Nesreen K. Ahmed
- Statistical and Nonlinear Physics top 0.2%
- Complex Network Analysis Techniques 40
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks 35
- Topic Modeling 7
- Data Stream Mining Techniques 5
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- Data Visualization and Analytics 10
- Graph Theory and Algorithms 8
- Signal Processing top 2%
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- Bioinformatics and Genomic Networks 9
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- Recommender Systems and Techniques 6
- Co-authors
- Ryan A. RossiJennifer NevilleNeamat El GayarHisham El‐ShishinyAmir F. AtiyaSungchul KimEunyee KohJohn Boaz Lee
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (3 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Nesreen K. Ahmed
72 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Statistical and Nonlinear Physics 1.8k
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 754
- Signal Processing 306
- Computer Networks and Communications 640
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
The 25 scholars most cited alongside Nesreen K. Ahmed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 0 | |
| 7 | Bias and Fairness in Large Language Models: A Surveybreakdown → | 2024 | 141 |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 12 | |
| 12 | A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems | 2021 | 3 |
| 13 | 2021 | 0 | |
| 14 | 2020 | 25 | |
| 15 | Deep Reinforcement Learning in System Optimization. | 2019 | 2 |
| 16 | 2019 | 154 | |
| 17 | Temporal Network Representation Learning | 2019 | 1 |
| 18 | A Higher-Order Latent Space Network Model. | 2017 | 1 |
| 19 | NetworkRepository: A Graph Data Repository with Visual Interactive Analytics. | 2014 | 5 |
| 20 | An Empirical Comparison of Machine Learning Models for Time Series Forecastingbreakdown → | 2010 | 506 |
About Nesreen K. Ahmed
Nesreen K. Ahmed is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 3.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (40 papers), Advanced Graph Neural Networks (35 papers), Data Visualization and Analytics (10 papers), Bioinformatics and Genomic Networks (9 papers), Graph Theory and Algorithms (8 papers), Topic Modeling (7 papers), Recommender Systems and Techniques (6 papers) and Data Stream Mining Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.8k citations), Artificial Intelligence (2.1k citations) and Computer Vision and Pattern Recognition (754 citations). Nesreen K. Ahmed has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Ryan A. Rossi, Jennifer Neville, Neamat El Gayar, Hisham El‐Shishiny, Amir F. Atiya, Sungchul Kim, Eunyee Koh, John Boaz Lee, Ramana Rao Kompella and Nick Duffield. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.
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.