Muthian Sivathanu

921 total citations
24 papers, 631 citations indexed

About

Muthian Sivathanu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Muthian Sivathanu has authored 24 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 10 papers in Hardware and Architecture and 8 papers in Information Systems. Recurrent topics in Muthian Sivathanu's work include Advanced Data Storage Technologies (17 papers), Parallel Computing and Optimization Techniques (10 papers) and Caching and Content Delivery (9 papers). Muthian Sivathanu is often cited by papers focused on Advanced Data Storage Technologies (17 papers), Parallel Computing and Optimization Techniques (10 papers) and Caching and Content Delivery (9 papers). Muthian Sivathanu collaborates with scholars based in United States, India and United Kingdom. Muthian Sivathanu's co-authors include Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Lakshmi N. Bairavasundaram, Vijayan Prabhakaran, Ramachandran Ramjee, Nipun Kwatra, Shubham Chaudhary, Lidong Zhou, Somesh Jha and Florentina I. Popovici and has published in prestigious journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Muthian Sivathanu

23 papers receiving 609 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muthian Sivathanu United States 13 518 218 159 138 103 24 631
Sameer G. Kulkarni United States 15 499 1.0× 264 1.2× 209 1.3× 99 0.7× 68 0.7× 45 667
Jithin Jose United States 13 665 1.3× 492 2.3× 233 1.5× 50 0.4× 82 0.8× 23 731
João Leitão Portugal 12 396 0.8× 169 0.8× 36 0.2× 102 0.7× 156 1.5× 49 557
Jenq‐Kuen Lee Taiwan 9 198 0.4× 55 0.3× 223 1.4× 55 0.4× 71 0.7× 76 348
Guoyang Chen United States 10 279 0.5× 107 0.5× 324 2.0× 71 0.5× 85 0.8× 22 432
Steffen Zeuch Germany 11 309 0.6× 172 0.8× 81 0.5× 115 0.8× 77 0.7× 34 393
Farzad Khorasani United States 9 198 0.4× 126 0.6× 204 1.3× 163 1.2× 275 2.7× 11 412
Shiding Lin China 11 541 1.0× 178 0.8× 223 1.4× 67 0.5× 93 0.9× 18 651
Abdullah Gharaibeh Canada 10 258 0.5× 177 0.8× 139 0.9× 104 0.8× 123 1.2× 16 374
Bernhard Egger South Korea 16 545 1.1× 245 1.1× 439 2.8× 65 0.5× 60 0.6× 51 709

Countries citing papers authored by Muthian Sivathanu

Since Specialization
Citations

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

Fields of papers citing papers by Muthian Sivathanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muthian Sivathanu

This figure shows the co-authorship network connecting the top 25 collaborators of Muthian Sivathanu. A scholar is included among the top collaborators of Muthian Sivathanu 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 Muthian Sivathanu. Muthian Sivathanu 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
1.
Krishnan, Sanjeev, et al.. (2024). Just-In-Time Checkpointing: Low Cost Error Recovery from Deep Learning Training Failures. 1110–1125. 6 indexed citations
2.
Sivathanu, Muthian, et al.. (2022). Varuna. 472–487. 43 indexed citations
3.
Sivathanu, Muthian, et al.. (2020). Quiver: An Informed Storage Cache for Deep Learning. File and Storage Technologies. 283–296. 24 indexed citations
4.
Ramjee, Ramachandran, et al.. (2020). Unsupervised Clustering using Pseudo-semi-supervised Learning. International Conference on Learning Representations. 12 indexed citations
5.
Chaudhary, Shubham, et al.. (2020). Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning. 1–16. 87 indexed citations
6.
Sivathanu, Muthian, et al.. (2019). INSTalytics: Cluster Filesystem Co-design for Big-data Analytics.. File and Storage Technologies. 235–248. 1 indexed citations
7.
Kwatra, Nipun, et al.. (2019). AutoLR: A Method for Automatic Tuning of Learning Rate. 1 indexed citations
8.
Sivathanu, Muthian, et al.. (2019). Astra. 909–923. 28 indexed citations
9.
Sivathanu, Muthian, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, & Somesh Jha. (2005). A logic of file systems. File and Storage Technologies. 1–1. 17 indexed citations
10.
Sivathanu, Muthian, Lakshmi N. Bairavasundaram, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2005). Database-aware semantically-smart storage. File and Storage Technologies. 18–18. 24 indexed citations
11.
Sivathanu, Muthian, Vijayan Prabhakaran, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2005). Improving storage system availability with D-GRAID. ACM Transactions on Storage. 1(2). 133–170. 75 indexed citations
12.
Sivathanu, Muthian, Lakshmi N. Bairavasundaram, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2004). Life or death at block-level. Operating Systems Design and Implementation. 26–26. 47 indexed citations
13.
Sivathanu, Muthian, Vijayan Prabhakaran, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2004). Improving Storage System Availability with D-GRAID (Awarded Best Student Paper!).. 78(2). 15–30. 2 indexed citations
14.
Sivathanu, Muthian, Vijayan Prabhakaran, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2004). Awarded Best Student Paper! -- Improving Storage System Availability with D-GRAID. File and Storage Technologies. 15–30. 30 indexed citations
15.
Sivathanu, Muthian, Vijayan Prabhakaran, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2004). Improving storage system availability with D-GRAID. Minds at UW (University of Wisconsin). 2–2. 12 indexed citations
16.
Bairavasundaram, Lakshmi N., Muthian Sivathanu, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2004). X-RAY. ACM SIGARCH Computer Architecture News. 32(2). 176–176. 43 indexed citations
17.
Bairavasundaram, Lakshmi N., Muthian Sivathanu, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2004). X-RAY: a non-invasive exclusive caching mechanism for RAIDs. 176–187. 8 indexed citations
18.
Sivathanu, Muthian, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2003). Semantically-Smart Disk Systems. Minds at UW (University of Wisconsin). 247–247. 124 indexed citations
19.
Sivathanu, Muthian, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2002). Evolving RPC for active storage. ACM SIGPLAN Notices. 37(10). 264–276. 2 indexed citations
20.
Sivathanu, Muthian, Andrea C. Arpaci-Dusseau, & Remzi H. Arpaci-Dusseau. (2002). Evolving RPC for active storage. ACM SIGARCH Computer Architecture News. 30(5). 264–276. 2 indexed citations

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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