Subutai Ahmad
About
In The Last Decade
Subutai Ahmad
32 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 999
- Computer Networks and Communications 349
- Signal Processing 347
- Cognitive Neuroscience 329
- Electrical and Electronic Engineering 237
Countries citing papers authored by Subutai Ahmad
This map shows the geographic impact of Subutai Ahmad'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 Subutai Ahmad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subutai Ahmad more than expected).
Fields of papers citing papers by Subutai Ahmad
This network shows the impact of papers produced by Subutai Ahmad. 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 Subutai Ahmad. The network helps show where Subutai Ahmad may publish in the future.
Co-authorship network of co-authors of Subutai Ahmad
This figure shows the co-authorship network connecting the top 25 collaborators of Subutai Ahmad. A scholar is included among the top collaborators of Subutai Ahmad 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 Subutai Ahmad. Subutai Ahmad 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 | 17 | |
| 3 | 24 | |
| 4 | 21 | |
| 5 | 73 | |
| 6 | 69 | |
| 7 | 82 | |
| 8 | 218 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | Efficient Methods for Dealing with Missing Data in Supervised Learning | 48 |
| 13 | Training Neural Networks with Deficient Data | 59 |
| 14 | Feature Densities are Required for Computing Feature Correspondences | 2 |
| 15 | Some Solutions to the Missing Feature Problem in Vision | 58 |
| 16 | Network Structuring and Training Using Rule-based Knowledge | 53 |
| 17 | Visit: an efficient computational model of human visual attention | 19 |
| 18 | VISIT: A Neural Model of Covert Visual Attention | 16 |
| 19 | Asymptotic Convergence of Backpropagation: Numerical Experiments | 5 |
| 20 | Scaling and Generalization in Neural Networks: A Case Study | 43 |
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.