Dharmashankar Subramanian
About
In The Last Decade
Dharmashankar Subramanian
67 papers receiving 687 citations
Peers
Comparison fields: 5 of 96
- Control and Systems Engineering 173
- Aerospace Engineering 154
- Computer Vision and Pattern Recognition 152
- Management Science and Operations Research 147
- Artificial Intelligence 110
Countries citing papers authored by Dharmashankar Subramanian
This map shows the geographic impact of Dharmashankar Subramanian'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 Dharmashankar Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dharmashankar Subramanian more than expected).
Fields of papers citing papers by Dharmashankar Subramanian
This network shows the impact of papers produced by Dharmashankar Subramanian. 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 Dharmashankar Subramanian. The network helps show where Dharmashankar Subramanian may publish in the future.
Co-authorship network of co-authors of Dharmashankar Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Dharmashankar Subramanian. A scholar is included among the top collaborators of Dharmashankar Subramanian 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 Dharmashankar Subramanian. Dharmashankar Subramanian 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 | 3 | |
| 3 | 3 | |
| 4 | Causal Inference for Event Pairs in Multivariate Point Processes | 1 |
| 5 | Proximal Graphical Event Models | 17 |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning | 5 |
| 10 | 21 | |
| 11 | Solution methods for constrained Markov decision process with continuous probability modulation | 4 |
| 12 | 2 | |
| 13 | The Price of Dynamic Inconsistency for Distortion Risk Measures | 5 |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Modeling of desilication of agro based black liquor using artificial neural networks | 1 |
| 17 | Desilication of agro based black liquor and green liquor using jet loop reactor | 4 |
| 18 | Desilication of agro based black liquor using bubble column reactor | 3 |
| 19 | Some spent black liquor based powder detergents cum stain removers | 1 |
| 20 | Settling and filtration characteristics of carbonated black liquor from agro based paper mill | 2 |
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.