N.G. Sharma
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Advanced Data Storage Technologies 6
- Distributed and Parallel Computing Systems 6
- IoT and Edge/Fog Computing 2
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- Scientific Computing and Data Management 5
- Co-authors
- Mayank Swarnkar (1 shared paper)Robin Singh Bhadoria (1 shared paper)K. Chadwick (2 shared papers)Ted Hesselroth (2 shared papers)Gabriele Garzoglio (6 shared papers)A. Kreymer (3 shared papers)Usha Batra (1 shared paper)Philippe Canal (1 shared paper)
- Journals
- Journal of Physics D Applied Physics (1 paper)Studies in big data (1 paper)Journal of Physics Conference Series (5 papers)International Journal of Computer Applications (1 paper)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
N.G. Sharma
6 papers receiving 20 citations
Peers
Comparison fields: 5 of 15
- Information Systems and Management 7
- Computer Networks and Communications 14
- Information Systems 10
- Hardware and Architecture 2
- Signal Processing 3
Countries citing papers authored by N.G. Sharma
This map shows the geographic impact of N.G. Sharma'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 N.G. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.G. Sharma more than expected).
Fields of papers citing papers by N.G. Sharma
This network shows the impact of papers produced by N.G. Sharma. 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 N.G. Sharma. The network helps show where N.G. Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside N.G. Sharma, 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 | 2020 | 9 | |
| 2 | 2008 | 5 | |
| 3 | 2015 | 3 | |
| 4 | 2011 | 2 | |
| 5 | 2017 | 2 | |
| 6 | 2015 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2015 | 0 | |
| 9 | 2017 | 0 | |
| 10 | A Survey of Middleware in different languages for Ubiquitous Services | 2013 | 0 |
About N.G. Sharma
N.G. Sharma is a scholar working on Computer Networks and Communications, Information Systems and Management, Information Systems, Artificial Intelligence and Condensed Matter Physics, having authored 10 papers that have together received 22 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (6 papers), Distributed and Parallel Computing Systems (6 papers), Scientific Computing and Data Management (5 papers), IoT and Edge/Fog Computing (2 papers), Cloud Computing and Resource Management (1 paper), GaN-based semiconductor devices and materials (1 paper), Blockchain Technology Applications and Security (1 paper) and Acoustic Wave Resonator Technologies (1 paper). The work is most often cited by research in Information Systems and Management (7 citations), Computer Networks and Communications (14 citations), Information Systems (10 citations), Hardware and Architecture (2 citations) and Signal Processing (3 citations). N.G. Sharma has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Mayank Swarnkar, Robin Singh Bhadoria, K. Chadwick, Ted Hesselroth, Gabriele Garzoglio, A. Kreymer, Usha Batra, Philippe Canal, K. Herner and Junmin Gu. Their work appears in journals such as Journal of Physics D Applied Physics, Studies in big data, Journal of Physics Conference Series and International Journal of Computer Applications.
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.