Nesreen K. Ahmed
About
In The Last Decade
Nesreen K. Ahmed
72 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 2.1k
- Statistical and Nonlinear Physics 1.8k
- Computer Vision and Pattern Recognition 754
- Computer Networks and Communications 640
- Information Systems 467
Countries citing papers authored by Nesreen K. Ahmed
This map shows the geographic impact of Nesreen K. Ahmed'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 Nesreen K. Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nesreen K. Ahmed more than expected).
Fields of papers citing papers by Nesreen K. Ahmed
This network shows the impact of papers produced by Nesreen K. Ahmed. 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 Nesreen K. Ahmed. The network helps show where Nesreen K. Ahmed may publish in the future.
Co-authorship network of co-authors of Nesreen K. Ahmed
This figure shows the co-authorship network connecting the top 25 collaborators of Nesreen K. Ahmed. A scholar is included among the top collaborators of Nesreen K. Ahmed 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 Nesreen K. Ahmed. Nesreen K. Ahmed 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 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | Bias and Fairness in Large Language Models: A Survey breakdown → | 141 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems | 3 |
| 13 | 0 | |
| 14 | 25 | |
| 15 | Deep Reinforcement Learning in System Optimization. | 2 |
| 16 | 154 | |
| 17 | Temporal Network Representation Learning | 1 |
| 18 | A Higher-Order Latent Space Network Model. | 1 |
| 19 | NetworkRepository: A Graph Data Repository with Visual Interactive Analytics. | 5 |
| 20 | An Empirical Comparison of Machine Learning Models for Time Series Forecasting breakdown → | 506 |
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.