Shivani Sharma
- Biomedical Engineering
- Materials Chemistry
- Applied Mathematics top 10%
- Electrical and Electronic Engineering
- Plant Science
- Co-authors
- Ajay K. SharmaDevinder MehtaP. Pardha SaradhiMichael D. DolanD. James HarrisP. SharmilaRaman KumarAlexander Ilyushechkin
- Topics
- Holomorphic and Operator Theory (10 papers)Algebraic and Geometric Analysis (5 papers)Advanced Topics in Algebra (4 papers)
- Journals
- SmallIEEE AccessSurface Science
In The Last Decade
Shivani Sharma
34 papers receiving 313 citations
Peers
Comparison fields: 5 of 91
- Biomedical Engineering 65
- Materials Chemistry 63
- Applied Mathematics 60
- Electrical and Electronic Engineering 56
- Plant Science 34
Countries citing papers authored by Shivani Sharma
This map shows the geographic impact of Shivani 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 Shivani Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shivani Sharma more than expected).
Fields of papers citing papers by Shivani Sharma
This network shows the impact of papers produced by Shivani 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 Shivani Sharma. The network helps show where Shivani Sharma may publish in the future.
Co-authorship network of co-authors of Shivani Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Shivani Sharma. A scholar is included among the top collaborators of Shivani Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shivani Sharma. Shivani Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 30 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | Drivers Affecting the Green Supply Chain Management Adaptation: A Review | 17 |
| 11 | Ergonomic assessment of existing methods of harvesting flowers from the fields. | 1 |
| 12 | 68 | |
| 13 | Green Supply Chain Management Practices in Automobile Industry: An Empirical Study | 5 |
| 14 | DEVELOPMENT AND VALIDATION OF HPTLC METHOD FOR THE DETERMINATION OF ANDROGRAPHOLIDE FROM ANDROGRAPHIS PANICULATA (WHOLE PLANT) | 3 |
| 15 | Compact composition operators on Hardy-orlicz spaces | 3 |
| 16 | 11 | |
| 17 | ON SEQUENCES OF COMPOSITION OPERATORS | 0 |
| 18 | 2 | |
| 19 | HAEMATOLOGICAL CHARACTERISTICS OF CLARIAS BATRACHUS UNDER THE METALLIC STERSS OF HEXAVALENT CHROMIUM | 3 |
| 20 | 10 |
About Shivani Sharma
Shivani Sharma is a scholar working on Applied Mathematics, Algebra and Number Theory and Software, having authored 38 papers that have together received 348 indexed citations. Recurring topics across this work include Holomorphic and Operator Theory (10 papers), Algebraic and Geometric Analysis (5 papers) and Advanced Topics in Algebra (4 papers). The work is most often cited by research in Applied Mathematics (60 citations), Algebra and Number Theory (18 citations) and Industrial and Manufacturing Engineering (26 citations). Shivani Sharma has collaborated with scholars based in India, Slovakia and Austria. Frequent co-authors include Ajay K. Sharma, Devinder Mehta, P. Pardha Saradhi, Michael D. Dolan, D. James Harris, P. Sharmila, Raman Kumar, Alexander Ilyushechkin, Bhupinder Dhir and K.G. McLennan. Their work appears in journals such as Small, IEEE Access and Surface Science.
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.