Barry Smyth
Impact in
- Information Systems top 0.05%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Artificial Intelligence top 0.2%
- Topic Modeling
- AI-based Problem Solving and Planning
Papers in
-
- Recommender Systems and Techniques 119
- Web Data Mining and Analysis 50
- Information Retrieval and Search Behavior 42
- Expert finding and Q&A systems 23
-
- Topic Modeling 26
- AI-based Problem Solving and Planning 21
- Advanced Text Analysis Techniques 15
- Co-authors
- John O’Donovan (9 shared papers)Kevin McCarthy (29 shared papers)Michael P. O’Mahony (33 shared papers)Paul Cotter (12 shared papers)Lorraine McGinty (18 shared papers)Karen Church (11 shared papers)Pádraig Cunningham (21 shared papers)Ruihai Dong (19 shared papers)
- Journals
- Knowledge-Based Systems (9 papers)Artificial Intelligence Review (7 papers)Communications of the ACM (6 papers)User Modeling and User-Adapted Interaction (4 papers)IEEE Access (3 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Barry Smyth
279 papers receiving 7.1k citations
Barry Smyth's Hit Papers
Peers
Comparison fields: 5 of 149
- Information Systems 4.3k
- Artificial Intelligence 3.1k
- Computer Science Applications 436
- Information Systems and Management 419
- Computer Vision and Pattern Recognition 1.2k
Countries citing papers authored by Barry Smyth
This map shows the geographic impact of Barry Smyth'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 Barry Smyth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry Smyth more than expected).
Fields of papers citing papers by Barry Smyth
This network shows the impact of papers produced by Barry Smyth. 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 Barry Smyth. The network helps show where Barry Smyth may publish in the future.
Co-authors
The 25 scholars most cited alongside Barry Smyth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 286 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Trust in recommender systems Hit paper breakdown → | 2005 | 562 |
| 2 | 2005 | 342 | |
| 3 | 2010 | 302 | |
| 4 | 2009 | 277 | |
| 5 | 2009 | 151 | |
| 6 | 2020 | 147 | |
| 7 | Improving recommendation diversity | 2001 | 143 |
| 8 | 2005 | 134 | |
| 9 | 2009 | 121 | |
| 10 | 2008 | 121 | |
| 11 | The power of suggestion | 2003 | 120 |
| 12 | 2007 | 116 | |
| 13 | 2004 | 112 | |
| 14 | 1995 | 112 | |
| 15 | 2000 | 108 | |
| 16 | 2010 | 106 | |
| 17 | 2018 | 101 | |
| 18 | 2010 | 100 | |
| 19 | 2008 | 84 | |
| 20 | 2018 | 84 |
About Barry Smyth
Barry Smyth is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science, having authored 286 papers that have together received 7.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (119 papers), Web Data Mining and Analysis (50 papers), Information Retrieval and Search Behavior (42 papers), Topic Modeling (26 papers), Expert finding and Q&A systems (23 papers), Video Analysis and Summarization (21 papers), AI-based Problem Solving and Planning (21 papers) and Advanced Text Analysis Techniques (15 papers). The work is most often cited by research in Information Systems (4.3k citations), Artificial Intelligence (3.1k citations), Computer Science Applications (436 citations), Information Systems and Management (419 citations) and Computer Vision and Pattern Recognition (1.2k citations). Barry Smyth has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include John O’Donovan, Kevin McCarthy, Michael P. O’Mahony, Paul Cotter, Lorraine McGinty, Karen Church, Pádraig Cunningham, Ruihai Dong, Mark T. Keane and John Hannon. Their work appears in journals such as Knowledge-Based Systems, Artificial Intelligence Review, Communications of the ACM, User Modeling and User-Adapted Interaction and IEEE Access.
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.