Taimoor Akhtar
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Water Science and Technology
- Management Science and Operations Research top 10%
- Global and Planetary Change
- Co-authors
- Christine A. ShoemakerIlija IlievskiJiashi FengWei XiaPrasad DaggupatiNarayan Kumar ShresthaRaghavan SrinivasanFahad Saeed
- Topics
- Advanced Multi-Objective Optimization Algorithms (9 papers)Hydrology and Watershed Management Studies (9 papers)Metaheuristic Optimization Algorithms Research (6 papers)
- Cited by
- Computational Theory and MathematicsManagement Science and Operations ResearchWater Science and Technology
- Partner nations
- SingaporeCanadaUnited States
In The Last Decade
Taimoor Akhtar
18 papers receiving 373 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 141
- Computational Theory and Mathematics 136
- Water Science and Technology 64
- Management Science and Operations Research 64
- Global and Planetary Change 50
Countries citing papers authored by Taimoor Akhtar
This map shows the geographic impact of Taimoor Akhtar'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 Taimoor Akhtar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taimoor Akhtar more than expected).
Fields of papers citing papers by Taimoor Akhtar
This network shows the impact of papers produced by Taimoor Akhtar. 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 Taimoor Akhtar. The network helps show where Taimoor Akhtar may publish in the future.
Co-authorship network of co-authors of Taimoor Akhtar
This figure shows the co-authorship network connecting the top 25 collaborators of Taimoor Akhtar. A scholar is included among the top collaborators of Taimoor Akhtar 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 Taimoor Akhtar. Taimoor Akhtar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 19 | |
| 12 | 12 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 85 | |
| 17 | Applications of New Surrogate Global Optimization Algorithms including Efficient Synchronous and Asynchronous Parallelism for Calibration of Expensive Nonlinear Geophysical Simulation Models. | 1 |
| 18 | 48 | |
| 19 | 31 | |
| 20 | 112 |
About Taimoor Akhtar
Taimoor Akhtar is a scholar working on Water Science and Technology, Computational Theory and Mathematics and Environmental Engineering, having authored 20 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (9 papers), Hydrology and Watershed Management Studies (9 papers) and Metaheuristic Optimization Algorithms Research (6 papers). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Management Science and Operations Research (64 citations) and Water Science and Technology (64 citations). Taimoor Akhtar has collaborated with scholars based in Singapore, Canada and United States. Frequent co-authors include Christine A. Shoemaker, Ilija Ilievski, Jiashi Feng, Wei Xia, Prasad Daggupati, Narayan Kumar Shrestha, Raghavan Srinivasan, Fahad Saeed, Christoph Schürz and Pranesh Kumar Paul. Their work appears in journals such as Scientific Reports, Journal of Hydrology and Hydrology and earth system 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.