Raghotham Murthy

3.1k citations
7 papers · 2.3k · 3 hit papers · h-index 7

Impact in

Papers in

Raghotham Murthy

7 papers receiving 2.2k citations

Raghotham Murthy's Hit Papers

Hive - a petabyte scale data warehouse using Hadoop 2010 · 707 citations
7070+5+11Years since publication4008001.2k

Peers

Raghotham Murthy
Comparison fields: 5 of 76
  • Computer Networks and Communications 1.8k
  • Information Systems 1.7k
  • Information Systems and Management 320
  • Signal Processing 427
  • Management Information Systems 213
Replace Namit Jain with:
Namit Jain United States
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Yin Huai United States
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Jorge-Arnulfo Quiané-Ruiz Germany
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Tilmann Rabl Germany
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Citations per field
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Citations per year

Countries citing papers authored by Raghotham Murthy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 15 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.

Border = papers with Raghotham Murthy Line = papers co-authored together Raghotham Murthy links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Hive
Hit paper breakdown →
20091213
2
Hive - a petabyte scale data warehouse using Hadoop
Hit paper breakdown →
2010707
3
Data warehousing and analytics infrastructure at facebook
Hit paper breakdown →
2010313
4
Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS
200751
5 201031
6
Making Aggregation Work in Uncertain and Probabilistic Databases.
200712
7 20127

About Raghotham Murthy

Raghotham Murthy is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Management Information Systems and Information Systems and Management, having authored 7 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Cloud Computing and Resource Management (4 papers), Data Management and Algorithms (3 papers), Big Data and Business Intelligence (2 papers), Scientific Computing and Data Management (1 paper), Blockchain Technology Applications and Security (1 paper), Logic, Reasoning, and Knowledge (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (1.8k citations), Information Systems (1.7k citations), Information Systems and Management (320 citations), Signal Processing (427 citations) and Management Information Systems (213 citations). Raghotham Murthy has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Namit Jain, Zheng Shao, Pete Wyckoff, Hao Liu, Hao Liu, Ning Zhang, Hao Liu, Dhruba Borthakur, Jennifer Widom and Robert Ikeda. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, XRDS Crossroads The ACM Magazine for Students and Max Planck Digital Library.

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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