.3× 25 0.3× 30 443
Elena Pourmal United States 6 156 0.5× 46 0.3× 69 0.7× 20 0.2× 51 0.6× 7 346
Patrick McCormick United States 12 270 0.9× 85 0.5× 266 2.6× 164 1.9× 31 0.4× 46 694
Mike Fagan United States 6 320 1.0× 224 1.3× 336 3.2× 50 0.6× 20 0.2× 13 706

Countries citing papers authored by William L. Barth

Since Specialization
Citations

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

Fields of papers citing papers by William L. Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William L. Barth. 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 William L. Barth. The network helps show where William L. Barth may publish in the future.

Co-authorship network of co-authors of William L. Barth

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

All Works

20 of 20 papers shown
1.
Jhumka, Arshad, Theo Damoulas, M.-C. Sawley, et al.. (2017). Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis. Warwick Research Archive Portal (University of Warwick). 33. 317–327. 8 indexed citations
2.
Stanzione, Dan, William L. Barth, Niall Gaffney, et al.. (2017). Stampede 2. 1–8. 36 indexed citations
3.
Jhumka, Arshad, et al.. (2016). Using Message Logs and Resource Use Data for Cluster Failure Diagnosis. 232–241. 11 indexed citations
4.
Gallo, Steven M., Thomas R. Furlani, Matthew D. Jones, et al.. (2015). Open XDMoD: A Tool for the Comprehensive Management of High-Performance Computing Resources. Computing in Science & Engineering. 17(4). 52–62. 72 indexed citations
5.
James, Doug L., Robert McLay, Si Liu, et al.. (2015). Tales from the trenches. 1–11. 4 indexed citations
6.
Evans, R. T., William L. Barth, James C. Browne, et al.. (2014). Comprehensive Resource Use Monitoring for HPC Systems with TACC Stats. 13–21. 45 indexed citations
7.
McLay, Robert, et al.. (2014). A User-Friendly Approach for Tuning Parallel File Operations. 229–236. 14 indexed citations
8.
Heinecke, Alexander, Alexander Breuer, Michael Bäder, et al.. (2014). Petascale High Order Dynamic Rupture Earthquake Simulations on Heterogeneous Supercomputers. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3–14. 90 indexed citations
9.
Jhumka, Arshad, et al.. (2013). Linking Resource Usage Anomalies with System Failures from Cluster Log Data. 111–120. 34 indexed citations
10.
Gaither, Kelly, Hank Childs, Karl W. Schulz, et al.. (2012). Visual Analytics for Finding Critical Structures in Massive Time-Varying Turbulent-Flow Simulations. IEEE Computer Graphics and Applications. 32(4). 34–45. 5 indexed citations
11.
12.
Potluri, Sreeram, Karen Tomko, Sayantan Sur, et al.. (2010). Quantifying performance benefits of overlap using MPI-2 in a seismic modeling application. 17–25. 18 indexed citations
13.
Barth, William L., et al.. (2008). Non‐Newtonian flow in branched pipes and artery models. International Journal for Numerical Methods in Fluids. 57(5). 531–553. 10 indexed citations
14.
Barth, William L. & Christopher Burns. (2007). Virtual Rheoscopic Fluids for Flow Visualization. IEEE Transactions on Visualization and Computer Graphics. 13(6). 1751–1758. 4 indexed citations
15.
Barth, William L. & Graham F. Carey. (2007). On a boundary condition for pressure‐driven laminar flow of incompressible fluids. International Journal for Numerical Methods in Fluids. 54(11). 1313–1325. 16 indexed citations
16.
Cohen, Shirley, et al.. (2006). Scientific formats for object-relational database systems. ACM SIGMOD Record. 35(2). 10–15. 11 indexed citations
17.
Barth, William L. & Graham F. Carey. (2006). On a Natural-Convection Benchmark Problem in Non-Newtonian Fluids. Numerical Heat Transfer Part B Fundamentals. 50(3). 193–216. 20 indexed citations
18.
Hofmann, Sandra, Dimitri Ackermann, William L. Barth, et al.. (2005). HEAVY ELEMENT RESEARCH AT SHIP. 157–167. 1 indexed citations
19.
Carey, Graham F. & William L. Barth. (2004). EXTENSION OF THE CHT-01 NATURAL CONVECTION BENCHMARK PROBLEM TO NON-NEWTONIAN FLUIDS. 17–17. 1 indexed citations
20.
Verra, Alessandro & William L. Barth. (1991). Torsion on K3-sections. Iris (Roma Tre University). 32. 1–24. 1 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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