Prabhat Gupta
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Municipal Solid Waste Management
- Recycling and Waste Management Techniques
- Landfill Environmental Impact Studies
Papers in
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- Parallel Computing and Optimization Techniques 4
- Embedded Systems Design Techniques 3
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- Interconnection Networks and Systems 1
- Distributed and Parallel Computing Systems 1
- Co-authors
- R. Ramesh (1 shared paper)C. Sharma (1 shared paper)Nahar Singh (1 shared paper)Arvind Kumar Jha (1 shared paper)Suchit Subhaschandra (2 shared papers)David Koufaty (1 shared paper)Ravi Iyer (1 shared paper)Scott Hahn (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (1 paper)Chemosphere (1 paper)2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Prabhat Gupta
7 papers receiving 293 citations
Peers
Comparison fields: 5 of 57
- Hardware and Architecture 108
- Industrial and Manufacturing Engineering 125
- Computer Networks and Communications 111
- Building and Construction 35
- Environmental Engineering 28
Countries citing papers authored by Prabhat Gupta
This map shows the geographic impact of Prabhat Gupta'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 Prabhat Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhat Gupta more than expected).
Fields of papers citing papers by Prabhat Gupta
This network shows the impact of papers produced by Prabhat Gupta. 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 Prabhat Gupta. The network helps show where Prabhat Gupta may publish in the future.
Co-authors
The 22 scholars most cited alongside Prabhat Gupta, 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 | 2007 | 171 | |
| 2 | 2012 | 65 | |
| 3 | 2011 | 45 | |
| 4 | 2009 | 17 | |
| 5 | 2020 | 8 | |
| 6 | 2010 | 6 | |
| 7 | 1998 | 1 |
About Prabhat Gupta
Prabhat Gupta is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Information Systems, having authored 7 papers that have together received 313 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Embedded Systems Design Techniques (3 papers), Spam and Phishing Detection (1 paper), Interconnection Networks and Systems (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Speech and Audio Processing (1 paper), Low-power high-performance VLSI design (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Hardware and Architecture (108 citations), Industrial and Manufacturing Engineering (125 citations), Computer Networks and Communications (111 citations), Building and Construction (35 citations) and Environmental Engineering (28 citations). Prabhat Gupta has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include R. Ramesh, C. Sharma, Nahar Singh, Arvind Kumar Jha, Suchit Subhaschandra, David Koufaty, Ravi Iyer, Scott Hahn, Dheeraj Reddy and Li Zhao. Their work appears in journals such as The Journal of the Acoustical Society of America, Chemosphere and 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).
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.