Sushmita Sharma
Impact in
-
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Advanced Multi-Objective Optimization Algorithms 17
-
- Metaheuristic Optimization Algorithms Research 17
- Evolutionary Algorithms and Applications 11
- Co-authors
- Apu Kumar SahaSanjoy ChakrabortyKhushwant S. YadavSukanta NamaSeyedali MirjaliliRatul ChakrabortySaroj Kumar SahooD. L. Williams
- Journals
- Soft Computing (4 papers)Physics Letters A (3 papers)Journal of Ambient Intelligence and Humanized Computing (2 papers)Artificial Intelligence Review (2 papers)Life Sciences (2 papers)
- Partner nations
- IndiaAustraliaSouth Korea
In The Last Decade
Sushmita Sharma
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 131
- Computational Theory and Mathematics 330
- Artificial Intelligence 549
- Pharmaceutical Science 82
- Ophthalmology 100
- Industrial and Manufacturing Engineering 62
Countries citing papers authored by Sushmita Sharma
This map shows the geographic impact of Sushmita 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 Sushmita Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushmita Sharma more than expected).
Fields of papers citing papers by Sushmita Sharma
This network shows the impact of papers produced by Sushmita 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 Sushmita Sharma. The network helps show where Sushmita Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushmita 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 | 2024 | 1 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 24 | |
| 4 | 2022 | 31 | |
| 5 | 2022 | 66 | |
| 6 | 2022 | 55 | |
| 7 | 2022 | 73 | |
| 8 | 2022 | 24 | |
| 9 | 2022 | 24 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 39 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 67 | |
| 14 | 2021 | 55 | |
| 15 | 2021 | 31 | |
| 16 | 2020 | 32 | |
| 17 | 2020 | 21 | |
| 18 | 2019 | 59 | |
| 19 | Risk Factors of Pelvic Inflammatory Disease in Rural Population of Haryana | 2019 | 1 |
| 20 | 2019 | 17 |
About Sushmita Sharma
Sushmita Sharma is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Obstetrics and Gynecology, Filtration and Separation and Numerical Analysis, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (17 papers), Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (11 papers), Solid-state spectroscopy and crystallography (5 papers), Extraction and Separation Processes (5 papers), Glaucoma and retinal disorders (3 papers), Thermodynamic and Structural Properties of Metals and Alloys (3 papers) and Metal Extraction and Bioleaching (3 papers). The work is most often cited by research in Computational Theory and Mathematics (330 citations), Artificial Intelligence (549 citations), Pharmaceutical Science (82 citations), Ophthalmology (100 citations) and Industrial and Manufacturing Engineering (62 citations). Sushmita Sharma has collaborated with scholars based in India, Australia and South Korea. Frequent co-authors include Apu Kumar Saha, Sanjoy Chakraborty, Khushwant S. Yadav, Sukanta Nama, Seyedali Mirjalili, Ratul Chakraborty, Saroj Kumar Sahoo, D. L. Williams, Vaishali Londhe and Ashim Saha. Their work appears in journals such as Soft Computing, Physics Letters A, Journal of Ambient Intelligence and Humanized Computing, Artificial Intelligence Review and Life 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.