Rachael Rafter
- Information Systems top 5%
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Co-authors
- Barry SmythKeith BradleyAonghus LawlorSam C. BanksOwen ConlanVincent WadeMarkus SchaalMichael P. O’Mahony
- Topics
- Recommender Systems and Techniques (13 papers)Image Retrieval and Classification Techniques (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- Communications of the ACMArtificial Intelligence ReviewComputer Science and Information Systems
- Partner nations
- Ireland
In The Last Decade
Rachael Rafter
16 papers receiving 148 citations
Peers
Comparison fields: 5 of 30
- Information Systems 124
- Artificial Intelligence 59
- Computer Networks and Communications 29
- Computer Vision and Pattern Recognition 24
- Management Science and Operations Research 23
Countries citing papers authored by Rachael Rafter
This map shows the geographic impact of Rachael Rafter'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 Rachael Rafter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachael Rafter more than expected).
Fields of papers citing papers by Rachael Rafter
This network shows the impact of papers produced by Rachael Rafter. 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 Rachael Rafter. The network helps show where Rachael Rafter may publish in the future.
Co-authorship network of co-authors of Rachael Rafter
This figure shows the co-authorship network connecting the top 25 collaborators of Rachael Rafter. A scholar is included among the top collaborators of Rachael Rafter 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 Rachael Rafter. Rachael Rafter 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 | 5 | |
| 3 | 7 | |
| 4 | An Analysis of Recommender Algorithms for Online News | 13 |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 20 | |
| 9 | Towards Conversational Collaborative Recommendation | 1 |
| 10 | Item selection strategies for collaborative filtering | 2 |
| 11 | 23 | |
| 12 | Passive Profiling from Server Logs in an Online Recruitment Environment | 46 |
| 13 | Towards a Domain Analysis Methodology for Collaborative Filtering | 2 |
| 14 | Personalised Retrieval for Online Recruitment Services | 28 |
| 15 | Inferring Relevance Feedback from Server Logs: A Case Study in Online Recruitment | 5 |
| 16 | Passive Profiling and Collaborative Recommendation | 1 |
About Rachael Rafter
Rachael Rafter is a scholar working on Information Systems, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 170 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (13 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Information Systems (124 citations), Computer Science Applications (20 citations) and Management Science and Operations Research (23 citations). Rachael Rafter has collaborated with scholars based in Ireland. Frequent co-authors include Barry Smyth, Keith Bradley, Aonghus Lawlor, Sam C. Banks, Owen Conlan, Vincent Wade, Markus Schaal and Michael P. O’Mahony. Their work appears in journals such as Communications of the ACM, Artificial Intelligence Review and Computer Science and Information Systems.
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.