David Brooks

18.2k citations
227 papers · 11.9k indexed · 7 hit papers · h-index 52

David Brooks

222 papers receiving 11.4k citations

Hit Papers

Applied Machine Learning ...338200020262008201750010001.5k

Peers

David Brooks
Comparison fields: 5 of 111
  • Hardware and Architecture 7.7k
  • Computer Networks and Communications 5.3k
  • Electrical and Electronic Engineering 6.9k
  • Information Systems 1.6k
  • Computational Mathematics 29
Replace Gu-Yeon Wei with:
Gu-Yeon Wei United States
Doug Burger United States
Anand Raghunathan United States
Mahmut Kandemir United States
Christos Kozyrakis United States
Thomas Moscibroda United States
Francky Catthoor Belgium
Hadi Esmaeilzadeh United States
Thomas F. Wenisch United States
Edwin H.‐M. Sha United States
David Brooks relative to Gu-Yeon Wei United States Gu-Yeon Wei's profile →
Citations per field
00.5×1.5×2.3×
Gu-Yeon Wei · 1×
Citations per year

Countries citing papers authored by David Brooks

Since Specialization
Citations

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

Fields of papers citing papers by David Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20234
3 202311
4 202212
5 20225
6 20225
7 202113
8 20197
9 20192
10 201917
11
A binary-activation, multi-level weight RNN and training algorithm for processing-in-memory inference with eNVM
20191
12 201869
13 201748
14 20178
15 201618
16 200929
17
R 6T SRAM 3T1D DRAM L1 D C C P V
200824
18 20083
19 2007146
20
Accurate and efficient regression modeling for microarchitectural performance and power predictionbreakdown →
2006314

About David Brooks

David Brooks is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Artificial Intelligence, having authored 227 papers that have together received 11.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (128 papers), Low-power high-performance VLSI design (82 papers), Embedded Systems Design Techniques (47 papers), Advanced Memory and Neural Computing (31 papers), Interconnection Networks and Systems (28 papers), Advanced Data Storage Technologies (25 papers), VLSI and FPGA Design Techniques (22 papers) and Semiconductor materials and devices (18 papers). The work is most often cited by research in Hardware and Architecture (7.7k citations), Computer Networks and Communications (5.3k citations), Electrical and Electronic Engineering (6.9k citations), Information Systems (1.6k citations) and Computational Mathematics (29 citations). David Brooks has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Margaret Martonosi, Gu-Yeon Wei, Vivek Tiwari, Vivek Tiwari, Benjamin C. Lee, Wonyoung Kim, Meeta S. Gupta, Brandon Reagen, Yakun Sophia Shao and Pradip Bose. Their work appears in journals such as IEEE Micro, IEEE Journal of Solid-State Circuits, IEEE Computer Architecture Letters, ACM SIGPLAN Notices and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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