Justin Meza

2.1k citations
29 papers · 1.3k indexed · h-index 17
Topics
Cloud Computing and Resource Management (15 papers)Parallel Computing and Optimization Techniques (12 papers)Advanced Data Storage Technologies (11 papers)

In The Last Decade

Justin Meza

29 papers receiving 1.3k citations

Peers

Justin Meza
Comparison fields: 5 of 58
  • Computer Networks and Communications 1.1k
  • Hardware and Architecture 650
  • Information Systems 507
  • Electrical and Electronic Engineering 460
  • Artificial Intelligence 168
Replace Jong Kim with:
Jong Kim South Korea
Yungang Bao China
R. Raghuraman India
Carla Ellis United States
KyoungSoo Park South Korea
Xiaoning Ding United States
Ada Gavrilovska United States
Justine Sherry United States
Alexandre Ferreira United States
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Citations per field
00.5×4.4×
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Citations per year

Countries citing papers authored by Justin Meza

Since Specialization
Citations

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

Fields of papers citing papers by Justin Meza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Meza

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Meza. A scholar is included among the top collaborators of Justin Meza 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 Justin Meza. Justin Meza 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
#WorkIndexed citations
1 1
2 15
3 4
4 44
5 22
6 143
7 135
8 166
9 49
10 33
11 5
12 15
13
DynRBLA: A High-Performance and Energy-Efficient Row Buffer Locality-Aware Caching Policy for Hybrid Memories
6
14
Row Buffer Locality-Aware Data Placement in Hybrid Memories
9
15
Green server design: beyond operational energy to sustainability
19
16 12
17 16
18 66
19 4
20 64

About Justin Meza

Justin Meza is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (15 papers), Parallel Computing and Optimization Techniques (12 papers) and Advanced Data Storage Technologies (11 papers). The work is most often cited by research in Hardware and Architecture (650 citations), Computer Networks and Communications (1.1k citations) and Information Systems (507 citations). Justin Meza has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Onur Mutlu, Parthasarathy Ranganathan, HanBin Yoon, Qiang Wu, Qiang Wu, Kaushik Veeraraghavan, Sanjeev Kumar, Mehul A. Shah, Jichuan Chang and Rachata Ausavarungnirun. Their work appears in journals such as Computer, Proceedings of the VLDB Endowment and ACM SIGPLAN Notices.

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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