Noor Shaker
- Artificial Intelligence top 1%
- Sociology and Political Science top 5%
- Computer Vision and Pattern Recognition top 2%
- Developmental and Educational Psychology top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Julian TogeliusGeorgios N. YannakakisMark NelsonMohammad ShakerStylianos AsteriadisKostas KarpouzisMiguel NicolauMichael O’Neill
- Topics
- Artificial Intelligence in Games (26 papers)Digital Games and Media (16 papers)Video Analysis and Summarization (10 papers)
In The Last Decade
Noor Shaker
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 884
- Sociology and Political Science 491
- Computer Vision and Pattern Recognition 418
- Developmental and Educational Psychology 256
- Control and Systems Engineering 124
Countries citing papers authored by Noor Shaker
This map shows the geographic impact of Noor Shaker'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 Noor Shaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noor Shaker more than expected).
Fields of papers citing papers by Noor Shaker
This network shows the impact of papers produced by Noor Shaker. 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 Noor Shaker. The network helps show where Noor Shaker may publish in the future.
Co-authorship network of co-authors of Noor Shaker
This figure shows the co-authorship network connecting the top 25 collaborators of Noor Shaker. A scholar is included among the top collaborators of Noor Shaker 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 Noor Shaker. Noor Shaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 251 | |
| 3 | 10 | |
| 4 | Active Learning for Player Modeling | 2 |
| 5 | 6 | |
| 6 | 13 | |
| 7 | A Comparative Evaluation of Procedural Level Generators in the Mario AI Framework | 41 |
| 8 | 43 | |
| 9 | 34 | |
| 10 | A Quantitative Approach for Modelling and Personalizing Player Experience in First-Person Shooter Games. | 3 |
| 11 | Active player modelling | 3 |
| 12 | 33 | |
| 13 | 36 | |
| 14 | Towards player’s affective and behavioral visual cues as drives to game adaptation | 12 |
| 15 | 70 | |
| 16 | 78 | |
| 17 | 11 | |
| 18 | 11 | |
| 19 | 87 | |
| 20 | 2 |
About Noor Shaker
Noor Shaker is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (26 papers), Digital Games and Media (16 papers) and Video Analysis and Summarization (10 papers). The work is most often cited by research in Artificial Intelligence (884 citations), Computer Vision and Pattern Recognition (418 citations) and Developmental and Educational Psychology (256 citations). Noor Shaker has collaborated with scholars based in Denmark, Malta and Syria. Frequent co-authors include Julian Togelius, Georgios N. Yannakakis, Mark Nelson, Mohammad Shaker, Stylianos Asteriadis, Kostas Karpouzis, Miguel Nicolau, Michael O’Neill, Gillian Smith and Steve Dahlskog. Their work appears in journals such as IEEE Transactions on Cybernetics, AI Magazine and American Journal of Dermatopathology.
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.