Soner Önder

473 total citations
20 papers, 219 citations indexed

About

Soner Önder is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Soner Önder has authored 20 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hardware and Architecture, 12 papers in Computer Networks and Communications and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Soner Önder's work include Parallel Computing and Optimization Techniques (20 papers), Advanced Data Storage Technologies (8 papers) and Radiation Effects in Electronics (6 papers). Soner Önder is often cited by papers focused on Parallel Computing and Optimization Techniques (20 papers), Advanced Data Storage Technologies (8 papers) and Radiation Effects in Electronics (6 papers). Soner Önder collaborates with scholars based in United States. Soner Önder's co-authors include Rajiv Gupta, Zhenlin Wang, Steve Carr, Peng Zhou, Jun Xu, Michael Stokes, David Whalley and Nilufer Onder and has published in prestigious journals such as ACM Transactions on Architecture and Code Optimization, International Symposium on Microarchitecture and Digital Commons - Michigan Tech (Michigan Technological University).

In The Last Decade

Soner Önder

18 papers receiving 204 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soner Önder United States 8 208 159 63 35 15 20 219
Ching-Tsun Chou United States 6 183 0.9× 166 1.0× 58 0.9× 31 0.9× 24 1.6× 9 206
Jason F. Cantin United States 8 298 1.4× 270 1.7× 108 1.7× 35 1.0× 22 1.5× 19 339
Manoj Plakal United States 10 294 1.4× 289 1.8× 116 1.8× 14 0.4× 20 1.3× 15 331
Daniel Gracia Pérez France 8 130 0.6× 94 0.6× 25 0.4× 13 0.4× 11 0.7× 15 151
Ashok Sudarsanam United States 6 203 1.0× 101 0.6× 33 0.5× 12 0.3× 30 2.0× 11 213
Greg Grohoski United States 7 227 1.1× 182 1.1× 101 1.6× 14 0.4× 11 0.7× 15 272
Brian A. Fields United States 7 383 1.8× 299 1.9× 139 2.2× 48 1.4× 9 0.6× 10 400
Arpit Joshi United Kingdom 7 218 1.0× 231 1.5× 85 1.3× 41 1.2× 11 0.7× 12 265
Perry H. Wang United States 8 338 1.6× 289 1.8× 59 0.9× 59 1.7× 9 0.6× 13 355
Jackson Mayo United States 7 96 0.5× 158 1.0× 34 0.5× 59 1.7× 21 1.4× 14 180

Countries citing papers authored by Soner Önder

Since Specialization
Citations

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

Fields of papers citing papers by Soner Önder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soner Önder

This figure shows the co-authorship network connecting the top 25 collaborators of Soner Önder. A scholar is included among the top collaborators of Soner Önder 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 Soner Önder. Soner Önder 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.
Stokes, Michael, David Whalley, & Soner Önder. (2021). Decreasing the Miss Rate and Eliminating the Performance Penalty of a Data Filter Cache. ACM Transactions on Architecture and Code Optimization. 18(3). 1–22.
2.
Stokes, Michael, et al.. (2019). Improving Energy Efficiency by Memoizing Data Access Information. Digital Commons - Michigan Tech (Michigan Technological University). 1–6. 1 indexed citations
3.
Stokes, Michael, et al.. (2018). Decoupling address generation from loads and stores to improve data access energy efficiency. Digital Commons - Michigan Tech (Michigan Technological University). 65–75. 2 indexed citations
4.
Önder, Soner, et al.. (2018). Dynamic Memory Dependence Predication. Digital Commons - Michigan Tech (Michigan Technological University). 235–246. 2 indexed citations
5.
Önder, Soner, et al.. (2015). Mower. Digital Commons - Michigan Tech (Michigan Technological University). 285–294.
6.
Önder, Soner, et al.. (2015). LaZy superscalar. Digital Commons - Michigan Tech (Michigan Technological University). 260–271. 3 indexed citations
7.
Onder, Nilufer, et al.. (2014). Verifying micro-architecture simulators using event traces. Digital Commons - Michigan Tech (Michigan Technological University). 323–332. 2 indexed citations
8.
Zhou, Peng & Soner Önder. (2008). Improving single-thread performance with fine-grain state maintenance. Digital Commons - Michigan Tech (Michigan Technological University). 251–260. 1 indexed citations
9.
Carr, Steve, et al.. (2006). Feedback-directed memory disambiguation through store distance analysis. Digital Commons - Michigan Tech (Michigan Technological University). 278–287. 5 indexed citations
10.
Önder, Soner, et al.. (2005). Instruction based memory distance analysis and its application to optimization. Digital Commons - Michigan Tech (Michigan Technological University). 27–37. 30 indexed citations
11.
Zhou, Peng, Soner Önder, & Steve Carr. (2005). Fast branch misprediction recovery in out-of-order superscalar processors. Digital Commons - Michigan Tech (Michigan Technological University). 41–50. 9 indexed citations
12.
Carr, Steve, et al.. (2004). Reuse-distance-based miss-rate prediction on a per instruction basis. Digital Commons - Michigan Tech (Michigan Technological University). 60–60. 38 indexed citations
13.
Önder, Soner & Rajiv Gupta. (2003). Dynamic memory disambiguation in the presence of out-of-order store issuing. Digital Commons - Michigan Tech (Michigan Technological University). 170–176. 7 indexed citations
14.
Önder, Soner. (2003). Cost effective memory dependence prediction using speculation levels and color sets. Digital Commons - Michigan Tech (Michigan Technological University). 232–241. 4 indexed citations
15.
Önder, Soner. (2002). Cost effective memory dependence prediction using speculation levels and color sets. International Conference on Parallel Architectures and Compilation Techniques. 232–241. 5 indexed citations
16.
Önder, Soner & Rajiv Gupta. (2002). Automatic generation of microarchitecture simulators. 80–89. 51 indexed citations
17.
Önder, Soner & Rajiv Gupta. (2002). Superscalar execution with dynamic data forwarding. 130–135. 11 indexed citations
18.
Önder, Soner & Rajiv Gupta. (2001). Load and store reuse using register file contents. Digital Commons - Michigan Tech (Michigan Technological University). 289–302. 23 indexed citations
19.
Önder, Soner & Rajiv Gupta. (1999). Dynamic memory disambiguation in the presence of out-of-order store issuing. International Symposium on Microarchitecture. 170–176. 20 indexed citations
20.
Önder, Soner, Jun Xu, & Rajiv Gupta. (1999). Caching and predicting branch sequences for improved fetch effectiveness. International Conference on Parallel Architectures and Compilation Techniques. 294–302. 5 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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