Vijay Vasudevan

42.1k citations
34 papers · 3.4k indexed · 5 hit papers · h-index 17

Vijay Vasudevan

30 papers receiving 3.3k citations

Hit Papers

Large Scale Interactive ...30020092026201420204008001.2k

Peers

Vijay Vasudevan
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 1.2k
  • Computer Networks and Communications 1.2k
  • Information Systems 925
  • Hardware and Architecture 252
  • Artificial Intelligence 1.1k
Replace Klaus D. McDonald-Maier with:
Klaus D. McDonald-Maier United Kingdom
Guoliang Xing United States
Wen‐Zhan Song United States
Mu Li China
Huanlai Xing China
Naima Kaabouch United States
Rajat Monga United States
Tomi Westerlund Finland
Jinjun Xiong United States
Mahmood Fathy Iran
Vijay Vasudevan relative to Klaus D. McDonald-Maier United Kingdom Klaus D. McDonald-Maier's profile →
Citations per field
00.5×3.4×
Klaus D. McDonald-Maier · 1×
Citations per year

Countries citing papers authored by Vijay Vasudevan

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Vasudevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20224
3 202220
4 202116
5 202147
6 202133
7
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Datasetbreakdown →
2021300
8
AutoAugment: Learning Augmentation Strategies From Databreakdown →
20191464
9
Understanding and Simplifying One-Shot Architecture Searchbreakdown →
2018234
10 20180
11 20180
12 20182
13
Neural optimizer search with reinforcement learning
201737
14
Florida mammographer disability training vs needs.
20121
15 201136
16 201038
17 20102
18 20101
19 20091
20
Measurement and analysis of TCP throughput collapse in cluster-based storage systems
2008203

About Vijay Vasudevan

Vijay Vasudevan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 34 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (13 papers), Cloud Computing and Resource Management (8 papers), Network Traffic and Congestion Control (6 papers), Parallel Computing and Optimization Techniques (5 papers), Distributed and Parallel Computing Systems (4 papers), Interconnection Networks and Systems (4 papers), Autism Spectrum Disorder Research (4 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Computer Networks and Communications (1.2k citations) and Information Systems (925 citations). Vijay Vasudevan has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Barret Zoph, Quoc V. Le, Ekin D. Cubuk, David G. Andersen, Amar Phanishayee, Michael Kaminsky, Garth A. Gibson, Elie Krevat, Gregory R. Ganger and Jason Franklin. Their work appears in journals such as Communications of the ACM, Journal of Autism and Developmental Disorders and Frontiers in Psychology.

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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