Bamshad Mobasher
About
In The Last Decade
Bamshad Mobasher
175 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Information Systems 7.8k
- Artificial Intelligence 4.0k
- Computer Networks and Communications 2.0k
- Computer Vision and Pattern Recognition 1.6k
- Signal Processing 1.5k
Countries citing papers authored by Bamshad Mobasher
This map shows the geographic impact of Bamshad Mobasher'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 Bamshad Mobasher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bamshad Mobasher more than expected).
Fields of papers citing papers by Bamshad Mobasher
This network shows the impact of papers produced by Bamshad Mobasher. 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 Bamshad Mobasher. The network helps show where Bamshad Mobasher may publish in the future.
Co-authorship network of co-authors of Bamshad Mobasher
This figure shows the co-authorship network connecting the top 25 collaborators of Bamshad Mobasher. A scholar is included among the top collaborators of Bamshad Mobasher 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 Bamshad Mobasher. Bamshad Mobasher 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 | Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. | 3 |
| 4 | User Segmentation for Controlling Recommendation Diversity. | 3 |
| 5 | Meta-Path Selection for Extended Multi-Relational Matrix Factorization | 4 |
| 6 | Incorporating context correlation into context-aware matrix factorization | 13 |
| 7 | 42 | |
| 8 | 10 | |
| 9 | 28 | |
| 10 | 4 | |
| 11 | A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms. | 43 |
| 12 | Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis | 82 |
| 13 | Crawling Attacks Against Web-based Recommender Systems. | 3 |
| 14 | Intelligent Techniques for Web Personalization | 1 |
| 15 | Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis | 3 |
| 16 | Securing collaborative filtering against malicious attacks through anomaly detection | 56 |
| 17 | Advances in Web Mining and Web Usage Analysis: 6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004Seattle, WA, USA, August 22-25, ... Papers (Lecture Notes in Computer Science) | 1 |
| 18 | Model-based collaborative filtering as a defense against profile injection attacks | 91 |
| 19 | 12 | |
| 20 | Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. | 77 |
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.