Sameer Singh
About
In The Last Decade
Sameer Singh
235 papers receiving 19.1k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Artificial Intelligence 13.4k
- Computer Vision and Pattern Recognition 3.3k
- Information Systems 1.4k
- Computer Networks and Communications 1.1k
- Signal Processing 1.1k
Countries citing papers authored by Sameer Singh
This map shows the geographic impact of Sameer Singh'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 Sameer Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Singh more than expected).
Fields of papers citing papers by Sameer Singh
This network shows the impact of papers produced by Sameer Singh. 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 Sameer Singh. The network helps show where Sameer Singh may publish in the future.
Co-authorship network of co-authors of Sameer Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Sameer Singh. A scholar is included among the top collaborators of Sameer Singh 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 Sameer Singh. Sameer Singh 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 | 9 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 84 | |
| 10 | 37 | |
| 11 | 19 | |
| 12 | 97 | |
| 13 | Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency | 5 |
| 14 | How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods. | 11 |
| 15 | 229 | |
| 16 | Generating Natural Adversarial Examples | 65 |
| 17 | A Discriminative Hierarchical Model for Fast Coreference at Large Scale | 33 |
| 18 | Minimally-Supervised Extraction of Entities from Text Advertisements | 24 |
| 19 | Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference | 3 |
| 20 | A multi-objective algorithm based upon particle swarm optimisation, an efficient data structure and turbulence | 229 |
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.