Cansu Kaynak

1.5k total citations · 1 hit paper
11 papers, 1.2k citations indexed

About

Cansu Kaynak is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Cansu Kaynak has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Hardware and Architecture and 9 papers in Information Systems. Recurrent topics in Cansu Kaynak's work include Parallel Computing and Optimization Techniques (10 papers), Cloud Computing and Resource Management (9 papers) and Advanced Data Storage Technologies (9 papers). Cansu Kaynak is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Cloud Computing and Resource Management (9 papers) and Advanced Data Storage Technologies (9 papers). Cansu Kaynak collaborates with scholars based in United States, Switzerland and United Kingdom. Cansu Kaynak's co-authors include Babak Falsafi, Djordje Jevdjic, Michael Ferdman, Anastasia Ailamaki, Almutaz Adileh, Adrian Popescu, Mohammad Alisafaee, Onur Kocberber, Stavros Volos and Gabriel H. Loh and has published in prestigious journals such as ACM Transactions on Computer Systems, ACM SIGPLAN Notices and IEEE Micro.

In The Last Decade

Cansu Kaynak

11 papers receiving 1.1k citations

Hit Papers

Clearing the clouds 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cansu Kaynak United States 11 1.0k 792 705 139 87 11 1.2k
Almutaz Adileh Belgium 11 955 0.9× 690 0.9× 666 0.9× 125 0.9× 81 0.9× 18 1.1k
Onur Kocberber United States 12 1.1k 1.1× 803 1.0× 727 1.0× 153 1.1× 117 1.3× 16 1.2k
Mohammad Alisafaee Switzerland 8 790 0.8× 559 0.7× 589 0.8× 100 0.7× 75 0.9× 12 901
Stavros Volos United States 15 1.2k 1.1× 914 1.2× 746 1.1× 223 1.6× 158 1.8× 25 1.4k
Yuehai Xu United States 9 1.1k 1.0× 382 0.5× 668 0.9× 57 0.4× 79 0.9× 11 1.1k
Heiner Litz United States 18 569 0.5× 439 0.6× 278 0.4× 60 0.4× 126 1.4× 58 711
Vignesh T. Ravi United States 14 471 0.5× 437 0.6× 328 0.5× 57 0.4× 66 0.8× 28 621
Vasily Tarasov United States 17 765 0.7× 201 0.3× 528 0.7× 26 0.2× 119 1.4× 40 836
Karan Gupta United States 11 619 0.6× 166 0.2× 445 0.6× 43 0.3× 64 0.7× 30 700

Countries citing papers authored by Cansu Kaynak

Since Specialization
Citations

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

Fields of papers citing papers by Cansu Kaynak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cansu Kaynak

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

All Works

11 of 11 papers shown
1.
Kaynak, Cansu, Boris Grot, & Babak Falsafi. (2015). Confluence. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 166–177. 36 indexed citations
2.
Jevdjic, Djordje, Gabriel H. Loh, Cansu Kaynak, & Babak Falsafi. (2014). Unison Cache: A Scalable and Effective Die-Stacked DRAM Cache. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 25–37. 138 indexed citations
3.
Ferdman, Michael, Almutaz Adileh, Onur Kocberber, et al.. (2014). A Case for Specialized Processors for Scale-Out Workloads. IEEE Micro. 34(3). 31–42. 16 indexed citations
4.
Kaynak, Cansu, Boris Grot, & Babak Falsafi. (2013). SHIFT. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 272–283. 41 indexed citations
5.
Tözün, Pınar, Ippokratis Pandis, Cansu Kaynak, Djordje Jevdjic, & Anastasia Ailamaki. (2013). From A to E. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 17–28. 35 indexed citations
6.
Ferdman, Michael, Almutaz Adileh, Onur Kocberber, et al.. (2012). Quantifying the Mismatch between Emerging Scale-Out Applications and Modern Processors. ACM Transactions on Computer Systems. 30(4). 1–24. 21 indexed citations
7.
Ferdman, Michael, Almutaz Adileh, Onur Kocberber, et al.. (2012). Clearing the clouds. 37–48. 619 indexed citations breakdown →
8.
Ferdman, Michael, Almutaz Adileh, Onur Kocberber, et al.. (2012). Clearing the clouds. ACM SIGPLAN Notices. 47(4). 37–48. 116 indexed citations
9.
Ferdman, Michael, Almutaz Adileh, Onur Kocberber, et al.. (2012). Clearing the clouds. ACM SIGARCH Computer Architecture News. 40(1). 37–48. 39 indexed citations
10.
Ferdman, Michael, Almutaz Adileh, Onur Kocberber, et al.. (2011). Clearing the Clouds: A Study of Emerging Workloads on Modern Hardware. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 19 indexed citations
11.
Ferdman, Michael, Cansu Kaynak, & Babak Falsafi. (2011). Proactive instruction fetch. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 152–162. 75 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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