Julian McAuley
- Artificial Intelligence top 0.05%
- Information Systems top 0.02%
- Computer Vision and Pattern Recognition top 0.2%
- Management Science and Operations Research top 0.2%
- Statistical and Nonlinear Physics top 0.5%
- Co-authors
- Jure LeskovecWang-Cheng KangRuining HeAnton van den HengelQinfeng ShiJianmo NiJiacheng LiRahul Pandey
- Topics
- Topic Modeling (70 papers)Recommender Systems and Techniques (62 papers)Advanced Graph Neural Networks (27 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersPLoS ONE
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Julian McAuley
185 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 7.2k
- Information Systems 6.3k
- Computer Vision and Pattern Recognition 3.0k
- Management Science and Operations Research 1.4k
- Statistical and Nonlinear Physics 1.4k
Countries citing papers authored by Julian McAuley
This map shows the geographic impact of Julian McAuley'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 Julian McAuley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian McAuley more than expected).
Fields of papers citing papers by Julian McAuley
This network shows the impact of papers produced by Julian McAuley. 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 Julian McAuley. The network helps show where Julian McAuley may publish in the future.
Co-authorship network of co-authors of Julian McAuley
This figure shows the co-authorship network connecting the top 25 collaborators of Julian McAuley. A scholar is included among the top collaborators of Julian McAuley 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 Julian McAuley. Julian McAuley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 0 | |
| 10 | 59 | |
| 11 | 25 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 24 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspectsbreakdown → | 626 |
| 19 | 145 | |
| 20 | Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendationbreakdown → | 401 |
About Julian McAuley
Julian McAuley is a scholar working on Artificial Intelligence, Health Informatics and Information Systems, having authored 203 papers that have together received 11.5k indexed citations. Recurring topics across this work include Topic Modeling (70 papers), Recommender Systems and Techniques (62 papers) and Advanced Graph Neural Networks (27 papers). The work is most often cited by research in Information Systems (6.3k citations), Artificial Intelligence (7.2k citations) and Computer Vision and Pattern Recognition (3.0k citations). Julian McAuley has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Jure Leskovec, Wang-Cheng Kang, Ruining He, Anton van den Hengel, Qinfeng Shi, Jianmo Ni, Jiacheng Li, Rahul Pandey, Mengting Wan and Tibério S. Caetano. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.
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.