Jeremie S. Kim

2.1k total citations
26 papers, 933 citations indexed

About

Jeremie S. Kim is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jeremie S. Kim has authored 26 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hardware and Architecture, 12 papers in Electrical and Electronic Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Jeremie S. Kim's work include Parallel Computing and Optimization Techniques (9 papers), Genomics and Phylogenetic Studies (9 papers) and Advanced Memory and Neural Computing (7 papers). Jeremie S. Kim is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Genomics and Phylogenetic Studies (9 papers) and Advanced Memory and Neural Computing (7 papers). Jeremie S. Kim collaborates with scholars based in Switzerland, United States and Türkiye. Jeremie S. Kim's co-authors include Onur Mutlu, Minesh Patel, Hasan Hassan, Saugata Ghose, Damla Senol Cali, Can Alkan, Lois Orosa, Mohammed Alser, Nika Mansouri Ghiasi and Can Fırtına and has published in prestigious journals such as Bioinformatics, IEEE Access and Briefings in Bioinformatics.

In The Last Decade

Jeremie S. Kim

24 papers receiving 858 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremie S. Kim Switzerland 15 419 409 291 264 238 26 933
Rob Johnson United States 18 199 0.5× 257 0.6× 525 1.8× 274 1.0× 126 0.5× 66 990
Ali Akoglu United States 12 211 0.5× 181 0.4× 220 0.8× 116 0.4× 61 0.3× 95 609
Vlad-Mihai Sima Netherlands 10 371 0.9× 161 0.4× 213 0.7× 168 0.6× 183 0.8× 30 691
Mohammed Alser Switzerland 15 186 0.4× 139 0.3× 208 0.7× 251 1.0× 359 1.5× 41 691
Eui-Young Chung South Korea 17 645 1.5× 551 1.3× 650 2.2× 64 0.2× 52 0.2× 95 1.2k
Oğuz Ergin Türkiye 19 727 1.7× 697 1.7× 551 1.9× 175 0.7× 109 0.5× 81 1.2k
Hasan Hassan Switzerland 24 925 2.2× 963 2.4× 730 2.5× 369 1.4× 148 0.6× 35 1.6k
Wing-Kai Hon Taiwan 18 229 0.5× 156 0.4× 228 0.8× 519 2.0× 266 1.1× 91 854
Doruk Bozdağ United States 14 155 0.4× 280 0.7× 743 2.6× 66 0.3× 161 0.7× 24 1.0k
Peng Wei United States 12 309 0.7× 137 0.3× 223 0.8× 128 0.5× 94 0.4× 19 497

Countries citing papers authored by Jeremie S. Kim

Since Specialization
Citations

This map shows the geographic impact of Jeremie S. 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 S. 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 S. Kim more than expected).

Fields of papers citing papers by Jeremie S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremie S. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremie S. Kim. A scholar is included among the top collaborators of Jeremie S. Kim 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 Jeremie S. Kim. Jeremie S. Kim 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
1.
Orosa, Lois, Ulrich Rührmair, A. Giray Yağlıkçı, et al.. (2024). SpyHammer: Understanding and Exploiting RowHammer Under Fine-Grained Temperature Variations. IEEE Access. 12. 80986–81003. 2 indexed citations
2.
Kim, Jeremie S., Can Fırtına, Damla Senol Cali, et al.. (2024). AirLift: A Fast and Comprehensive Technique for Remapping Alignments between Reference Genomes. PubMed. PP. 1–9.
3.
Fırtına, Can, Jisung Park, Mohammed Alser, et al.. (2023). BLEND: a fast, memory-efficient and accurate mechanism to find fuzzy seed matches in genome analysis. NAR Genomics and Bioinformatics. 5(1). lqad004–lqad004. 20 indexed citations
4.
Olgun, Ataberk, Lois Orosa, A. Giray Yağlıkçı, et al.. (2022). DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators. 1141–1155. 9 indexed citations
5.
Kim, Jeremie S., et al.. (2022). FastRemap: a tool for quickly remapping reads between genome assemblies. Bioinformatics. 38(19). 4633–4635. 3 indexed citations
6.
Alser, Mohammed, et al.. (2022). COVIDHunter: COVID-19 Pandemic Wave Prediction and Mitigation via Seasonality Aware Modeling. Frontiers in Public Health. 10. 877621–877621. 2 indexed citations
7.
Volos, Haris, Davide B. Bartolini, Jeremie S. Kim, et al.. (2022). AgileWatts: An Energy-Efficient CPU Core Idle-State Architecture for Latency-Sensitive Server Applications. 835–850. 12 indexed citations
8.
9.
Falcão, Gabriel, Juan Gómez-Luna, Mohammed Alser, et al.. (2022). pLUTo: Enabling Massively Parallel Computation In DRAM via Lookup Tables. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
10.
Cali, Damla Senol, Can Fırtına, Lavanya Subramanian, et al.. (2021). GenASM: a high-performance, low-power approximate string matching acceleration framework for genome sequence analysis. Bilkent University Institutional Repository (Bilkent University). 65 indexed citations
11.
Fırtına, Can, Jeremie S. Kim, Mohammed Alser, et al.. (2020). Apollo: a sequencing-technology-independent, scalable and accurate assembly polishing algorithm. Bioinformatics. 36(12). 3669–3679. 30 indexed citations
12.
Wang, Yaohua, Lois Orosa, Yang Guo, et al.. (2020). FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching. 313–328. 42 indexed citations
13.
Patel, Minesh, Jeremie S. Kim, Hasan Hassan, & Onur Mutlu. (2019). Understanding and Modeling On-Die Error Correction in Modern DRAM: An Experimental Study Using Real Devices. 13–25. 35 indexed citations
14.
Orosa, Lois, Yaohua Wang, Mohammad Sadrosadati, et al.. (2019). Dataplant: In-DRAM Security Mechanisms for Low-Cost Devices.. arXiv (Cornell University).
15.
Kim, Jeremie S., Minesh Patel, Hasan Hassan, Lois Orosa, & Onur Mutlu. (2019). D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput. 582–595. 52 indexed citations
16.
Hassan, Hasan, Minesh Patel, Jeremie S. Kim, et al.. (2019). CROW. 129–142. 48 indexed citations
17.
Wang, Yaohua, Arash Tavakkol, Lois Orosa, et al.. (2018). Reducing DRAM Latency via Charge-Level-Aware Look-Ahead Partial Restoration. 298–311. 32 indexed citations
18.
Kim, Jeremie S., Minesh Patel, Hasan Hassan, & Onur Mutlu. (2018). The DRAM Latency PUF: Quickly Evaluating Physical Unclonable Functions by Exploiting the Latency-Reliability Tradeoff in Modern Commodity DRAM Devices. 194–207. 80 indexed citations
19.
Kim, Jeremie S., Damla Senol Cali, Hongyi Xin, et al.. (2018). GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies. Repository for Publications and Research Data (ETH Zurich). 96 indexed citations
20.
Patel, Minesh, Jeremie S. Kim, & Onur Cezmi Mutlu. (2017). The Reach Profiler (REAPER). ACM SIGARCH Computer Architecture News. 45(2). 255–268. 29 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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