Luís Ceze

14.6k citations
190 papers · 8.9k · 6 hit papers · h-index 48

Impact in

Papers in

Luís Ceze

187 papers receiving 8.6k citations

Luís Ceze's Hit Papers

Molecular digital data storage using DNA 2019 · 360 citations
3600+5+10Years since publication100200300400500

Peers

Luís Ceze
Comparison fields: 5 of 126
  • Hardware and Architecture 4.8k
  • Computer Networks and Communications 4.0k
  • Software 500
  • Computational Mathematics 56
  • Electrical and Electronic Engineering 2.8k
Replace Krste Asanović with:
Krste Asanović United States
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Luís Ceze relative to Krste Asanović United States Krste Asanović's profile →
Citations per field
00.5×4.4×
Krste Asanović · 1×
Citations per year

Countries citing papers authored by Luís Ceze

Since Specialization
Citations

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

Fields of papers citing papers by Luís Ceze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TVM: an automated end-to-end optimizing compiler for deep learning
Hit paper breakdown →
2018529
2
Neural Acceleration for General-Purpose Approximate Programs
Hit paper breakdown →
2012484
3
EnerJ
Hit paper breakdown →
2011429
4
Molecular digital data storage using DNA
Hit paper breakdown →
2019360
5
EnerJ
Hit paper breakdown →
2011333
6
Architecture support for disciplined approximate programming
Hit paper breakdown →
2012305
7 2009238
8 2007195
9 2016189
10 2006185
11 2006176
12 2013175
13 2006151
14 2010146
15 2008128
16 2010128
17 2014120
18 2008111
19 2019106
20 2019101

About Luís Ceze

Luís Ceze is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology and Artificial Intelligence, having authored 190 papers that have together received 8.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (113 papers), Distributed systems and fault tolerance (46 papers), Advanced Data Storage Technologies (34 papers), DNA and Biological Computing (29 papers), Advanced biosensing and bioanalysis techniques (26 papers), Low-power high-performance VLSI design (20 papers), Advanced Memory and Neural Computing (19 papers) and Cloud Computing and Resource Management (16 papers). The work is most often cited by research in Hardware and Architecture (4.8k citations), Computer Networks and Communications (4.0k citations), Software (500 citations), Computational Mathematics (56 citations) and Electrical and Electronic Engineering (2.8k citations). Luís Ceze has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Karin Strauß, Adrian Sampson, Josep Torrellas, Dan Grossman, Hadi Esmaeilzadeh, Brandon Lucia, Doug Burger, James Tuck, Joseph Devietti and Pablo Montesinos. Their work appears in journals such as ACM SIGPLAN Notices, Nature Communications, IEEE Micro, Communications of the ACM and ACS Synthetic Biology.

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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