Jeremie Kim

2.1k citations
9 papers · 1.3k · 2 hit papers · h-index 6

Impact in

Papers in

Jeremie Kim

8 papers receiving 1.2k citations

Jeremie Kim's Hit Papers

Ambit 2017 · 294 citations
2940+4+8Years since publication100200300400500

Peers

Jeremie Kim
Comparison fields: 5 of 41
  • Hardware and Architecture 622
  • Signal Processing 245
  • Computer Networks and Communications 441
  • Artificial Intelligence 566
  • Electrical and Electronic Engineering 638
Replace Ross Daly with:
Ross Daly United States
Chris Fallin United States
Jason Oberg United States
R. Thomas United States
Guy Gogniat France
Amro Awad United States
Konrad Lai United States
M. Watheq El‐Kharashi Egypt
Hasan Hassan Switzerland
Jiliang Zhang China
Jeremie Kim relative to Ross Daly United States Ross Daly's profile →
Citations per field
00.5×1.5×
Ross Daly · 1×
Citations per year

Countries citing papers authored by Jeremie Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeremie Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeremie 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 Jeremie Kim Line = papers co-authored together Jeremie Kim links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Flipping bits in memory without accessing them
Hit paper breakdown →
2014558
2
Ambit
Hit paper breakdown →
2017294
3 2014258
4 201865
5 202244
6 201838
7 20214
8 20174
9 20220

About Jeremie Kim

Jeremie Kim is a scholar working on Computer Networks and Communications, Artificial Intelligence, Molecular Biology, Hardware and Architecture and Electrical and Electronic Engineering, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (4 papers), Genomics and Phylogenetic Studies (3 papers), Parallel Computing and Optimization Techniques (3 papers), Algorithms and Data Compression (3 papers), Caching and Content Delivery (2 papers), Security and Verification in Computing (2 papers), Advanced Memory and Neural Computing (2 papers) and Image and Video Quality Assessment (1 paper). The work is most often cited by research in Hardware and Architecture (622 citations), Signal Processing (245 citations), Computer Networks and Communications (441 citations), Artificial Intelligence (566 citations) and Electrical and Electronic Engineering (638 citations). Jeremie Kim has collaborated with scholars based in Switzerland, United States and Thailand. Frequent co-authors include Onur Mutlu, Donghyuk Lee, Chris Wilkerson, Yoongu Kim, Konrad Lai, Chris Fallin, Ross Daly, Hasan Hassan, Michael A. Kozuch and Vivek Seshadri. Their work appears in journals such as arXiv (Cornell University) and ACM SIGARCH Computer Architecture News.

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.

Explore authors with similar magnitude of impact