Don Maxwell

729 total citations
17 papers, 374 citations indexed

About

Don Maxwell is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Don Maxwell has authored 17 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 5 papers in Electrical and Electronic Engineering and 4 papers in Information Systems. Recurrent topics in Don Maxwell's work include Distributed systems and fault tolerance (7 papers), Software System Performance and Reliability (6 papers) and Parallel Computing and Optimization Techniques (4 papers). Don Maxwell is often cited by papers focused on Distributed systems and fault tolerance (7 papers), Software System Performance and Reliability (6 papers) and Parallel Computing and Optimization Techniques (4 papers). Don Maxwell collaborates with scholars based in United States, Costa Rica and Brazil. Don Maxwell's co-authors include Saurabh Gupta, Devesh Tiwari, James Rogers, Sudharshan S. Vazhkudai, Christopher Jantzi, Philippe O. A. Navaux, Arthur S Buddy Bland, Daniel Oliveira, Luigi Carro and Paolo Rech and has published in prestigious journals such as Sensors, Journal of Parallel and Distributed Computing and Concurrency and Computation Practice and Experience.

In The Last Decade

Don Maxwell

16 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Don Maxwell United States	10	265	170	134	93	45	17	374
Toshihiro Hanawa Japan	11	276 1.0×	124 0.7×	141 1.1×	120 1.3×	32 0.7×	61	426
Alfonso Sánchez‐Macián Spain	11	189 0.7×	316 1.9×	195 1.5×	74 0.8×	68 1.5×	57	457
Lide Duan United States	9	152 0.6×	181 1.1×	142 1.1×	48 0.5×	36 0.8×	26	316
Martin Dimitrov United States	11	194 0.7×	132 0.8×	210 1.6×	79 0.8×	36 0.8×	23	312
Francis M. David United States	9	335 1.3×	74 0.4×	256 1.9×	236 2.5×	124 2.8×	18	479
Sandro Bartolini Italy	10	162 0.6×	236 1.4×	141 1.1×	40 0.4×	70 1.6×	54	397
J.G. Elerath United States	13	345 1.3×	34 0.2×	92 0.7×	121 1.3×	55 1.2×	22	442
Tzu-Liang Kung Taiwan	11	270 1.0×	127 0.7×	67 0.5×	20 0.2×	29 0.6×	40	307
Jim Brandt United States	12	407 1.5×	88 0.5×	130 1.0×	251 2.7×	74 1.6×	43	527
Don Anderson	8	158 0.6×	75 0.4×	158 1.2×	35 0.4×	41 0.9×	16	294

Countries citing papers authored by Don Maxwell

Since Specialization

Citations

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

Fields of papers citing papers by Don Maxwell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don Maxwell. 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 Don Maxwell. The network helps show where Don Maxwell may publish in the future.

Co-authorship network of co-authors of Don Maxwell

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

All Works

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17 of 17 papers shown

Meneses, Esteban, et al.. (2021). Understanding failures through the lifetime of a top-level supercomputer. Journal of Parallel and Distributed Computing. 154. 27–41. 2 indexed citations

Shankar, Mallikarjun, et al.. (2020). GPU Lifetimes on Titan Supercomputer: Survival Analysis and Reliability. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations

Ostrouchov, George, et al.. (2020). GPU Lifetimes on Titan Supercomputer: Survival Analysis and Reliability. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–14. 21 indexed citations

Meneses, Esteban, et al.. (2019). Analyzing a Five-Year Failure Record of a Leadership-Class Supercomputer. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 196–203. 9 indexed citations

Vergara, Verónica Melesse, Wayne Joubert, Swen Boehm, et al.. (2018). Are we witnessing the spectre of an HPC meltdown?. Concurrency and Computation Practice and Experience. 31(16). 1 indexed citations

Zimmer, Christopher, et al.. (2018). GPU Age-Aware Scheduling to Improve the Reliability of Leadership Jobs on Titan. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 83–93. 10 indexed citations

Gupta, Saurabh, Devesh Tiwari, Christopher Jantzi, James Rogers, & Don Maxwell. (2015). Understanding and Exploiting Spatial Properties of System Failures on Extreme-Scale HPC Systems. 37–44. 60 indexed citations

Meneses, Esteban, Xiang Ni, Terry Jones, & Don Maxwell. (2015). Analyzing the Interplay of Failures and Workload on a Leadership-Class Supercomputer. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 10 indexed citations

Tiwari, Devesh, et al.. (2015). Reliability lessons learned from GPU experience with the Titan supercomputer at Oak Ridge leadership computing facility. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–12. 66 indexed citations

10.

Tiwari, Devesh, Saurabh Gupta, James Rogers, et al.. (2015). Understanding GPU errors on large-scale HPC systems and the implications for system design and operation. Institutional Research Information System (Università degli Studi di Trento). 331–342. 136 indexed citations

11.

Dillow, David, et al.. (2014). I/O Router Placement and Fine-Grained Routing on Titan to Support Spider II. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6 indexed citations

12.

McCurdy, Collin, Jeffrey S. Vetter, Patrick H Worley, & Don Maxwell. (2011). Memphis on an XT5: Pinpointing Memory Performance Problems on Cray Platforms. 61(11). 54–5.

13.

Dillow, David, et al.. (2010). Monitoring Tools for Large Scale Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 22 indexed citations

14.

Gunasekaran, Raghul, David Dillow, Galen Shipman, et al.. (2010). Correlating Log Messages for System Diagnostics. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations

15.

Álvarez, Gonzalo, Don Maxwell, Markus Eisenbach, et al.. (2008). New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-T c superconductors. IEEE International Conference on High Performance Computing, Data, and Analytics. 61. 11 indexed citations

16.

Álvarez, Gonzalo A., Don Maxwell, Markus Eisenbach, et al.. (2008). New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-T<inf>c</inf> superconductors. 250. 1–10. 1 indexed citations

17.

Williamson, Robin E. & Don Maxwell. (2002). Wireless Temperature Monitoring in Remote Systems Analog. Sensors. 19(10). 26–30. 13 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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