Rakesh Krishnaiyer
- Computer Networks and Communications top 5%
- Hardware and Architecture top 2%
- Information Systems top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Ian FosterAlok ChoudharyHideki SaitoMilind GirkarJatin ChhuganiChangkyu KimNadathur SatishMikhail Smelyanskiy
- Topics
- Parallel Computing and Optimization Techniques (17 papers)Distributed and Parallel Computing Systems (12 papers)Advanced Data Storage Technologies (8 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Rakesh Krishnaiyer
16 papers receiving 357 citations
Peers
Comparison fields: 5 of 28
- Computer Networks and Communications 306
- Hardware and Architecture 302
- Information Systems 56
- Artificial Intelligence 48
- Electrical and Electronic Engineering 37
Countries citing papers authored by Rakesh Krishnaiyer
This map shows the geographic impact of Rakesh Krishnaiyer'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 Rakesh Krishnaiyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Krishnaiyer more than expected).
Fields of papers citing papers by Rakesh Krishnaiyer
This network shows the impact of papers produced by Rakesh Krishnaiyer. 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 Rakesh Krishnaiyer. The network helps show where Rakesh Krishnaiyer may publish in the future.
Co-authorship network of co-authors of Rakesh Krishnaiyer
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Krishnaiyer. A scholar is included among the top collaborators of Rakesh Krishnaiyer 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 Rakesh Krishnaiyer. Rakesh Krishnaiyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 29 | |
| 4 | Closing the Ninja Performance Gap through Traditional Programming and Compiler Technology | 13 |
| 5 | 60 | |
| 6 | 30 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 18 | |
| 12 | 37 | |
| 13 | An Overview of the Intel® IA-64 Compiler | 23 |
| 14 | 60 | |
| 15 | 15 | |
| 16 | 25 | |
| 17 | PASSION: Parallel And Scalable Software for Input-Output | 48 |
About Rakesh Krishnaiyer
Rakesh Krishnaiyer is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Science Applications, having authored 17 papers that have together received 380 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Distributed and Parallel Computing Systems (12 papers) and Advanced Data Storage Technologies (8 papers). The work is most often cited by research in Hardware and Architecture (302 citations), Computer Networks and Communications (306 citations) and Computer Graphics and Computer-Aided Design (9 citations). Rakesh Krishnaiyer has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Ian Foster, Alok Choudhary, Hideki Saito, Milind Girkar, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Mikhail Smelyanskiy, Pradeep Dubey and Rajesh Bordawekar. Their work appears in journals such as Communications of the ACM, Journal of Parallel and Distributed Computing and IEEE Micro.
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.