Dushyanth Narayanan

4.7k citations
53 papers · 3.5k indexed · 4 hit papers · h-index 22

Dushyanth Narayanan

51 papers receiving 3.2k citations

Hit Papers

FaRM: fast remote memory3701997202620062016100200300400500

Peers

Dushyanth Narayanan
Comparison fields: 5 of 69
  • Hardware and Architecture 1.0k
  • Computer Networks and Communications 3.2k
  • Information Systems 1.6k
  • Computer Vision and Pattern Recognition 363
  • Signal Processing 142
Replace Fred Douglis with:
Fred Douglis United States
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Citations per field
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Citations per year

Countries citing papers authored by Dushyanth Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Dushyanth Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20180
4
RDMA Reads: To Use or Not to Use?
201719
5
Filo: consolidated consensus as a cloud service
201610
6 20164
7
Rethinking the network stack for rack-scale computers
201411
8
FaRM: fast remote memorybreakdown →
2014370
9
Rhea: automatic filtering for unstructured cloud storage
201317
10
Whole-system Persistence with Non-volatile Memories
201215
11 201214
12 200855
13
Migrating enterprise storage to SSDs: analysis of tradeoffs
200821
14
Snitch: interactive decision trees for troubleshooting misconfigurations
200720
15
Challenges inbuilding a DBMS Resource Advisor
200675
16 200613
17 200644
18 200547
19
Magpie: online modelling and performance-aware systems
2003132
20 200362

About Dushyanth Narayanan

Dushyanth Narayanan is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Software and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (23 papers), Cloud Computing and Resource Management (20 papers), Distributed systems and fault tolerance (14 papers), Parallel Computing and Optimization Techniques (12 papers), Caching and Content Delivery (11 papers), Software System Performance and Reliability (10 papers), IoT and Edge/Fog Computing (6 papers) and Advanced Software Engineering Methodologies (6 papers). The work is most often cited by research in Hardware and Architecture (1.0k citations), Computer Networks and Communications (3.2k citations), Information Systems (1.6k citations), Computer Vision and Pattern Recognition (363 citations) and Signal Processing (142 citations). Dushyanth Narayanan has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Austin Donnelly, Antony Rowstron, Orion Hodson, Mahadev Satyanarayanan, Eno Thereska, Jason Flinn, Aleksandar Dragojević, Miguel Castro, Brian Noble and K. Walker. Their work appears in journals such as The Knowledge Engineering Review, ACM Transactions on Storage, ACM SIGPLAN Notices, Wireless Networks and The VLDB Journal.

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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