Sushant S. Garud
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Iftekhar A. KarimiMarkus KraftShamsuzzaman FarooqJanusz SikorskiLi ZhouGeorge BrownbridgeMing PanAntonella Meneghetti
- Topics
- Advanced Multi-Objective Optimization Algorithms (5 papers)Hybrid Renewable Energy Systems (4 papers)Process Optimization and Integration (4 papers)
- Cited by
- Energy Engineering and Power TechnologyStatistics, Probability and UncertaintyComputational Theory and Mathematics
- Partner nations
- SingaporeUnited KingdomChina
In The Last Decade
Sushant S. Garud
15 papers receiving 550 citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 188
- Management Science and Operations Research 106
- Artificial Intelligence 101
- Control and Systems Engineering 99
- Industrial and Manufacturing Engineering 85
Countries citing papers authored by Sushant S. Garud
This map shows the geographic impact of Sushant S. Garud'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 Sushant S. Garud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushant S. Garud more than expected).
Fields of papers citing papers by Sushant S. Garud
This network shows the impact of papers produced by Sushant S. Garud. 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 Sushant S. Garud. The network helps show where Sushant S. Garud may publish in the future.
Co-authorship network of co-authors of Sushant S. Garud
This figure shows the co-authorship network connecting the top 25 collaborators of Sushant S. Garud. A scholar is included among the top collaborators of Sushant S. Garud 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 Sushant S. Garud. Sushant S. Garud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 47 | |
| 3 | 8 | |
| 4 | 10 | |
| 5 | 22 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 33 | |
| 10 | 6 | |
| 11 | 238 | |
| 12 | 14 | |
| 13 | 44 | |
| 14 | 24 | |
| 15 | 71 |
About Sushant S. Garud
Sushant S. Garud is a scholar working on Energy Engineering and Power Technology, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 15 papers that have together received 563 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (5 papers), Hybrid Renewable Energy Systems (4 papers) and Process Optimization and Integration (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (53 citations), Statistics, Probability and Uncertainty (85 citations) and Computational Theory and Mathematics (188 citations). Sushant S. Garud has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Iftekhar A. Karimi, Markus Kraft, Shamsuzzaman Farooq, Janusz Sikorski, Li Zhou, George Brownbridge, Ming Pan, Antonella Meneghetti, Alessandro Romagnoli and Fabio Dal Magro. Their work appears in journals such as Applied Energy, International Journal of Hydrogen Energy and Energy Conversion and Management.
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.