Kieran McDonald
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Signal Processing
- Co-authors
- Alan F. SmeatonCathal GurrinXing XieNicholas Jing YuanYu SunBarry SmythDavid C. WilsonRui Zhang
- Topics
- Video Analysis and Summarization (9 papers)Recommender Systems and Techniques (6 papers)Multimedia Communication and Technology (5 papers)
- Journals
- ACM Transactions on Information SystemsUser Modeling and User-Adapted InteractionResearch in Learning Technology
- Partner nations
- IrelandAustraliaUnited States
In The Last Decade
Kieran McDonald
16 papers receiving 288 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 152
- Information Systems 144
- Artificial Intelligence 107
- Sociology and Political Science 53
- Signal Processing 41
Countries citing papers authored by Kieran McDonald
This map shows the geographic impact of Kieran McDonald'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 Kieran McDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kieran McDonald more than expected).
Fields of papers citing papers by Kieran McDonald
This network shows the impact of papers produced by Kieran McDonald. 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 Kieran McDonald. The network helps show where Kieran McDonald may publish in the future.
Co-authorship network of co-authors of Kieran McDonald
This figure shows the co-authorship network connecting the top 25 collaborators of Kieran McDonald. A scholar is included among the top collaborators of Kieran McDonald 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 Kieran McDonald. Kieran McDonald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 10 | |
| 3 | Digital capability and teaching excellence: an integrative review exploring what infrastructure and strategies are necessary to support effective use of technology enabled learning (TEL) | 4 |
| 4 | 36 | |
| 5 | 13 | |
| 6 | The Físchlár-news-stories system: personalised access to an archive of TV news | 17 |
| 7 | 11 | |
| 8 | Mobile Access to the FíschlárNews Archive | 1 |
| 9 | 49 | |
| 10 | 24 | |
| 11 | 17 | |
| 12 | 9 | |
| 13 | 42 | |
| 14 | Dublin City University Video Track Experiments for TREC 2001 | 8 |
| 15 | Use of the Físchlár video library system | 2 |
| 16 | 19 | |
| 17 | Supporting Different Search Strategies in a Video Query Interface | 1 |
About Kieran McDonald
Kieran McDonald is a scholar working on Computer Vision and Pattern Recognition, Transportation and Signal Processing, having authored 17 papers that have together received 312 indexed citations. Recurring topics across this work include Video Analysis and Summarization (9 papers), Recommender Systems and Techniques (6 papers) and Multimedia Communication and Technology (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (152 citations), Computational Mathematics (4 citations) and Information Systems (144 citations). Kieran McDonald has collaborated with scholars based in Ireland, Australia and United States. Frequent co-authors include Alan F. Smeaton, Cathal Gurrin, Xing Xie, Nicholas Jing Yuan, Yu Sun, Barry Smyth, David C. Wilson, Rui Zhang, Hyowon Lee and Rui Zhang. Their work appears in journals such as ACM Transactions on Information Systems, User Modeling and User-Adapted Interaction and Research in Learning Technology.
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.