Kiran‐Kumar Muniswamy‐Reddy

1.6k citations
22 papers · 1.0k indexed · h-index 15
Topics
Advanced Data Storage Technologies (16 papers)Scientific Computing and Data Management (14 papers)Distributed and Parallel Computing Systems (12 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Kiran‐Kumar Muniswamy‐Reddy

22 papers receiving 946 citations

Peers

Kiran‐Kumar Muniswamy‐Reddy
Comparison fields: 5 of 48
  • Computer Networks and Communications 768
  • Information Systems and Management 599
  • Information Systems 589
  • Artificial Intelligence 157
  • Signal Processing 135
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Citations per field
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Citations per year

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
#WorkIndexed citations
1 30
2 3
3 33
4
Compressing Provenance Graphs.
22
5 2
6 100
7
Foundations for provenance-aware systems
10
8
Layering in provenance systems
104
9
Making a cloud provenance-aware
33
10 19
11
Layering in Provenance-Aware Storage Systems
8
12
Choosing a Data Model and Query Language for Provenance
43
13 10
14 29
15
Deciding How to Store Provenance
3
16
Provenance-aware storage systems
354
17 54
18
A versatile and user-oriented versioning file system
75
19
Reducing Storage Management Costs via Informed User-Based Policies
17
20
VERSIONFS A Versatile and User-Oriented Versioning File System
5

About Kiran‐Kumar Muniswamy‐Reddy

Kiran‐Kumar Muniswamy‐Reddy is a scholar working on Information Systems and Management, Computer Networks and Communications and Software, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (16 papers), Scientific Computing and Data Management (14 papers) and Distributed and Parallel Computing Systems (12 papers). The work is most often cited by research in Information Systems and Management (599 citations), Computer Networks and Communications (768 citations) and Information Systems (589 citations). Kiran‐Kumar Muniswamy‐Reddy has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Margo Seltzer, David A. Holland, Uri Braun, Peter Macko, Diana MacLean, Charles P. Wright, Erez Zadok, Bor‐Rong Chen, Matt Welsh and Darrell D. E. Long. Their work appears in journals such as ACM SIGOPS Operating Systems Review, Concurrency and Computation Practice and Experience and ACM Transactions on Storage.

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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