Vinay Setty

991 citations
36 papers · 504 · h-index 11

Impact in

Papers in

Vinay Setty

33 papers receiving 463 citations

Peers

Vinay Setty
Comparison fields: 5 of 59
  • Information Systems 279
  • Computer Networks and Communications 278
  • Signal Processing 83
  • Artificial Intelligence 170
  • Computer Vision and Pattern Recognition 92
Replace Marina Drosou with:
Marina Drosou Greece
Abdul Quamar United States
Tiziano Fagni Italy
Florence Sèdes France
Emaad Manzoor United States
Jaroslaw Szlichta Canada
Neng Zhang China
David Zage United States
Sean Kandel United States
Vinay Setty relative to Marina Drosou Greece Marina Drosou's profile →
Citations per field
00.5×3.1×
Marina Drosou · 1×
Citations per year

Countries citing papers authored by Vinay Setty

Since Specialization
Citations

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

Fields of papers citing papers by Vinay Setty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010239
2 202341
3 201937
4 201324
5 201419
6 201614
7 201813
8 201911
9 202211
10 201410
11 202010
12 201710
13 20107
14
A Comprehensive Comparison of Unsupervised Network Representation Learning Methods.
20196
15
The Hidden Pub/Sub of Spotify
20136
16 20166
17 20205
18 20175
19 20185
20 20164

About Vinay Setty

Vinay Setty is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Sociology and Political Science and Signal Processing, having authored 36 papers that have together received 504 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Peer-to-Peer Network Technologies (8 papers), Advanced Graph Neural Networks (8 papers), Caching and Content Delivery (7 papers), Natural Language Processing Techniques (6 papers), Data Management and Algorithms (4 papers), Cloud Computing and Resource Management (4 papers) and Misinformation and Its Impacts (4 papers). The work is most often cited by research in Information Systems (279 citations), Computer Networks and Communications (278 citations), Signal Processing (83 citations), Artificial Intelligence (170 citations) and Computer Vision and Pattern Recognition (92 citations). Vinay Setty has collaborated with scholars based in Norway, Germany and Netherlands. Frequent co-authors include Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Yağíz Kargín, Jörg Schad, Alekh Jindal, Avishek Anand, Megha Khosla, Roman Vitenberg, Gunnar Kreitz and Maarten van Steen. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Data & Knowledge Engineering, Lecture notes in computer science and Max Planck Institute for Plasma Physics.

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.

Explore authors with similar magnitude of impact