2026 Amr Ahmed: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	41	8646	8399	18	18	165	10870

Overview

Amr Ahmed is affiliated with the University of Nottingham Malaysia Campus in Malaysia. Their research contributions span multiple intersections of computer science and medicine, with a notable emphasis on artificial intelligence and its applications.

The primary fields of study in Ahmed's work include:

Computer Science
Medicine

Within these, the main subfields encompass:

Artificial Intelligence
Computer Vision and Pattern Recognition
Radiology, Nuclear Medicine and Imaging
Electrical and Electronic Engineering
Molecular Biology

Ahmed's research explores diverse topics, notably:

AI in cancer detection
Topic Modeling
Natural Language Processing Techniques
Radiomics and Machine Learning in Medical Imaging
Advanced Neural Network Applications
Colorectal Cancer Screening and Detection
Advanced Text Analysis Techniques

Recent significant publications authored or co-authored by Ahmed include:

Big Bird: Transformers for Longer Sequences, 2020, published in arXiv (Cornell University)
The challenges and opportunities of online learning and teaching at engineering and theoretical colleges during the pandemic, 2022, Ain Shams Engineering Journal
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge, 2024, Scientific Reports
The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review, 2022, Medical & Biological Engineering & Computing
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

The venues where Ahmed frequently publishes include:

arXiv (Cornell University)
Ain Shams Engineering Journal
Scientific Reports
Medical & Biological Engineering & Computing
Proceedings of the AAAI Conference on Artificial Intelligence

Collaborative research is evident in Ahmed's frequent co-authorship with several researchers, most notably:

Iman Yi Liao
Manzil Zaheer
Avinava Dubey
Nicholas Monath
Tomás Maul

This profile highlights Ahmed's involvement across interdisciplinary applications of AI, with an expansive portfolio covering both theoretical and practical aspects of machine learning, computer vision, and medical imaging.

Best Publications

Scaling distributed machine learning with the parameter server

Mu Li;David G. Andersen;Jun Woo Park;Alexander J. Smola

1661
Citations
Recurrent Recommender Networks

Chao-Yuan Wu;Amr Ahmed;Alex Beutel;Alexander J. Smola

771
Citations
Distributed large-scale natural graph factorization

Amr Ahmed;Nino Shervashidze;Shravan Narayanamurthy;Vanja Josifovski

725
Citations
MedLDA: maximum margin supervised topic models

Jun Zhu;Amr Ahmed;Eric P. Xing

537
Citations
Joint latent topic models for text and citations

Ramesh M. Nallapati;Amr Ahmed;Eric P. Xing;William W. Cohen

526
Citations
Discovering geographical topics in the twitter stream

Liangjie Hong;Amr Ahmed;Siva Gurumurthy;Alexander J. Smola

504
Citations
Big Bird: Transformers for Longer Sequences

Manzil Zaheer;Guru Guruganesh;Avinava Dubey;Joshua Ainslie

406
Citations
Estimating time-varying networks

Mladen Kolar;Le Song;Amr Ahmed;Eric P. Xing

375
Citations
Sparse Additive Generative Models of Text

Jacob Eisenstein;Amr Ahmed;Eric P. Xing

363
Citations
Scalable inference in latent variable models

Amr Ahmed;Moahmed Aly;Joseph Gonzalez;Shravan Narayanamurthy

338
Citations
Recovering time-varying networks of dependencies in social and biological studies.

Amr Ahmed;Eric P. Xing

329
Citations
Big Bird: Transformers for Longer Sequences

Manzil Zaheer;Guru Guruganesh;Kumar Avinava Dubey;Joshua Ainslie

282
Citations
Reducing the sampling complexity of topic models

Aaron Q. Li;Amr Ahmed;Sujith Ravi;Alexander J. Smola

254
Citations
Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering.

Amr Ahmed;Eric P. Xing

241
Citations
MedLDA: maximum margin supervised topic models for regression and classification

Jun Zhu;Amr Ahmed;Eric P. Xing

227
Citations
Scalable distributed inference of dynamic user interests for behavioral targeting

Amr Ahmed;Yucheng Low;Mohamed Aly;Vanja Josifovski

219
Citations
Timeline: a dynamic hierarchical dirichlet process model for recovering birth/death and evolution of topics in text stream

Amr Ahmed;Eric P. Xing

211
Citations
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks

Amr Ahmed;Kai Yu;Wei Xu;Yihong Gong

200
Citations
Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams

Nan Du;Mehrdad Farajtabar;Amr Ahmed;Alexander J. Smola

186
Citations
Hierarchical geographical modeling of user locations from social media posts

Amr Ahmed;Liangjie Hong;Alexander J. Smola

153
Citations

Frequent Co-Authors

Alexander J. Smola Amazon (United States)

Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence

Vanja Josifovski Airbnb

Hamid A. Jalab Al Ayen University

Andrew McCallum University of Massachusetts Amherst

Adrian Hilton University of Surrey

William W. Cohen Carnegie Mellon University

Branislav Kveton Adobe Systems (United States)

Marc Najork Google (United States)

Robert F. Murphy Carnegie Mellon University

External Links

Personal website of Amr Ahmed Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Expanding your options in Computer Science often means exploring related degrees and certifications that can lead to strong career growth. Many students are now considering the affordable data science degree route, which combines core computer science with advanced analytics, preparing graduates for in-demand roles in data-driven industries.

If you are interested in engineering, some of the top online electrical engineering schools offer flexible programs designed for busy professionals. These can open doors to specialized tech careers in areas like hardware design, robotics, and IoT.

For those looking to pivot quickly or upskill rapidly, 3-month certificate programs that pay well provide quick access to lucrative roles in the tech sector. Options range from cybersecurity to project management and require minimal prior experience.

Need a graduate credential in less time? Explore the quickest online masters degree programs, which can often be completed in a year or less. These fast-tracked master's degrees help you advance your career without a long-term commitment.