Ayesha Bajwa
- Artificial Intelligence
- Computer Science Applications
- Safety Research
- Computer Vision and Pattern Recognition
- Health Informatics
- Co-authors
- Michael A. SpecterLalana KagalDavid BauLeilani H. GilpinErik HembergUna-May O’ReillyNancy Law
- Topics
- Teaching and Learning Programming (3 papers)Online Learning and Analytics (3 papers)Innovative Teaching and Learning Methods (1 paper)
- Journals
- arXiv (Cornell University)
- Partner nations
- Hong Kong
In The Last Decade
Ayesha Bajwa
4 papers receiving 60 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 48
- Computer Science Applications 10
- Safety Research 9
- Computer Vision and Pattern Recognition 7
- Health Informatics 7
Countries citing papers authored by Ayesha Bajwa
This map shows the geographic impact of Ayesha Bajwa'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 Ayesha Bajwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayesha Bajwa more than expected).
Fields of papers citing papers by Ayesha Bajwa
This network shows the impact of papers produced by Ayesha Bajwa. 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 Ayesha Bajwa. The network helps show where Ayesha Bajwa may publish in the future.
Co-authorship network of co-authors of Ayesha Bajwa
This figure shows the co-authorship network connecting the top 25 collaborators of Ayesha Bajwa. A scholar is included among the top collaborators of Ayesha Bajwa 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 Ayesha Bajwa. Ayesha Bajwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning | 56 |
About Ayesha Bajwa
Ayesha Bajwa is a scholar working on Computer Science Applications, Media Technology and Developmental and Educational Psychology, having authored 4 papers that have together received 65 indexed citations. Recurring topics across this work include Teaching and Learning Programming (3 papers), Online Learning and Analytics (3 papers) and Innovative Teaching and Learning Methods (1 paper). The work is most often cited by research in Health Informatics (7 citations), Computer Science Applications (10 citations) and Artificial Intelligence (48 citations). Ayesha Bajwa has collaborated with scholars based in Hong Kong. Frequent co-authors include Michael A. Specter, Lalana Kagal, David Bau, Leilani H. Gilpin, Erik Hemberg, Una-May O’Reilly and Nancy Law. Their work appears in journals such as arXiv (Cornell University).
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.