Soumya Ray
About
In The Last Decade
Soumya Ray
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 810
- Computer Vision and Pattern Recognition 374
- Molecular Biology 152
- Information Systems 139
- Biomedical Engineering 93
Countries citing papers authored by Soumya Ray
This map shows the geographic impact of Soumya Ray'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 Soumya Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumya Ray more than expected).
Fields of papers citing papers by Soumya Ray
This network shows the impact of papers produced by Soumya Ray. 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 Soumya Ray. The network helps show where Soumya Ray may publish in the future.
Co-authorship network of co-authors of Soumya Ray
This figure shows the co-authorship network connecting the top 25 collaborators of Soumya Ray. A scholar is included among the top collaborators of Soumya Ray 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 Soumya Ray. Soumya Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 26 | |
| 5 | Multiple-instance learning from distributions | 7 |
| 6 | On the consistency of feature selection with lasso for non-linear targets | 12 |
| 7 | 2 | |
| 8 | Bayesian Hierarchical Reinforcement Learning | 16 |
| 9 | 48 | |
| 10 | Congestion-less energy aware token based MAC protocol integrated with sleep scheduling for Wireless Sensor Networks | 2 |
| 11 | Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions | 1 |
| 12 | Learning and transferring roles in multi-agent MDPs | 3 |
| 13 | Online planning for resource production in real-time strategy games | 23 |
| 14 | Multiple-Instance Active Learning | 309 |
| 15 | An Integrated Approach to Feature Construction and Model Building for Drug Activity Prediction | 1 |
| 16 | 36 | |
| 17 | Skewing: an efficient alternative to lookahead for decision tree induction | 15 |
| 18 | Hierarchical hidden Markov models for information extraction | 94 |
| 19 | Multiple Instance Regression | 83 |
| 20 | Representing sentence structure in hidden Markov models for information extraction | 82 |
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.