A. Usha
Impact in
- Geometry and Topology top 2%
- Graph theory and applications
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- Computational Drug Discovery Methods
- Graph Labeling and Dimension Problems
Papers in
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- Computational Drug Discovery Methods 19
- Graph Labeling and Dimension Problems 4
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- Graph theory and applications 21
- Co-authors
- M. C. Shanmukha (22 shared papers)Mohammad Reza Farahani (2 shared papers)Xiujun Zhang (1 shared paper)Mehdi Alaeiyan (1 shared paper)Muhammad Kamran Siddiqui (2 shared papers)Muhammad Azeem (2 shared papers)B. Praveen (2 shared papers)Rashad Ismail (1 shared paper)
In The Last Decade
A. Usha
34 papers receiving 457 citations
Peers
Comparison fields: 5 of 45
- Geometry and Topology 284
- Computational Theory and Mathematics 304
- Organic Chemistry 177
- Inorganic Chemistry 20
- Biological Psychiatry 3
Countries citing papers authored by A. Usha
This map shows the geographic impact of A. Usha'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 A. Usha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Usha more than expected).
Fields of papers citing papers by A. Usha
This network shows the impact of papers produced by A. Usha. 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 A. Usha. The network helps show where A. Usha may publish in the future.
Co-authors
The 14 scholars most cited alongside A. Usha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2022 | 37 | |
| 3 | 2021 | 35 | |
| 4 | 2014 | 29 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 24 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2024 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2024 | 14 | |
| 13 | 2024 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2020 | 6 |
About A. Usha
A. Usha is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Organic Chemistry, Electrical and Electronic Engineering and Materials Chemistry, having authored 38 papers that have together received 466 indexed citations. Recurring topics across this work include Graph theory and applications (21 papers), Computational Drug Discovery Methods (19 papers), Free Radicals and Antioxidants (15 papers), Advanced DC-DC Converters (8 papers), Graph Labeling and Dimension Problems (4 papers), Multilevel Inverters and Converters (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Geometry and Topology (284 citations), Computational Theory and Mathematics (304 citations), Organic Chemistry (177 citations), Inorganic Chemistry (20 citations) and Biological Psychiatry (3 citations). A. Usha has collaborated with scholars based in India, Pakistan and Iran. Frequent co-authors include M. C. Shanmukha, Mohammad Reza Farahani, Xiujun Zhang, Mehdi Alaeiyan, Muhammad Kamran Siddiqui, Muhammad Azeem, B. Praveen, Rashad Ismail, V. R. Kulli and Bhoopendra Singh. Their work appears in journals such as International Journal of Quantum Chemistry, Scientific Reports, Heliyon, Mathematical Biosciences & Engineering and Molecular Physics.
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.