Raghotham Murthy
Impact in
- Information Systems top 0.5%
- Cloud Computing and Resource Management
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- Advanced Database Systems and Queries
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Advanced Database Systems and Queries 5
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- Cloud Computing and Resource Management 3
- Co-authors
- Joydeep Sen Sarma (3 shared papers)Ashish Thusoo (3 shared papers)Namit Jain (3 shared papers)Zheng Shao (3 shared papers)Hao Liu (1 shared paper)Pete Wyckoff (1 shared paper)Dhruba Borthakur (1 shared paper)Jennifer Widom (2 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the VLDB Endowment (1 paper)Proceedings - International Conference on Data Engineering (1 paper)Max Planck Digital Library (1 paper)Proceedings - ACM-SIGMOD International Conference on Management of Data (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Raghotham Murthy
6 papers receiving 2.2k citations
Raghotham Murthy's Hit Papers
Peers
Comparison fields: 5 of 73
- Information Systems 1.3k
- Computer Networks and Communications 1.1k
- Information Systems and Management 269
- Hardware and Architecture 97
- Signal Processing 97
Countries citing papers authored by Raghotham Murthy
This map shows the geographic impact of Raghotham Murthy'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 Raghotham Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghotham Murthy more than expected).
Fields of papers citing papers by Raghotham Murthy
This network shows the impact of papers produced by Raghotham Murthy. 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 Raghotham Murthy. The network helps show where Raghotham Murthy may publish in the future.
Co-authors
The 16 scholars most cited alongside Raghotham Murthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Hive Hit paper breakdown → | 2009 | 1210 |
| 2 | Hive - a petabyte scale data warehouse using Hadoop Hit paper breakdown → | 2010 | 708 |
| 3 | 2010 | 310 | |
| 4 | Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS | 2007 | 51 |
| 5 | 2010 | 32 | |
| 6 | 2012 | 7 |
About Raghotham Murthy
Raghotham Murthy is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Information Systems and Management and Nuclear Energy and Engineering, having authored 6 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Cloud Computing and Resource Management (3 papers), Big Data Technologies and Applications (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Information Systems (1.3k citations), Computer Networks and Communications (1.1k citations), Information Systems and Management (269 citations), Hardware and Architecture (97 citations) and Signal Processing (97 citations). Raghotham Murthy has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Joydeep Sen Sarma, Ashish Thusoo, Namit Jain, Zheng Shao, Hao Liu, Pete Wyckoff, Hao Liu, Hao Liu, Dhruba Borthakur and Jennifer Widom. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, Proceedings - International Conference on Data Engineering, Max Planck Digital Library and Proceedings - ACM-SIGMOD International Conference on Management of Data.
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.