Shaizeen Aga

543 citations
17 papers · 393 · 1 hit paper · h-index 9

Impact in

Papers in

Shaizeen Aga

16 papers receiving 381 citations

Shaizeen Aga's Hit Papers

Compute Caches 2017 · 239 citations
2390+3+6Years since publication50100150200

Peers

Shaizeen Aga
Comparison fields: 5 of 30
  • Hardware and Architecture 205
  • Computer Networks and Communications 161
  • Electrical and Electronic Engineering 229
  • Computational Mathematics 2
  • Artificial Intelligence 106
Replace Geraldo F. Oliveira with:
Geraldo F. Oliveira Switzerland
Mark Gottscho United States
Shang Li United States
Sam Likun Xi United States
Rajat Agarwal United States
Vikram K. Narayana United States
Hyunsung Shin South Korea
Weikang Qiao United States
Vito Giovanni Castellana United States
Lois Orosa Switzerland
Shaizeen Aga relative to Geraldo F. Oliveira Switzerland Geraldo F. Oliveira's profile →
Citations per field
00.5×6.5×
Geraldo F. Oliveira · 1×
Citations per year

Countries citing papers authored by Shaizeen Aga

Since Specialization
Citations

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

Fields of papers citing papers by Shaizeen Aga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Shaizeen Aga, 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 Shaizeen Aga Line = papers co-authored together Shaizeen Aga links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Compute Caches
Hit paper breakdown →
2017239
2 201745
3 202221
4 201918
5 201512
6 202312
7 201811
8 201710
9 20198
10 20246
11 20213
12 20242
13 20242
14 20152
15 20241
16 20151
17 20250

About Shaizeen Aga

Shaizeen Aga is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Information Systems, having authored 17 papers that have together received 393 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (6 papers), Advanced Memory and Neural Computing (3 papers), Advanced Neural Network Applications (3 papers), Security and Verification in Computing (3 papers), Distributed systems and fault tolerance (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Hardware and Architecture (205 citations), Computer Networks and Communications (161 citations), Electrical and Electronic Engineering (229 citations), Computational Mathematics (2 citations) and Artificial Intelligence (106 citations). Shaizeen Aga has collaborated with scholars based in United States and Canada. Frequent co-authors include Satish Narayanasamy, Supreet Jeloka, David Blaauw, Arun Subramaniyan, Reetuparna Das, Nuwan Jayasena, Matthew D. Sinclair, Mike Ignatowski, Abhayendra Singh and Tiansheng Zhang. Their work appears in journals such as ACM Transactions on Architecture and Code Optimization, ACM SIGARCH Computer Architecture News and Deep Blue (University of Michigan).

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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