Nilay Vaish

4.9k total citations · 1 hit paper
6 papers, 3.5k citations indexed

About

Nilay Vaish is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Nilay Vaish has authored 6 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Nilay Vaish's work include VLSI and FPGA Design Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Data Storage Technologies (2 papers). Nilay Vaish is often cited by papers focused on VLSI and FPGA Design Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Data Storage Technologies (2 papers). Nilay Vaish collaborates with scholars based in United States and Canada. Nilay Vaish's 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 and has published in prestigious journals such as ACM Transactions on Architecture and Code Optimization and ACM SIGARCH Computer Architecture News.

In The Last Decade

Nilay Vaish

6 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The gem5 simulator

2011 3.5k citations Nathan Binkert, Bradford M. Beckmann et al. ACM SIGARCH Computer Architecture News profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nilay Vaish United States	5	2.8k	2.4k	1.7k	375	228	6	3.5k
Somayeh Sardashti United States	8	2.9k 1.1×	2.5k 1.1×	1.7k 1.0×	432 1.2×	244 1.1×	12	3.7k
Korey Sewell United States	6	2.9k 1.0×	2.5k 1.0×	1.8k 1.1×	374 1.0×	231 1.0×	9	3.6k
Derek R. Hower United States	10	3.2k 1.2×	2.8k 1.2×	1.8k 1.1×	416 1.1×	305 1.3×	20	4.0k
Ken Mai United States	30	2.5k 0.9×	2.5k 1.1×	2.4k 1.5×	408 1.1×	157 0.7×	100	4.3k
Rathijit Sen United States	13	2.9k 1.1×	2.6k 1.1×	1.7k 1.0×	444 1.2×	367 1.6×	36	3.8k
Али Саиди United States	17	3.5k 1.3×	3.2k 1.4×	2.0k 1.2×	430 1.1×	463 2.0×	37	4.5k
Joel Hestness United States	11	3.2k 1.2×	2.9k 1.2×	1.9k 1.2×	520 1.4×	302 1.3×	18	4.3k
Alaa R. Alameldeen United States	28	3.0k 1.1×	2.7k 1.1×	1.6k 1.0×	363 1.0×	360 1.6×	50	3.7k
Arkaprava Basu India	17	3.7k 1.3×	3.2k 1.4×	1.8k 1.1×	485 1.3×	670 2.9×	43	4.5k
Christian Bienia United States	6	3.1k 1.1×	2.9k 1.2×	1.3k 0.8×	259 0.7×	796 3.5×	7	3.8k

Countries citing papers authored by Nilay Vaish

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Nilay Vaish

This figure shows the co-authorship network connecting the top 25 collaborators of Nilay Vaish. A scholar is included among the top collaborators of Nilay Vaish 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 Nilay Vaish. Nilay Vaish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Vaish, Nilay, et al.. (2024). Characterizing a Memory Allocator at Warehouse Scale. 192–206. 2 indexed citations

2.

Vaish, Nilay, Michael C. Ferris, & David A. Wood. (2016). Optimization Models for Three On-Chip Network Problems. ACM Transactions on Architecture and Code Optimization. 13(3). 1–27. 4 indexed citations

3.

Nowatzki, Tony, Michael C. Ferris, Karthikeyan Sankaralingam, et al.. (2014). Optimization and Mathematical Modeling in Computer Architecture. 6 indexed citations

4.

Nowatzki, Tony, Michael C. Ferris, Karthikeyan Sankaralingam, et al.. (2013). Optimization and Mathematical Modeling in Computer Architecture. 8(4). 1–144. 10 indexed citations

5.

Vaish, Nilay, et al.. (2011). Experiences in Co-designing a Packet Classification Algorithm and a Flexible Hardware Platform. 189–199. 5 indexed citations

6.

Binkert, Nathan, Bradford M. Beckmann, Steven K. Reinhardt, et al.. (2011). The gem5 simulator. ACM SIGARCH Computer Architecture News. 39(2). 1–7. 3470 indexed citations breakdown →

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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