Shelvin Chand
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Industrial and Manufacturing Engineering top 2%
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Markus WagnerHemant Kumar SinghTapabrata RayDavid HowardJack CollinsRohitash ChandraMichael J. RyanCMAK Zeelan Basha
- Topics
- Scheduling and Optimization Algorithms (6 papers)Resource-Constrained Project Scheduling (6 papers)Metaheuristic Optimization Algorithms Research (5 papers)
In The Last Decade
Shelvin Chand
16 papers receiving 507 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 169
- Management Science and Operations Research 168
- Industrial and Manufacturing Engineering 164
- Control and Systems Engineering 94
- Computational Theory and Mathematics 81
Countries citing papers authored by Shelvin Chand
This map shows the geographic impact of Shelvin Chand'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 Shelvin Chand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shelvin Chand more than expected).
Fields of papers citing papers by Shelvin Chand
This network shows the impact of papers produced by Shelvin Chand. 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 Shelvin Chand. The network helps show where Shelvin Chand may publish in the future.
Co-authorship network of co-authors of Shelvin Chand
This figure shows the co-authorship network connecting the top 25 collaborators of Shelvin Chand. A scholar is included among the top collaborators of Shelvin Chand 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 Shelvin Chand. Shelvin Chand 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 | 2 | |
| 3 | 150 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 22 | |
| 7 | 5 | |
| 8 | 37 | |
| 9 | 81 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | 45 | |
| 13 | 8 | |
| 14 | 8 | |
| 15 | 95 | |
| 16 | 7 | |
| 17 | 7 |
About Shelvin Chand
Shelvin Chand is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computational Theory and Mathematics, having authored 17 papers that have together received 516 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (6 papers), Resource-Constrained Project Scheduling (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (164 citations), Management Science and Operations Research (168 citations) and Artificial Intelligence (169 citations). Shelvin Chand has collaborated with scholars based in Australia, Fiji and India. Frequent co-authors include Markus Wagner, Hemant Kumar Singh, Tapabrata Ray, David Howard, Jack Collins, Rohitash Chandra, Michael J. Ryan, CMAK Zeelan Basha, Aneta Neumann and Belaïd Ahiod. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Evolutionary Computation.
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.