Nilay Vaish
Impact in
- Hardware and Architecture top 0.1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computer Networks and Communications top 0.5%
- Interconnection Networks and Systems
- Advanced Data Storage Technologies
Papers in
-
- Parallel Computing and Optimization Techniques 2
- Network Packet Processing and Optimization 1
-
- Advanced Optimization Algorithms Research 1
- Co-authors
- David A. WoodJoel HestnessNathan BinkertDerek R. HowerSomayeh SardashtiRathijit SenTushar KrishnaKorey Sewell
- Journals
- ACM Transactions on Architecture and Code Optimization (1 paper)ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Nilay Vaish
6 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Hardware and Architecture 2.8k
- Computer Networks and Communications 2.4k
- Electrical and Electronic Engineering 1.7k
- Artificial Intelligence 375
- Information Systems 228
Countries citing papers authored by Nilay Vaish
This map shows the geographic impact of Nilay Vaish'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 Nilay Vaish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilay Vaish more than expected).
Fields of papers citing papers by Nilay Vaish
This network shows the impact of papers produced by Nilay Vaish. 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 Nilay Vaish. The network helps show where Nilay Vaish may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Nilay Vaish, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2016 | 4 | |
| 3 | 2014 | 6 | |
| 4 | 2013 | 10 | |
| 5 | 2011 | 5 | |
| 6 | The gem5 simulator Hit paper breakdown → | 2011 | 3470 |
About Nilay Vaish
Nilay Vaish is a scholar working on Hardware and Architecture, Numerical Analysis, Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 6 papers that have together received 3.5k indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers), IoT and Edge/Fog Computing (1 paper), Network Packet Processing and Optimization (1 paper), Interconnection Networks and Systems (1 paper), Distributed and Parallel Computing Systems (1 paper) and Advanced Optimization Algorithms Research (1 paper). The work is most often cited by research in Hardware and Architecture (2.8k citations), Computer Networks and Communications (2.4k citations), Electrical and Electronic Engineering (1.7k citations), Artificial Intelligence (375 citations) and Information Systems (228 citations). Nilay Vaish has collaborated with scholars based in United States and Canada. Frequent co-authors include David A. Wood, Joel Hestness, Nathan Binkert, Derek R. Hower, Somayeh Sardashti, Rathijit Sen, Tushar Krishna, Korey Sewell, Muhammad Shoaib and Steven K. Reinhardt. Their work appears in journals such as ACM Transactions on Architecture and Code Optimization and ACM SIGARCH Computer Architecture News.
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.