Keval Vora

1.1k citations
32 papers · 683 · h-index 13

Impact in

Papers in

Keval Vora

31 papers receiving 665 citations

Peers

Keval Vora
Comparison fields: 5 of 29
  • Hardware and Architecture 213
  • Computer Vision and Pattern Recognition 569
  • Information Systems 267
  • Computer Networks and Communications 260
  • Artificial Intelligence 352
Replace Youshan Miao with:
Youshan Miao China
Yangzihao Wang United States
Yuechao Pan United States
Yuduo Wu United States
Wentao Han China
Rupesh Nasre India
Zhijia Zhao United States
Laxman Dhulipala United States
Sreepathi Pai United States
Farzad Khorasani United States
Keval Vora relative to Youshan Miao China Youshan Miao's profile →
Citations per field
00.5×1.7×
Youshan Miao · 1×
Citations per year

Countries citing papers authored by Keval Vora

Since Specialization
Citations

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

Fields of papers citing papers by Keval Vora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Keval Vora, 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 Keval Vora Line = papers co-authored together Keval Vora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014182
2 201793
3 201967
4
Load the edges you need: a generic I/O optimization for disk-based graph processing
201658
5 201446
6 201641
7 202129
8 201620
9 201718
10
LUMOS: Dependency-Driven Disk-based Graph Processing.
201917
11
P3: Distributed Deep Graph Learning at Scale
202116
12 201114
13 201913
14 201512
15 20149
16 20217
17 20237
18 20176
19 20174
20 20174

About Keval Vora

Keval Vora is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 32 papers that have together received 683 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (23 papers), Parallel Computing and Optimization Techniques (13 papers), Cloud Computing and Resource Management (12 papers), Advanced Graph Neural Networks (10 papers), Distributed systems and fault tolerance (7 papers), Advanced Data Storage Technologies (5 papers), Caching and Content Delivery (4 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Hardware and Architecture (213 citations), Computer Vision and Pattern Recognition (569 citations), Information Systems (267 citations), Computer Networks and Communications (260 citations) and Artificial Intelligence (352 citations). Keval Vora has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rajiv Gupta, Guoqing Xu, Laxmi N. Bhuyan, Farzad Khorasani, Iulian Neamtiu, Ziang Hu, Chen Tian, Amit Chavan, Kartik Nayak and Yunhui Zheng. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, ACM SIGOPS Operating Systems Review, ACM Transactions on Architecture and Code Optimization and eScholarship (California Digital Library).

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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