Svilen Kanev

947 total citations · 1 hit paper
25 papers, 691 citations indexed

About

Svilen Kanev is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Svilen Kanev has authored 25 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hardware and Architecture, 18 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in Svilen Kanev's work include Parallel Computing and Optimization Techniques (22 papers), Advanced Data Storage Technologies (14 papers) and Cloud Computing and Resource Management (11 papers). Svilen Kanev is often cited by papers focused on Parallel Computing and Optimization Techniques (22 papers), Advanced Data Storage Technologies (14 papers) and Cloud Computing and Resource Management (11 papers). Svilen Kanev collaborates with scholars based in United States, United Kingdom and Argentina. Svilen Kanev's co-authors include David Brooks, Gu-Yeon Wei, Kim Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Simone Campanoni, Vijay Janapa Reddi, Michael D. Smith, Wonyoung Kim and Timothy M. Jones and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and IEEE Micro.

In The Last Decade

Svilen Kanev

23 papers receiving 664 citations

Hit Papers

align trajectories

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.

Profiling a warehouse-scale computer

2015 270 citations Svilen Kanev, Kim Hazelwood et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Svilen Kanev United States	13	494	466	312	204	61	25	691
Etienne Le Sueur Australia	5	353 0.7×	305 0.7×	241 0.8×	202 1.0×	64 1.0×	6	542
David Black-Schaffer Sweden	17	529 1.1×	606 1.3×	201 0.6×	142 0.7×	34 0.6×	59	688
Xiaobo Fan United States	5	517 1.0×	547 1.2×	266 0.9×	223 1.1×	18 0.3×	9	666
Ramesh Illikkal United States	19	1.1k 2.2×	787 1.7×	640 2.1×	194 1.0×	59 1.0×	50	1.2k
Dan Connors United States	16	558 1.1×	643 1.4×	142 0.5×	245 1.2×	38 0.6×	35	777
W. Lloyd Bircher United States	8	315 0.6×	393 0.8×	205 0.7×	288 1.4×	20 0.3×	14	536
Harshad Kasture United States	7	662 1.3×	523 1.1×	359 1.2×	136 0.7×	54 0.9×	11	787
Ramon Bertran United States	14	245 0.5×	407 0.9×	151 0.5×	347 1.7×	41 0.7×	30	562
Gilberto Contreras United States	10	415 0.8×	568 1.2×	201 0.6×	301 1.5×	28 0.5×	11	689
Heng Zeng United States	9	716 1.4×	664 1.4×	383 1.2×	408 2.0×	19 0.3×	12	949

Countries citing papers authored by Svilen Kanev

Since Specialization

Citations

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

Fields of papers citing papers by Svilen Kanev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svilen Kanev

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ramesh, S., Svilen Kanev, Gilles Pokam, et al.. (2025). Correct Wrong Path. IEEE Computer Architecture Letters. 24(2). 221–224.

2.

Vaish, Nilay, et al.. (2024). Characterizing a Memory Allocator at Warehouse Scale. 192–206. 2 indexed citations

3.

Karandikar, Sagar, Aniruddha N. Udipi, Jerry Zhao, et al.. (2023). CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems. 1–17. 9 indexed citations

4.

Kanev, Svilen, Tipp Moseley, Jared Stark, et al.. (2023). EMISSARY: Enhanced Miss Awareness Replacement Policy for L2 Instruction Caching. 1–13. 7 indexed citations

5.

Ayers, Grant, David I. August, Svilen Kanev, et al.. (2019). AsmDB. 462–473. 46 indexed citations

6.

Kanev, Svilen, Sam Likun Xi, Gu-Yeon Wei, & David Brooks. (2017). Mallacc. ACM SIGARCH Computer Architecture News. 45(1). 33–45. 1 indexed citations

7.

Campanoni, Simone, et al.. (2017). Automatically accelerating non-numerical programs by architecture-compiler co-design. Communications of the ACM. 60(12). 88–97. 1 indexed citations

8.

Kanev, Svilen, Kim Hazelwood, Parthasarathy Ranganathan, et al.. (2016). Profiling a Warehouse-Scale Computer. IEEE Micro. 36(3). 54–59. 11 indexed citations

9.

Zhan, Xin, Reza Azimi, Svilen Kanev, David Brooks, & Sherief Reda. (2016). CARB: A C-State Power Management Arbiter for Latency-Critical Workloads. IEEE Computer Architecture Letters. 16(1). 6–9. 17 indexed citations

10.

Kanev, Svilen, Kim Hazelwood, Parthasarathy Ranganathan, et al.. (2015). Profiling a warehouse-scale computer. 158–169. 270 indexed citations breakdown →

11.

Kanev, Svilen, Kim Hazelwood, Parthasarathy Ranganathan, et al.. (2015). Profiling a warehouse-scale computer. ACM SIGARCH Computer Architecture News. 43(3S). 158–169. 42 indexed citations

12.

Campanoni, Simone, et al.. (2014). HELIX-RC: An architecture-compiler co-design for automatic parallelization of irregular programs. 217–228. 4 indexed citations

13.

Kanev, Svilen, Kim Hazelwood, Gu-Yeon Wei, & David Brooks. (2014). Tradeoffs between power management and tail latency in warehouse-scale applications. 31–40. 53 indexed citations

14.

Zhang, Xuan, et al.. (2013). Characterizing and evaluating voltage noise in multi-core near-threshold processors. 82–87. 20 indexed citations

15.

Kanev, Svilen, Timothy M. Jones, Gu-Yeon Wei, David Brooks, & Vijay Janapa Reddi. (2013). Measuring Code Optimization Impact on Voltage Noise. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 5 indexed citations

16.

Kanev, Svilen, et al.. (2012). Motivating Software-Driven Current Balancing in Flexible Voltage-Stacked Multicore Processors. 5 indexed citations

17.

Kanev, Svilen, Gu-Yeon Wei, & David Brooks. (2012). XIOSim. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 267–272. 16 indexed citations

18.

Kanev, Svilen & Robert Cohn. (2011). Portable trace compression through instruction interpretation. 1. 107–116. 3 indexed citations

19.

Reddi, Vijay Janapa, Svilen Kanev, Wonyoung Kim, et al.. (2010). Voltage Smoothing: Characterizing and Mitigating Voltage Noise in Production Processors via Software-Guided Thread Scheduling. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 77–88. 68 indexed citations

20.

Reddi, Vijay Janapa, Svilen Kanev, Wonyoung Kim, et al.. (2010). Voltage Noise in Production Processors. IEEE Micro. 31(1). 20–28. 15 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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