Svilen Kanev

947 citations
25 papers · 691 indexed · 1 hit paper · h-index 13
Topics
Parallel Computing and Optimization Techniques (22 papers)Advanced Data Storage Technologies (14 papers)Cloud Computing and Resource Management (11 papers)

In The Last Decade

Svilen Kanev

23 papers receiving 664 citations

Hit Papers

Profiling a warehouse-scale computer2015202620182022201550100150200250

Peers

Svilen Kanev
Comparison fields: 5 of 30
  • Computer Networks and Communications 494
  • Hardware and Architecture 466
  • Information Systems 312
  • Electrical and Electronic Engineering 204
  • Artificial Intelligence 61
Replace Harshad Kasture with:
Harshad Kasture United States
Ramesh Illikkal United States
David Black-Schaffer Sweden
Christian Le United States
W. Lloyd Bircher United States
Ramon Bertran United States
Etienne Le Sueur Australia
Mazen Kharbutli Jordan
Ioan Stefanovici Canada
Svilen Kanev relative to Harshad Kasture United States Harshad Kasture's profile →
Citations per field
00.5×2.9×
Harshad Kasture · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 9
4 7
5 46
6 1
7 1
8 17
9 11
10 42
11
Profiling a warehouse-scale computerbreakdown →
270
12 4
13 53
14 20
15
Measuring Code Optimization Impact on Voltage Noise
5
16 22
17
Motivating Software-Driven Current Balancing in Flexible Voltage-Stacked Multicore Processors
5
18 16
19 3
20 68

About Svilen Kanev

Svilen Kanev is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 25 papers that have together received 691 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Advanced Data Storage Technologies (14 papers) and Cloud Computing and Resource Management (11 papers). The work is most often cited by research in Hardware and Architecture (466 citations), Computer Networks and Communications (494 citations) and Information Systems (312 citations). Svilen Kanev has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include David Brooks, Gu-Yeon Wei, Kim Hazelwood, Tipp Moseley, Parthasarathy Ranganathan, Simone Campanoni, Vijay Janapa Reddi, Michael D. Smith, Wonyoung Kim and David I. August. Their work appears in journals such as Communications of the ACM, ACM SIGPLAN Notices and IEEE Micro.

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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