Namit Jain
Impact in
- Computer Networks and Communications top 0.5%
- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Information Systems top 0.2%
- Cloud Computing and Resource Management
Papers in
-
- Advanced Database Systems and Queries 4
- Advanced Data Storage Technologies 1
-
- Cloud Computing and Resource Management 4
- Blockchain Technology Applications and Security 1
- Co-authors
- Zheng Shao (4 shared papers)Raghotham Murthy (3 shared papers)Pete Wyckoff (1 shared paper)Hao Liu (1 shared paper)Ning Zhang (1 shared paper)Dhruba Borthakur (1 shared paper)Rubao Lee (1 shared paper)Yongqiang He (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (2 papers)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Namit Jain
6 papers receiving 2.0k citations
Namit Jain's Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 1.7k
- Information Systems 1.5k
- Information Systems and Management 289
- Signal Processing 393
- Management Information Systems 189
Countries citing papers authored by Namit Jain
This map shows the geographic impact of Namit Jain'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 Namit Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Namit Jain more than expected).
Fields of papers citing papers by Namit Jain
This network shows the impact of papers produced by Namit Jain. 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 Namit Jain. The network helps show where Namit Jain may publish in the future.
Co-authors
The 23 scholars most cited alongside Namit Jain, 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 | 1058 |
| 2 | Hive - a petabyte scale data warehouse using Hadoop Hit paper breakdown → | 2010 | 580 |
| 3 | 2010 | 268 | |
| 4 | 2011 | 175 | |
| 5 | 2008 | 95 | |
| 6 | 2019 | 5 |
About Namit Jain
Namit Jain is a scholar working on Computer Networks and Communications, Information Systems, Management Information Systems, Signal Processing and Artificial Intelligence, having authored 6 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Advanced Database Systems and Queries (4 papers), Data Management and Algorithms (2 papers), Big Data and Business Intelligence (2 papers), Advanced Data Storage Technologies (1 paper), Blockchain Technology Applications and Security (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Information Systems (1.5k citations), Information Systems and Management (289 citations), Signal Processing (393 citations) and Management Information Systems (189 citations). Namit Jain has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Zheng Shao, Raghotham Murthy, Pete Wyckoff, Hao Liu, Hao Liu, Ning Zhang, Dhruba Borthakur, Hao Liu, Rubao Lee and Yongqiang He. Their work appears in journals such as Proceedings of the VLDB Endowment and SSRN Electronic Journal.
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.