Kiran‐Kumar Muniswamy‐Reddy

1.6k total citations
22 papers, 1.0k citations indexed

About

Kiran‐Kumar Muniswamy‐Reddy is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Kiran‐Kumar Muniswamy‐Reddy has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 14 papers in Information Systems and Management and 8 papers in Information Systems. Recurrent topics in Kiran‐Kumar Muniswamy‐Reddy's work include Advanced Data Storage Technologies (16 papers), Scientific Computing and Data Management (14 papers) and Distributed and Parallel Computing Systems (12 papers). Kiran‐Kumar Muniswamy‐Reddy is often cited by papers focused on Advanced Data Storage Technologies (16 papers), Scientific Computing and Data Management (14 papers) and Distributed and Parallel Computing Systems (12 papers). Kiran‐Kumar Muniswamy‐Reddy collaborates with scholars based in United States, China and Japan. Kiran‐Kumar Muniswamy‐Reddy's co-authors include Margo Seltzer, David A. Holland, Uri Braun, Peter Macko, Diana MacLean, Charles P. Wright, Erez Zadok, Bor‐Rong Chen, Darrell D. E. Long and Dan Feng and has published in prestigious journals such as ACM SIGOPS Operating Systems Review, Concurrency and Computation Practice and Experience and ACM Transactions on Storage.

In The Last Decade

Kiran‐Kumar Muniswamy‐Reddy

22 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiran‐Kumar Muniswamy‐Reddy United States 15 768 599 589 157 135 22 1.0k
Artem Chebotko United States 14 521 0.7× 400 0.7× 451 0.8× 246 1.6× 80 0.6× 36 721
Esther Pacitti France 15 615 0.8× 198 0.3× 336 0.6× 116 0.7× 136 1.0× 75 773
Muhammad Ali Gulzar United States 12 316 0.4× 203 0.3× 288 0.5× 211 1.3× 41 0.3× 43 576
Madhusudhan Govindaraju United States 16 618 0.8× 124 0.2× 511 0.9× 101 0.6× 38 0.3× 62 741
Jörg Schad Germany 6 773 1.0× 91 0.2× 761 1.3× 85 0.5× 91 0.7× 10 868
Boris Glavic United States 15 402 0.5× 416 0.7× 350 0.6× 298 1.9× 116 0.9× 79 780
Konstantinos Karanasos United States 15 599 0.8× 74 0.1× 495 0.8× 165 1.1× 133 1.0× 33 716
Andrey Gubarev United States 6 557 0.7× 81 0.1× 407 0.7× 108 0.7× 142 1.1× 6 672
Kate Keahey United States 19 1.3k 1.7× 415 0.7× 1.1k 1.9× 96 0.6× 27 0.2× 69 1.5k
Kangkook Jee United States 13 626 0.8× 98 0.2× 414 0.7× 410 2.6× 569 4.2× 25 905

Countries citing papers authored by Kiran‐Kumar Muniswamy‐Reddy

Since Specialization
Citations

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

Fields of papers citing papers by Kiran‐Kumar Muniswamy‐Reddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kiran‐Kumar Muniswamy‐Reddy. 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 Kiran‐Kumar Muniswamy‐Reddy. The network helps show where Kiran‐Kumar Muniswamy‐Reddy may publish in the future.

Co-authorship network of co-authors of Kiran‐Kumar Muniswamy‐Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of Kiran‐Kumar Muniswamy‐Reddy. A scholar is included among the top collaborators of Kiran‐Kumar Muniswamy‐Reddy 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 Kiran‐Kumar Muniswamy‐Reddy. Kiran‐Kumar Muniswamy‐Reddy 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.
Xie, Yulai, Kiran‐Kumar Muniswamy‐Reddy, Dan Feng, Yan Li, & Darrell D. E. Long. (2013). Evaluation of a Hybrid Approach for Efficient Provenance Storage. ACM Transactions on Storage. 9(4). 1–29. 30 indexed citations
2.
Basu, Sumit, John Dunagan, Kevin Duh, & Kiran‐Kumar Muniswamy‐Reddy. (2012). BLR-D. ACM SIGOPS Operating Systems Review. 45(3). 31–38. 3 indexed citations
3.
Xie, Yulai, et al.. (2012). A hybrid approach for efficient provenance storage. 1752–1756. 33 indexed citations
4.
Xie, Yulai, Kiran‐Kumar Muniswamy‐Reddy, Darrell D. E. Long, et al.. (2011). Compressing Provenance Graphs.. eScholarship (California Digital Library). 22 indexed citations
5.
Basu, Sumit, John Dunagan, Kevin Duh, & Kiran‐Kumar Muniswamy‐Reddy. (2011). BLR-D. 1–8. 2 indexed citations
6.
Muniswamy‐Reddy, Kiran‐Kumar, Peter Macko, & Margo Seltzer. (2010). Provenance for the cloud. File and Storage Technologies. 197–210. 100 indexed citations
7.
Seltzer, Margo & Kiran‐Kumar Muniswamy‐Reddy. (2010). Foundations for provenance-aware systems. 10 indexed citations
8.
Muniswamy‐Reddy, Kiran‐Kumar, Uri Braun, David A. Holland, et al.. (2009). Layering in provenance systems. USENIX Annual Technical Conference. 10–10. 104 indexed citations
9.
Muniswamy‐Reddy, Kiran‐Kumar, Peter Macko, & Margo Seltzer. (2009). Making a cloud provenance-aware. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 12. 33 indexed citations
10.
Muniswamy‐Reddy, Kiran‐Kumar & David A. Holland. (2009). Causality-based versioning. ACM Transactions on Storage. 5(4). 1–28. 19 indexed citations
11.
Muniswamy‐Reddy, Kiran‐Kumar, Uri Braun, David A. Holland, et al.. (2008). Layering in Provenance-Aware Storage Systems. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 8 indexed citations
12.
Holland, David A., Uri Braun, Diana MacLean, Kiran‐Kumar Muniswamy‐Reddy, & Margo Seltzer. (2008). Choosing a Data Model and Query Language for Provenance. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 43 indexed citations
13.
Holland, David A., Margo Seltzer, Uri Braun, & Kiran‐Kumar Muniswamy‐Reddy. (2007). PASSing the provenance challenge. Concurrency and Computation Practice and Experience. 20(5). 531–540. 29 indexed citations
14.
Aguilera, Marcos K., Kimberly Keeton, Arif Merchant, Kiran‐Kumar Muniswamy‐Reddy, & Mustafa Uysal. (2007). Improving Recoverability in Multi-tier Storage Systems. 677–686. 10 indexed citations
15.
Muniswamy‐Reddy, Kiran‐Kumar, David A. Holland, Uri Braun, & Margo Seltzer. (2006). Provenance-aware storage systems. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 4–4. 354 indexed citations
16.
Chen, Bor‐Rong, Kiran‐Kumar Muniswamy‐Reddy, & Matt Welsh. (2006). Ad-hoc multicast routing on resource-limited sensor nodes. 87–94. 54 indexed citations
17.
Muniswamy‐Reddy, Kiran‐Kumar. (2006). Deciding How to Store Provenance. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 3 indexed citations
18.
Muniswamy‐Reddy, Kiran‐Kumar, et al.. (2004). A versatile and user-oriented versioning file system. File and Storage Technologies. 115–128. 75 indexed citations
19.
Zadok, Erez, et al.. (2004). Reducing Storage Management Costs via Informed User-Based Policies. 193–197. 17 indexed citations
20.
Muniswamy‐Reddy, Kiran‐Kumar. (2003). VERSIONFS A Versatile and User-Oriented Versioning File System. 5 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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