Ripal Nathuji
- Computer Networks and Communications top 0.5%
- Information Systems top 0.5%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Karsten SchwanAman KansalAlireza GhaffarkhahCanturk IsciEugene GorbatovHimanshu RajP. EnglandYogendra Joshi
- Topics
- Cloud Computing and Resource Management (15 papers)Parallel Computing and Optimization Techniques (11 papers)Caching and Content Delivery (4 papers)
- Journals
- ACM SIGOPS Operating Systems ReviewACM SIGMETRICS Performance Evaluation ReviewCluster Computing
- Partner nations
- United States
In The Last Decade
Ripal Nathuji
22 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 1.4k
- Information Systems 1.4k
- Hardware and Architecture 384
- Electrical and Electronic Engineering 168
- Artificial Intelligence 156
Countries citing papers authored by Ripal Nathuji
This map shows the geographic impact of Ripal Nathuji'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 Ripal Nathuji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ripal Nathuji more than expected).
Fields of papers citing papers by Ripal Nathuji
This network shows the impact of papers produced by Ripal Nathuji. 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 Ripal Nathuji. The network helps show where Ripal Nathuji may publish in the future.
Co-authorship network of co-authors of Ripal Nathuji
This figure shows the co-authorship network connecting the top 25 collaborators of Ripal Nathuji. A scholar is included among the top collaborators of Ripal Nathuji 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 Ripal Nathuji. Ripal Nathuji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 20 | |
| 3 | Analyzing performance asymmetric multicore processors for latency sensitive datacenter applications | 13 |
| 4 | 16 | |
| 5 | Q-cloudsbreakdown → | 436 |
| 6 | 49 | |
| 7 | CoolIT: coordinating facility and it management for efficient datacenters | 14 |
| 8 | 39 | |
| 9 | 17 | |
| 10 | 22 | |
| 11 | 126 | |
| 12 | 159 | |
| 13 | 8 | |
| 14 | High-Performance Hypervisor Architectures: Virtualization in HPC Systems | 57 |
| 15 | 1 | |
| 16 | VirtualPowerbreakdown → | 452 |
| 17 | 24 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 32 |
About Ripal Nathuji
Ripal Nathuji is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (15 papers), Parallel Computing and Optimization Techniques (11 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Information Systems (1.4k citations) and Hardware and Architecture (384 citations). Ripal Nathuji has collaborated with scholars based in United States. Frequent co-authors include Karsten Schwan, Aman Kansal, Alireza Ghaffarkhah, Canturk Isci, Eugene Gorbatov, Himanshu Raj, P. England, Yogendra Joshi, Vishal Gupta and Wei Zhao. Their work appears in journals such as ACM SIGOPS Operating Systems Review, ACM SIGMETRICS Performance Evaluation Review and Cluster Computing.
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.