Scott B. Baden

2.2k total citations
79 papers, 1.3k citations indexed

About

Scott B. Baden is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Mechanics. According to data from OpenAlex, Scott B. Baden has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 44 papers in Hardware and Architecture and 14 papers in Computational Mechanics. Recurrent topics in Scott B. Baden's work include Parallel Computing and Optimization Techniques (42 papers), Distributed and Parallel Computing Systems (31 papers) and Advanced Data Storage Technologies (26 papers). Scott B. Baden is often cited by papers focused on Parallel Computing and Optimization Techniques (42 papers), Distributed and Parallel Computing Systems (31 papers) and Advanced Data Storage Technologies (26 papers). Scott B. Baden collaborates with scholars based in United States, Norway and Austria. Scott B. Baden's co-authors include Scott R. Kohn, Xing Cai, Didem Unat, Stephen J. Fink, Thomas M. Bartol, Terrence J. Sejnowski, Boris Kaminsky, Joel R. Stiles, Markus Dittrich and Rex Kerr and has published in prestigious journals such as Journal of Computational Physics, Communications of the ACM and Journal of Computational Chemistry.

In The Last Decade

Scott B. Baden

75 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott B. Baden United States 18 607 555 184 134 116 79 1.3k
Toshio Endo Japan 19 849 1.4× 597 1.1× 73 0.4× 132 1.0× 185 1.6× 105 1.8k
Thomas Sterling United States 19 1.0k 1.7× 752 1.4× 52 0.3× 66 0.5× 336 2.9× 107 1.6k
John A. Gunnels United States 23 653 1.1× 729 1.3× 50 0.3× 81 0.6× 96 0.8× 58 1.3k
Nathan Doss United States 4 877 1.4× 821 1.5× 67 0.4× 88 0.7× 171 1.5× 4 1.4k
В. М. Волков Belarus 14 1.0k 1.7× 1.2k 2.2× 75 0.4× 153 1.1× 176 1.5× 46 2.2k
Abhinav Bhatelé United States 27 1.4k 2.3× 1.1k 1.9× 190 1.0× 43 0.3× 570 4.9× 110 2.1k
Per Hammarlund United States 8 374 0.6× 397 0.7× 28 0.2× 57 0.4× 100 0.9× 9 796
Guochun Shi United States 9 567 0.9× 584 1.1× 65 0.4× 67 0.5× 222 1.9× 22 1.2k
Michael Mascagni United States 21 174 0.3× 111 0.2× 141 0.8× 73 0.5× 80 0.7× 79 1.2k
Mark Hereld United States 20 347 0.6× 156 0.3× 48 0.3× 36 0.3× 91 0.8× 79 1.2k

Countries citing papers authored by Scott B. Baden

Since Specialization
Citations

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

Fields of papers citing papers by Scott B. Baden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott B. Baden. 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 Scott B. Baden. The network helps show where Scott B. Baden may publish in the future.

Co-authorship network of co-authors of Scott B. Baden

This figure shows the co-authorship network connecting the top 25 collaborators of Scott B. Baden. A scholar is included among the top collaborators of Scott B. Baden 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 Scott B. Baden. Scott B. Baden 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.
Baden, Scott B., Steven Hofmeyr, Mathias Jacquelin, et al.. (2019). UPC++: A High-Performance Communication Framework for Asynchronous Computation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 963–973. 26 indexed citations
2.
Das, Anwesha, Frank Mueller, Paul Hargrove, Eric Roman, & Scott B. Baden. (2018). Doomsday: predicting which node will fail when on supercomputers. IEEE International Conference on High Performance Computing, Data, and Analytics. 9. 12 indexed citations
3.
Das, Anwesha, Frank Mueller, Paul Hargrove, Eric Roman, & Scott B. Baden. (2018). Doomsday: Predicting Which Node Will Fail When on Supercomputers. 108–121. 33 indexed citations
4.
Bonachea, Dan, Paul Hargrove, Mathias Jacquelin, et al.. (2017). The UPC++ PGAS library for Exascale Computing. eScholarship (California Digital Library). 1–4. 15 indexed citations
5.
Baden, Scott B., et al.. (2014). Effective multi-GPU communication using multiple CUDA streams and threads. 981–986. 18 indexed citations
6.
Nguyen, Tan, et al.. (2013). A software-based dynamic-warp scheduling approach for load-balancing the Viola–Jones face detection algorithm on GPUs. Journal of Parallel and Distributed Computing. 73(5). 677–685. 10 indexed citations
7.
Nguyen, Tan, Pietro Cicotti, Eric J. Bylaska, Dan Quinlan, & Scott B. Baden. (2012). Bamboo: translating MPI applications to a latency-tolerant, data-driven form. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 9 indexed citations
8.
Bylaska, Eric J., Kiril Tsemekhman, Scott B. Baden, John H. Weare, & Hannes Jónsson. (2010). Parallel implementation of γ‐point pseudopotential plane‐wave DFT with exact exchange. Journal of Computational Chemistry. 32(1). 54–69. 42 indexed citations
9.
Kerr, Rex, Thomas M. Bartol, Boris Kaminsky, et al.. (2008). Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces. SIAM Journal on Scientific Computing. 30(6). 3126–3149. 230 indexed citations
10.
Arrowsmith, J Ramón, et al.. (2006). An Efficient Implementation of a Local Binning Algorithm for Digital Elevation Model Generation of LiDAR/ALSM Dataset. AGU Fall Meeting Abstracts. 2006. 19 indexed citations
11.
Peisert, Sean, et al.. (2000). A Programming Model for Automated Decomposition on Heterogeneous Clusters of Multiprocessors. 2 indexed citations
12.
Baden, Scott B. & Stephen J. Fink. (1998). Communication overlap in multi-tier parallel algorithms. Conference on High Performance Computing (Supercomputing). 1–20. 18 indexed citations
13.
Fink, Stephen J. & Scott B. Baden. (1995). Run-time data distribution for block-structured applications on distributed memory computers. PPSC. 762–767. 4 indexed citations
14.
Figueira, Silvia & Scott B. Baden. (1995). Performance analysis of parallel strategies for localized N-body solvers. PPSC. 349–354. 1 indexed citations
15.
Kohn, Scott R. & Scott B. Baden. (1995). The Parallelization of an Adaptive Multigrid Eigenvalue Solver with LPARX.. PPSC. 552–557. 3 indexed citations
16.
Kohn, Scott R. & Scott B. Baden. (1995). Irregular Coarse‐Grain Data Parallelism under LPARX. Scientific Programming. 5(3). 185–201. 22 indexed citations
17.
Kohn, Scott R. & Scott B. Baden. (1993). An Implementation of the LPAR Parallel Programming Model for Scientific Computations.. PPSC. 759–766. 7 indexed citations
18.
Baden, Scott B. & Scott R. Kohn. (1991). A Comparison of Load Balancing Strategies for Particle Methods Running on MIMD Multiprocessors. 442–450. 2 indexed citations
19.
Baden, Scott B. & Elbridge Gerry Puckett. (1988). A fast vortex code for computing 2-D flow in a box. 4 indexed citations
20.
Baden, Scott B.. (1987). Programming Abstractions for Run-Time Partitioning of Scientific Continuum Calculations Running on Multiprocessors. eScholarship (California Digital Library). 223–230. 12 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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