This map shows the geographic impact of Tameem Adel'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 Tameem Adel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tameem Adel more than expected).
This network shows the impact of papers produced by Tameem Adel. 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 Tameem Adel. The network helps show where Tameem Adel may publish in the future.
Co-authorship network of co-authors of Tameem Adel
This figure shows the co-authorship network connecting the top 25 collaborators of Tameem Adel.
A scholar is included among the top collaborators of Tameem Adel 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 Tameem Adel. Tameem Adel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Adel, Tameem, Han Zhao, & Richard E. Turner. (2020). Continual Learning with Adaptive Weights (CLAW). ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).7 indexed citations
4.
Mulvenna, Maurice, Dewar Finlay, Alexander Wong, et al.. (2019). Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making. International Conference on Human-Computer Interaction. 2–9.9 indexed citations
5.
Adel, Tameem & Adrian Weller. (2019). TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 71–81.1 indexed citations
6.
Adel, Tameem, Isabel Valera, Zoubin Ghahramani, & Adrian Weller. (2019). One-Network Adversarial Fairness. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 2412–2420.48 indexed citations
7.
Adel, Tameem, et al.. (2019). Exploring Properties of the Deep Image Prior.5 indexed citations
8.
Adel, Tameem, Zoubin Ghahramani, & Adrian Weller. (2018). Discovering Interpretable Representations for Both Deep Generative and Discriminative Models. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 50–59.20 indexed citations
9.
Zintgraf, Luisa, Taco Cohen, Tameem Adel, & Max Welling. (2017). Visualizing Deep Neural Network Decisions: Prediction Difference Analysis. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).43 indexed citations
Adel, Tameem, David Balduzzi, & Ali Ghodsi. (2015). Learning the structure of sum-product networks via an SVD-based algorithm. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 32–41.19 indexed citations
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.