Steve Scott

2.1k total citations · 2 hit papers
24 papers, 1.5k citations indexed

About

Steve Scott is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Steve Scott has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 10 papers in Hardware and Architecture and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Steve Scott's work include Interconnection Networks and Systems (11 papers), Parallel Computing and Optimization Techniques (9 papers) and Software-Defined Networks and 5G (5 papers). Steve Scott is often cited by papers focused on Interconnection Networks and Systems (11 papers), Parallel Computing and Optimization Techniques (9 papers) and Software-Defined Networks and 5G (5 papers). Steve Scott collaborates with scholars based in United States, United Kingdom and Switzerland. Steve Scott's co-authors include Dennis Abts, John Kim, W.J. Dally, Alistair D. Culf, Bart Kruijt, J. Grace, Antônio Donato Nobre, Yadvinder Malhi, William J. Dally and E. Anderson and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Communications of the ACM and Journal of Construction Engineering and Management.

In The Last Decade

Steve Scott

23 papers receiving 1.4k citations

Hit Papers

Technology-Driven, Highly-Scalable Dragonfly Topology 2008 2026 2014 2020 2008 2008 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Technology-Driven, Highly-Scalable Dragonfly Topology
    2008 366 citations John Kim, W.J. Dally et al. profile →
  2. Technology-Driven, Highly-Scalable Dragonfly Topology
    2008 346 citations John Kim, W.J. Dally et al. ACM SIGARCH Computer Architecture News profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Scott United States 13 947 545 457 296 173 24 1.5k
Mingyu Chen China 21 840 0.9× 684 1.3× 290 0.6× 34 0.1× 250 1.4× 140 1.4k
Krzysztof Pawlikowski New Zealand 16 731 0.8× 66 0.1× 377 0.8× 36 0.1× 63 0.4× 104 1.2k
Shuang Song United States 15 115 0.1× 81 0.1× 85 0.2× 64 0.2× 115 0.7× 50 1.2k
Shanshan Song China 15 558 0.6× 131 0.2× 56 0.1× 92 0.3× 357 2.1× 41 1.1k
Renato Figueiredo United States 22 1.8k 1.9× 460 0.8× 178 0.4× 48 0.2× 1.2k 6.8× 145 2.2k
Hans-Werner Braun United States 16 932 1.0× 89 0.2× 258 0.6× 64 0.2× 68 0.4× 34 1.3k
Andrew Whitaker United States 19 856 0.9× 283 0.5× 39 0.1× 124 0.4× 583 3.4× 42 1.4k
Xinyu Wang China 18 279 0.3× 26 0.0× 69 0.2× 20 0.1× 317 1.8× 67 943
David George Australia 10 516 0.5× 435 0.8× 88 0.2× 51 0.2× 54 0.3× 31 769
Ana Cortés Spain 16 138 0.1× 59 0.1× 24 0.1× 397 1.3× 54 0.3× 84 767

Countries citing papers authored by Steve Scott

Since Specialization
Citations

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

Fields of papers citing papers by Steve Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Scott. A scholar is included among the top collaborators of Steve Scott 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 Steve Scott. Steve Scott 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.
Hoefler, Torsten, Daniele De Sensi, Salvatore Di Girolamo, et al.. (2024). HammingMesh: A Network Topology for Large-Scale Deep Learning. Communications of the ACM. 67(12). 97–105.
2.
3.
Blasch, Erik, et al.. (2017). Physics-based and human-derived information fusion for analysts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10207. 1020706–1020706. 2 indexed citations
4.
Scott, Steve, et al.. (2015). Public facing government services a business ecosystem perspective. 6105. 798–801. 1 indexed citations
5.
Kim, Gwangsun, et al.. (2015). Overcoming far-end congestion in large-scale networks. 415–427. 44 indexed citations
6.
Scott, Steve. (2011). Optical Interconnects in Future HPC Systems. OWH5–OWH5. 6 indexed citations
7.
Kim, John, William J. Dally, Steve Scott, & Dennis Abts. (2009). Cost-Efficient Dragonfly Topology for Large-Scale Systems. 2. OTuI2–OTuI2. 8 indexed citations
8.
Scott, Steve, et al.. (2009). The Impact of Optics on HPC System Interconnects. 4. 143–147. 3 indexed citations
9.
Kim, John, William J. Dally, Steve Scott, & Dennis Abts. (2009). Cost-Efficient Dragonfly Topology for Large-Scale Systems. IEEE Micro. 29(1). 33–40. 49 indexed citations
10.
Kim, John, W.J. Dally, Steve Scott, & Dennis Abts. (2008). Technology-Driven, Highly-Scalable Dragonfly Topology. ACM SIGARCH Computer Architecture News. 36(3). 77–88. 346 indexed citations breakdown →
11.
Kim, John, W.J. Dally, Steve Scott, & Dennis Abts. (2008). Technology-Driven, Highly-Scalable Dragonfly Topology. 77–88. 366 indexed citations breakdown →
12.
Abts, Dennis, et al.. (2007). The Cray BlackWidow. 1–12. 46 indexed citations
13.
Scott, Steve. (2006). Challenges and opportunities in the post single-thread-processor era. 63–63. 1 indexed citations
14.
Sterling, Thomas, Peter M. Kogge, William J. Dally, et al.. (2006). Multi-core issues---Multi-Core for HPC. 73–73. 4 indexed citations
15.
Scott, Steve & R.A. Harris. (2004). United Kingdom Construction Claims: Views of Professionals. Journal of Construction Engineering and Management. 130(5). 734–741. 24 indexed citations
16.
Abts, Dennis, David J. Lilja, & Steve Scott. (2000). Toward Complexity-Effective Verification: A Case Study of the Cray SV2 Cache Coherence Protocol. 8 indexed citations
17.
Scott, Steve, et al.. (1999). A survey of the site records kept by construction supervisors. Construction Management and Economics. 17(3). 375–382. 16 indexed citations
18.
Malhi, Yadvinder, Antônio Donato Nobre, J. Grace, et al.. (1998). Carbon dioxide transfer over a Central Amazonian rain forest. Journal of Geophysical Research Atmospheres. 103(D24). 31593–31612. 331 indexed citations
19.
Scott, Steve & Richard W. Harris. (1998). A methodology for generating feedback in the construction industry. The Learning Organization. 5(3). 121–127. 23 indexed citations
20.
Anderson, E., et al.. (1997). Performance of the CRAY T3E multiprocessor. 1–17. 103 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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