Babak Behzad

460 total citations
17 papers, 366 citations indexed

About

Babak Behzad is a scholar working on Computer Networks and Communications, Hardware and Architecture and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Babak Behzad has authored 17 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 13 papers in Hardware and Architecture and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Babak Behzad's work include Advanced Data Storage Technologies (14 papers), Parallel Computing and Optimization Techniques (13 papers) and Distributed and Parallel Computing Systems (8 papers). Babak Behzad is often cited by papers focused on Advanced Data Storage Technologies (14 papers), Parallel Computing and Optimization Techniques (13 papers) and Distributed and Parallel Computing Systems (8 papers). Babak Behzad collaborates with scholars based in United States and China. Babak Behzad's co-authors include Marc Snir, Suren Byna, Prabhat, Ruth Aydt, Joey Huchette, Quincey Koziol, Stefan M. Wild, Marianne Winslett, Josep Torrellas and Ehsan Totoni and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, International Journal of Geographical Information Systems and eScholarship (California Digital Library).

In The Last Decade

Babak Behzad

17 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Babak Behzad United States 11 319 213 78 35 28 17 366
Jeremy Logan United States 10 280 0.9× 122 0.6× 71 0.9× 88 2.5× 12 0.4× 39 370
David Dillow United States 12 396 1.2× 199 0.9× 106 1.4× 28 0.8× 8 0.3× 21 415
Jong Youl Choi United States 9 214 0.7× 95 0.4× 59 0.8× 58 1.7× 23 0.8× 18 287
Olivier Aumage France 11 219 0.7× 169 0.8× 57 0.7× 18 0.5× 34 1.2× 25 267
Ruymán Reyes Spain 9 110 0.3× 124 0.6× 45 0.6× 12 0.3× 22 0.8× 20 192
Balazs Gerofi Japan 12 276 0.9× 171 0.8× 121 1.6× 12 0.3× 12 0.4× 47 353
Michael O. McCracken United States 9 236 0.7× 198 0.9× 47 0.6× 18 0.5× 162 5.8× 14 409
James Kohl United States 8 214 0.7× 141 0.7× 55 0.7× 67 1.9× 10 0.4× 23 280
Hans–Christian Hoppe Germany 6 194 0.6× 167 0.8× 66 0.8× 21 0.6× 15 0.5× 9 233

Countries citing papers authored by Babak Behzad

Since Specialization
Citations

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

Fields of papers citing papers by Babak Behzad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Babak Behzad

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

All Works

17 of 17 papers shown
1.
Behzad, Babak, Suren Byna, Prabhat, & Marc Snir. (2018). Optimizing I/O Performance of HPC Applications with Autotuning. eScholarship (California Digital Library). 5(4). 1–27. 45 indexed citations
2.
Shook, Eric, Michael E. Hodgson, Shaowen Wang, et al.. (2016). Parallel cartographic modeling: a methodology for parallelizing spatial data processing. International Journal of Geographical Information Systems. 30(12). 2355–2376. 18 indexed citations
3.
Snyder, Seth W., Philip Carns, Robert Latham, et al.. (2015). Techniques for modeling large-scale HPC I/O workloads. 1–11. 21 indexed citations
4.
Behzad, Babak, Suren Byna, Prabhat, & Marc Snir. (2015). Pattern-driven parallel I/O tuning. 43–48. 23 indexed citations
5.
Behzad, Babak, Suren Byna, Stefan M. Wild, Prabhat, & Marc Snir. (2015). Dynamic Model-Driven Parallel I/O Performance Tuning. 184–193. 10 indexed citations
6.
Behzad, Babak, Hoang-Vu Dang, Farah Hariri, Weizhe Zhang, & Marc Snir. (2014). Automatic generation of I/O kernels for HPC applications. IEEE International Conference on High Performance Computing, Data, and Analytics. 31–36. 7 indexed citations
7.
Behzad, Babak, et al.. (2014). Design of a Multithreaded Barnes-Hut Algorithm for Multicore Clusters. IEEE Transactions on Parallel and Distributed Systems. 26(7). 1861–1873. 4 indexed citations
8.
Behzad, Babak, et al.. (2014). Improving parallel I/O autotuning with performance modeling. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 253–256. 37 indexed citations
9.
Behzad, Babak, Hoang-Vu Dang, Farah Hariri, Weizhe Zhang, & Marc Snir. (2014). Automatic Generation of I/O Kernels for HPC Applications. 2003. 31–36. 5 indexed citations
10.
Behzad, Babak, Joey Huchette, Ruth Aydt, et al.. (2013). A framework for auto-tuning HDF5 applications. 127–128. 8 indexed citations
11.
Behzad, Babak, Joey Huchette, Ruth Aydt, et al.. (2013). A framework for auto-tuning HDF5 applications. 127–128. 6 indexed citations
12.
Behzad, Babak, Joey Huchette, Suren Byna, et al.. (2013). Taming parallel I/O complexity with auto-tuning. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–12. 83 indexed citations
13.
Behzad, Babak, et al.. (2013). A multi-level approach for understanding I/O activity in HPC applications. 30 indexed citations
14.
Behzad, Babak, et al.. (2012). Abstract: Auto-Tuning of Parallel IO Parameters for HDF5 Applications. 1430–1430. 3 indexed citations
15.
Totoni, Ehsan, et al.. (2012). Comparing the power and performance of Intel's SCC to state-of-the-art CPUs and GPUs. 78–87. 29 indexed citations
16.
Behzad, Babak, Anand Padmanabhan, Yong Liu, Yan Liu, & Shaowen Wang. (2011). Integrating CyberGIS gateway with Windows Azure. 26–29. 12 indexed citations
17.
Behzad, Babak, et al.. (2011). Optimizing the Barnes-Hut algorithm in UPC. 1–11. 25 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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