S. Sharma
Impact in
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- Recycling and Waste Management Techniques
- Municipal Solid Waste Management
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- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
Papers in
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- Advanced Clustering Algorithms Research 1
- Co-authors
- Kumar Sudesh (1 shared paper)Ajay Singh Verma (1 shared paper)Jyoti Chaudhary (1 shared paper)Kulwinder Singh (1 shared paper)Swati Singh (1 shared paper)Naveen Thakur (2 shared papers)Arvind Sharma (2 shared papers)Meena Devi (2 shared papers)
- Journals
- Immunology Letters (1 paper)Toxicological & Environmental Chemistry Reviews (1 paper)Strategy and Leadership (1 paper)International Journal of Computer Applications (1 paper)International Journal of Health Sciences (1 paper)
- Partner nations
- India
In The Last Decade
S. Sharma
7 papers receiving 100 citations
Peers
Comparison fields: 5 of 52
- Industrial and Manufacturing Engineering 44
- Renewable Energy, Sustainability and the Environment 15
- Organizational Behavior and Human Resource Management 8
- Mechanical Engineering 25
- Pollution 7
Countries citing papers authored by S. Sharma
This map shows the geographic impact of S. 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 S. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sharma more than expected).
Fields of papers citing papers by S. Sharma
This network shows the impact of papers produced by S. 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 S. Sharma. The network helps show where S. Sharma may publish in the future.
Co-authors
The 19 scholars most cited alongside S. 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 | 2023 | 68 | |
| 2 | 2014 | 11 | |
| 3 | 2024 | 10 | |
| 4 | 2025 | 9 | |
| 5 | 2016 | 3 | |
| 6 | 2021 | 2 | |
| 7 | Status of Higher Education in Rural Areas of Jammu And Kashmir State | 2014 | 1 |
| 8 | 2023 | 1 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 0 | |
| 12 | 2025 | 0 |
About S. Sharma
S. Sharma is a scholar working on Artificial Intelligence, Complementary and alternative medicine, Materials Chemistry, Organizational Behavior and Human Resource Management and Communication, having authored 12 papers that have together received 105 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (2 papers), Recycling and Waste Management Techniques (1 paper), Advanced Clustering Algorithms Research (1 paper), Knowledge Management and Sharing (1 paper), Data Mining Algorithms and Applications (1 paper), Piperaceae Chemical and Biological Studies (1 paper), Photovoltaic System Optimization Techniques (1 paper) and Pigment Synthesis and Properties (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (44 citations), Renewable Energy, Sustainability and the Environment (15 citations), Organizational Behavior and Human Resource Management (8 citations), Mechanical Engineering (25 citations) and Pollution (7 citations). S. Sharma has collaborated with scholars based in India. Frequent co-authors include Kumar Sudesh, Ajay Singh Verma, Jyoti Chaudhary, Kulwinder Singh, Swati Singh, Naveen Thakur, Arvind Sharma, Meena Devi, Nikesh Thakur and Sunil Kumar. Their work appears in journals such as Immunology Letters, Toxicological & Environmental Chemistry Reviews, Strategy and Leadership, International Journal of Computer Applications and International Journal of Health Sciences.
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.