Jun Rao

2.8k citations
25 papers · 1.4k · h-index 17

Impact in

Papers in

Jun Rao

25 papers receiving 1.3k citations

Peers

Jun Rao
Comparison fields: 5 of 58
  • Computer Networks and Communications 1.2k
  • Signal Processing 509
  • Hardware and Architecture 207
  • Information Systems 639
  • Artificial Intelligence 438
Replace Marcin Żukowski with:
Marcin Żukowski Netherlands
S. Seshadri United States
Mike Stonebraker United States
Vladislav Shkapenyuk United States
Badrish Chandramouli United States
Flavio Junqueira Spain
Sailesh Krishnamurthy United States
Asterios Katsifodimos Netherlands
Vinayak Borkar United States
Henrique Andrade United States
Jun Rao relative to Marcin Żukowski Netherlands Marcin Żukowski's profile →
Citations per field
00.5×1.5×
Marcin Żukowski · 1×
Citations per year

Countries citing papers authored by Jun Rao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010268
2 2000238
3 1998158
4 2000135
5 2002120
6 201192
7 201586
8
Building LinkedIn's Real-time Activity Data Pipeline.
201261
9 200858
10 200646
11
Liquid: Unifying Nearline and Offline Big Data Integration
201528
12 202125
13 200424
14 200121
15 199820
16 200219
17 200317
18
Making DB2Products Self-Managing: Strategies and Experiences.
20069
19 20097
20 20064

About Jun Rao

Jun Rao is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Hardware and Architecture, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (18 papers), Data Management and Algorithms (11 papers), Distributed systems and fault tolerance (8 papers), Advanced Data Storage Technologies (6 papers), Cloud Computing and Resource Management (4 papers), Parallel Computing and Optimization Techniques (4 papers), Semantic Web and Ontologies (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Signal Processing (509 citations), Hardware and Architecture (207 citations), Information Systems (639 citations) and Artificial Intelligence (438 citations). Jun Rao has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Kenneth A. Ross, Eugene J. Shekita, Guy M. Lohman, Vuk Ercegovac, Yuanyuan Tian, Jignesh M. Patel, Spyros Blanas, Nimrod Megiddo, Sandeep Tata and Chun Zhang. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, Information Systems, IEEE Data(base) Engineering Bulletin and Conference on Innovative Data Systems Research.

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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