Pearl Pu
- Information Systems top 0.2%
- Artificial Intelligence top 0.5%
- Sociology and Political Science top 2%
- Computer Vision and Pattern Recognition top 1%
- Management Science and Operations Research top 1%
- Topics
- Recommender Systems and Techniques (43 papers)Data Management and Algorithms (24 papers)Constraint Satisfaction and Optimization (17 papers)
- Partner nations
- SwitzerlandUnited StatesHong Kong
In The Last Decade
Pearl Pu
144 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Information Systems 1.9k
- Artificial Intelligence 1.6k
- Sociology and Political Science 716
- Computer Vision and Pattern Recognition 693
- Management Science and Operations Research 543
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-authorship network of co-authors of Pearl Pu
This figure shows the co-authorship network connecting the top 25 collaborators of Pearl Pu. A scholar is included among the top collaborators of Pearl Pu 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 Pearl Pu. Pearl Pu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | Identifying a Motivational Profile for Older Adults Towards Increased Physical Activity | 1 |
| 5 | 51 | |
| 6 | Exploring Social Accountability for Pervasive Fitness Apps | 7 |
| 7 | Exploring Relations between Personality and User Rating Behaviors. | 14 |
| 8 | Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation | 18 |
| 9 | Helping Users Perceive Recommendation Diversity | 32 |
| 10 | User Evaluation Framework of Recommender Systems | 9 |
| 11 | Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems | 6 |
| 12 | Representative explanations for over-constrained problems | 36 |
| 13 | The lookahead principle for preference elicitation: Experimental results | 3 |
| 14 | Evaluating preference-based search tools: a tale of two approaches | 15 |
| 15 | Evaluating critiquing-based recommender agents | 53 |
| 16 | Agile Preference Models based on Soft Constraints | 2 |
| 17 | Stimulating preference expression using suggestions | 7 |
| 18 | 8 | |
| 19 | Human and machine collaboration in creative design | 3 |
| 20 | Applying Means-Ends Analysis to Spatial Planning | 0 |
About Pearl Pu
Pearl Pu is a scholar working on Human-Computer Interaction, Signal Processing and Information Systems, having authored 146 papers that have together received 3.8k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (43 papers), Data Management and Algorithms (24 papers) and Constraint Satisfaction and Optimization (17 papers). The work is most often cited by research in Information Systems (1.9k citations), Human-Computer Interaction (308 citations) and General Decision Sciences (103 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 Food Chemistry, The International Journal of Robotics Research and Computer.
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.