Ryan Kim

557 citations
32 papers · 459 · h-index 11

Impact in

Papers in

Ryan Kim

31 papers receiving 453 citations

Peers

Ryan Kim
Comparison fields: 5 of 17
  • Hardware and Architecture 150
  • Computer Networks and Communications 277
  • Electrical and Electronic Engineering 90
  • Computer Vision and Pattern Recognition 19
  • Information Systems 13
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Sean Lie United States
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Daniel U. Becker United States
Mohammad Hosseinabady United Kingdom
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Ryan Kim relative to Sean Lie United States Sean Lie's profile →
Citations per field
00.5×10×20×28.5×
Sean Lie · 1×
Citations per year

Countries citing papers authored by Ryan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ryan Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryan Kim Line = papers co-authored together Ryan Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 201752
3 201439
4 201636
5 201836
6 201634
7 201532
8 201824
9 201522
10 201716
11 201412
12 201511
13 201410
14 20199
15 20199
16 20219
17 20239
18 20147
19 20146
20 20225

About Ryan Kim

Ryan Kim is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Information Systems and Nuclear Energy and Engineering, having authored 32 papers that have together received 459 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (25 papers), Parallel Computing and Optimization Techniques (5 papers), 3D IC and TSV technologies (4 papers), Cloud Computing and Resource Management (1 paper), Advanced Memory and Neural Computing (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (150 citations), Computer Networks and Communications (277 citations), Electrical and Electronic Engineering (90 citations), Computer Vision and Pattern Recognition (19 citations) and Information Systems (13 citations). Ryan Kim has collaborated with scholars based in United States. Frequent co-authors include Partha Pratim Pande, Janardhan Rao Doppa, Diana Marculescu, Radu Mărculescu, Biresh Kumar Joardar, Xinmin Yu, Mahdi Nikdast, Zhuo Chen, Amlan Ganguly and Behrooz Shirazi. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Computers, ACM Journal on Emerging Technologies in Computing Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Computer.

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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