Ravi Iyer

3.8k citations
90 papers · 2.7k indexed · h-index 29
Topics
Parallel Computing and Optimization Techniques (57 papers)Advanced Data Storage Technologies (33 papers)Cloud Computing and Resource Management (30 papers)

In The Last Decade

Ravi Iyer

88 papers receiving 2.6k citations

Peers

Ravi Iyer
Comparison fields: 5 of 99
  • Computer Networks and Communications 1.9k
  • Hardware and Architecture 1.6k
  • Information Systems 916
  • Electrical and Electronic Engineering 658
  • Molecular Biology 222
Replace Alvin R. Lebeck with:
Alvin R. Lebeck United States
Michael Ferdman United States
Vivek Seshadri United States
David Wentzlaff United States
Reetuparna Das United States
Jihong Kim South Korea
Satish Narayanasamy United States
Dionisios Pnevmatikatos Greece
Fabrizio Ferrandi Italy
Jaswinder Singh United States
Ravi Iyer relative to Alvin R. Lebeck United States Alvin R. Lebeck's profile →
Citations per field
00.5×3.9×
Alvin R. Lebeck · 1×
Citations per year

Countries citing papers authored by Ravi Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Iyer

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 2
5 62
6
Proceedings of the 38th annual international symposium on Computer architecture
3
7 3
8 130
9 2
10 23
11 31
12 2
13 45
14 13
15 16
16 49
17 14
18 2
19 30
20 13

About Ravi Iyer

Ravi Iyer is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 90 papers that have together received 2.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (57 papers), Advanced Data Storage Technologies (33 papers) and Cloud Computing and Resource Management (30 papers). The work is most often cited by research in Hardware and Architecture (1.6k citations), Computer Networks and Communications (1.9k citations) and Information Systems (916 citations). Ravi Iyer has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Don Newell, Ramesh Illikkal, Li Zhao, Srihari Makineni, Reetuparna Das, Omesh Tickoo, Xiaowei Wang, Lisa Hsu, Steve Reinhardt and Donald Newell. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

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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