Pearl Pu
Impact in
- Information Systems top 0.2%
- Recommender Systems and Techniques
- General Decision Sciences top 5%
Papers in
-
- Advanced Text Analysis Techniques 15
- Sentiment Analysis and Opinion Mining 11
-
- Recommender Systems and Techniques 43
- Co-authors
- Li Chen (21 shared papers)Rong Hu (10 shared papers)Boi Faltings (11 shared papers)Boi Faltings (17 shared papers)Jiyong Zhang (14 shared papers)Yu Chen (6 shared papers)Paolo Viappiani (11 shared papers)Marc Torrens (8 shared papers)
- Journals
- AI Magazine (4 papers)User Modeling and User-Adapted Interaction (4 papers)Knowledge-Based Systems (2 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)Constraints (2 papers)
- Partner nations
- SwitzerlandUnited StatesHong Kong
In The Last Decade
Pearl Pu
144 papers receiving 3.6k citations
Pearl Pu's Hit Papers
Peers
Comparison fields: 5 of 119
- Information Systems 1.9k
- General Decision Sciences 104
- Human-Computer Interaction 304
- Computer Science Applications 271
- Artificial Intelligence 1.6k
Countries citing papers authored by Pearl Pu
This map shows the geographic impact of Pearl Pu'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 Pearl Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pearl Pu more than expected).
Fields of papers citing papers by Pearl Pu
This network shows the impact of papers produced by Pearl Pu. 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 Pearl Pu. The network helps show where Pearl Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pearl Pu, 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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A user-centric evaluation framework for recommender systems Hit paper breakdown → | 2011 | 558 |
| 2 | 2012 | 233 | |
| 3 | 2006 | 182 | |
| 4 | 2011 | 177 | |
| 5 | 2007 | 161 | |
| 6 | Survey of Preference Elicitation Methods | 2004 | 122 |
| 7 | 2014 | 117 | |
| 8 | 2011 | 99 | |
| 9 | 2006 | 70 | |
| 10 | 2000 | 66 | |
| 11 | 2014 | 61 | |
| 12 | 2009 | 56 | |
| 13 | 2008 | 56 | |
| 14 | 2020 | 54 | |
| 15 | 2013 | 54 | |
| 16 | Evaluating critiquing-based recommender agents | 2006 | 53 |
| 17 | 2004 | 49 | |
| 18 | 2002 | 48 | |
| 19 | 2008 | 46 | |
| 20 | 2005 | 46 |
About Pearl Pu
Pearl Pu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science, having authored 147 papers that have together received 3.9k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (43 papers), Data Management and Algorithms (24 papers), Constraint Satisfaction and Optimization (17 papers), Advanced Text Analysis Techniques (15 papers), Innovative Human-Technology Interaction (14 papers), Data Visualization and Analytics (12 papers), Digital Marketing and Social Media (12 papers) and Sentiment Analysis and Opinion Mining (11 papers). The work is most often cited by research in Information Systems (1.9k citations), General Decision Sciences (104 citations), Human-Computer Interaction (304 citations), Computer Science Applications (271 citations) and Artificial Intelligence (1.6k citations). Pearl Pu has collaborated with scholars based in Switzerland, United States and Hong Kong. Frequent co-authors include Li Chen, Rong Hu, Boi Faltings, Boi Faltings, Jiyong Zhang, Yu Chen, Paolo Viappiani, Marc Torrens, Lionel Martin and Pratyush Kumar. Their work appears in journals such as AI Magazine, User Modeling and User-Adapted Interaction, Knowledge-Based Systems, ACM Transactions on Intelligent Systems and Technology and Constraints.
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.