Mahadev Satyanarayanan

31.3k citations
265 papers · 20.9k indexed · 12 hit papers · h-index 69

Mahadev Satyanarayanan

251 papers receiving 18.9k citations

Hit Papers

Mega-Ne...202198820262000201350010001.5k2.0k2.5k

Peers

Mahadev Satyanarayanan
Comparison fields: 5 of 179
  • Computer Networks and Communications 16.1k
  • Hardware and Architecture 2.2k
  • Information Systems 6.5k
  • Computer Vision and Pattern Recognition 5.3k
  • Computer Science Applications 579
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Citations per year

Countries citing papers authored by Mahadev Satyanarayanan

Since Specialization
Citations

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

Fields of papers citing papers by Mahadev Satyanarayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20234
5 20232
6
Edge Computing
20178
7 20118
8 20105
9
Diamond: a storage architecture for early discard in interactive search
200482
10
Integrating portable and distributed storage
200431
11 2003182
12
Opportunistic Use of Content Addressable Storage for Distributed File Systems
200382
13 200320
14
Pervasive Computing: From the Editor - A Catalyst for Mobile and Ubiquitous Computing.
20022
15 199935
16
Porting the coda file system to windows
19992
17
Operation-based update propagation in a mobile file system
199927
18
Mobile Computing Systems and Applications, 1994 Workshop On
19951
19 199314
20
ANDREW: Carnegie Mellon's Computing System (Invited Paper).
19861

About Mahadev Satyanarayanan

Mahadev Satyanarayanan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 265 papers that have together received 20.9k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (93 papers), Distributed systems and fault tolerance (73 papers), IoT and Edge/Fog Computing (51 papers), Caching and Content Delivery (46 papers), Context-Aware Activity Recognition Systems (44 papers), Cloud Computing and Resource Management (42 papers), Peer-to-Peer Network Technologies (34 papers) and Parallel Computing and Optimization Techniques (32 papers). The work is most often cited by research in Computer Networks and Communications (16.1k citations), Hardware and Architecture (2.2k citations) and Information Systems (6.5k citations). Mahadev Satyanarayanan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Nigel Davies, Jason Flinn, Paramvir Bahl, Rafaela Cáceres, James J. Kistler, Brandon Amos, Padmanabhan Pillai, Brian Noble, Kiryong Ha and John H. Howard. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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