Minsoo Rhu

97 total papers · 3.5k total citations
48 papers, 1.9k citations indexed

About

Minsoo Rhu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Minsoo Rhu has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hardware and Architecture, 18 papers in Computer Networks and Communications and 16 papers in Artificial Intelligence. Recurrent topics in Minsoo Rhu's work include Parallel Computing and Optimization Techniques (20 papers), Advanced Memory and Neural Computing (10 papers) and Advanced Data Storage Technologies (10 papers). Minsoo Rhu is often cited by papers focused on Parallel Computing and Optimization Techniques (20 papers), Advanced Memory and Neural Computing (10 papers) and Advanced Data Storage Technologies (10 papers). Minsoo Rhu collaborates with scholars based in South Korea, United States and Canada. Minsoo Rhu's co-authors include Mattan Erez, Youngeun Kwon, William J. Dally, Antonio Puglielli, Brucek Khailany, Angshuman Parashar, Rangharajan Venkatesan, Anurag Mukkara, Joel Emer and Stephen W. Keckler and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Micro and IEEE Computer Architecture Letters.

In The Last Decade

Minsoo Rhu

45 papers receiving 1.8k citations

Hit Papers

SCNN 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Minsoo Rhu 775 758 740 643 632 48 1.9k
Xiaobing Feng 562 0.7× 778 1.0× 724 1.0× 476 0.7× 512 0.8× 100 1.7k
Ninghui Sun 662 0.9× 803 1.1× 710 1.0× 526 0.8× 485 0.8× 63 1.7k
Eriko Nurvitadhi 693 0.9× 678 0.9× 689 0.9× 479 0.7× 493 0.8× 75 1.7k
Yakun Sophia Shao 1.2k 1.5× 577 0.8× 1.0k 1.4× 699 1.1× 388 0.6× 48 2.1k
Ningyi Xu 573 0.7× 1.1k 1.4× 848 1.1× 605 0.9× 592 0.9× 54 2.2k
Jaewoong Sim 796 1.0× 523 0.7× 626 0.8× 646 1.0× 378 0.6× 33 1.5k
Tayler Hetherington 766 1.0× 703 0.9× 708 1.0× 579 0.9× 421 0.7× 13 1.5k
Xuehai Qian 885 1.1× 1.0k 1.4× 1.4k 1.9× 987 1.5× 1.1k 1.7× 96 2.9k
Brandon Reagen 701 0.9× 494 0.7× 840 1.1× 462 0.7× 525 0.8× 36 1.6k
Chen Zhang 653 0.8× 1.6k 2.2× 1.4k 1.9× 446 0.7× 893 1.4× 56 2.8k

Countries citing papers authored by Minsoo Rhu

Since Specialization
Citations

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

Fields of papers citing papers by Minsoo Rhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minsoo Rhu

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

All Works

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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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