Jamie Liu

24 total papers · 2.5k total citations
15 papers, 1.8k citations indexed

About

Jamie Liu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Molecular Biology. According to data from OpenAlex, Jamie Liu has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Hardware and Architecture and 5 papers in Molecular Biology. Recurrent topics in Jamie Liu's work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (6 papers) and RNA Interference and Gene Delivery (3 papers). Jamie Liu is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (6 papers) and RNA Interference and Gene Delivery (3 papers). Jamie Liu collaborates with scholars based in United States, Mexico and Canada. Jamie Liu's co-authors include Onur Mutlu, Yoongu Kim, Richard Veras, Vivek Seshadri, Donghyuk Lee, Chris Wilkerson, Iain D. C. Fraser, Melvin I. Simon, Estelle A. Wall and Leah A. Santat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Jamie Liu

15 papers receiving 1.8k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Jamie Liu	970	852	776	409	122	15	1.8k
Jose Lugo-Martinez	457 0.5×	250 0.3×	342 0.4×	895 2.2×	68 0.6×	17	1.9k
Daniel J. Lavery	499 0.5×	95 0.1×	415 0.5×	496 1.2×	57 0.5×	38	1.6k
Ron Y. Pinter	300 0.3×	347 0.4×	215 0.3×	869 2.1×	159 1.3×	71	1.8k
Michael D. Bond	823 0.8×	118 0.1×	875 1.1×	596 1.5×	566 4.6×	88	2.3k
Michael D. Linderman	262 0.3×	146 0.2×	317 0.4×	927 2.3×	157 1.3×	45	2.4k
Peter Markstein	477 0.5×	157 0.2×	275 0.4×	389 1.0×	255 2.1×	22	1.3k
Li-Pin Chang	797 0.8×	114 0.1×	1.6k 2.1×	204 0.5×	213 1.7×	78	2.2k
John Lockwood	1.1k 1.1×	140 0.2×	1.3k 1.7×	375 0.9×	708 5.8×	57	2.2k
Gregory Chen	562 0.6×	1.1k 1.3×	439 0.6×	100 0.2×	149 1.2×	48	1.7k
Leyuan Wang	274 0.3×	179 0.2×	191 0.2×	317 0.8×	364 3.0×	53	1.4k

Countries citing papers authored by Jamie Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jamie Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Liu. A scholar is included among the top collaborators of Jamie Liu 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 Jamie Liu. Jamie Liu 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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