Bhaskar Mehta
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
Papers in
-
- Recommender Systems and Techniques 9
- Spam and Phishing Detection 3
-
- Advanced Bandit Algorithms Research 3
- Co-authors
- Wolfgang NejdlThomas HofmannPéter FankhauserManish GuptaSaurabh NangiaRalf KrestelIngo BrunkhorstNicola Henze
- Journals
- User Modeling and User-Adapted Interaction (1 paper)DuEPublico (University of Duisburg-Essen) (1 paper)National Conference on Artificial Intelligence (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (3 papers)IEEE Data(base) Engineering Bulletin (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Bhaskar Mehta
12 papers receiving 512 citations
Peers
Comparison fields: 5 of 34
- Information Systems 473
- Artificial Intelligence 300
- Management Science and Operations Research 79
- Computer Networks and Communications 126
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Bhaskar Mehta
This map shows the geographic impact of Bhaskar Mehta'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 Bhaskar Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhaskar Mehta more than expected).
Fields of papers citing papers by Bhaskar Mehta
This network shows the impact of papers produced by Bhaskar Mehta. 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 Bhaskar Mehta. The network helps show where Bhaskar Mehta may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Bhaskar Mehta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cross System Personalization: Enabling personalization across multiple systems | 2009 | 4 |
| 2 | 2008 | 19 | |
| 3 | 2008 | 63 | |
| 4 | 2008 | 73 | |
| 5 | 2008 | 2 | |
| 6 | 2008 | 127 | |
| 7 | Unsupervised shilling detection for collaborative filtering | 2007 | 52 |
| 8 | 2007 | 110 | |
| 9 | 2007 | 84 | |
| 10 | Personal Information Systems in the Semantic Web - Lesson Learnt and Best Practices | 2007 | 1 |
| 11 | Cross system personalization by learning manifold alignments | 2006 | 4 |
| 12 | Cross System Personalization by Factor Analysis | 2006 | 3 |
About Bhaskar Mehta
Bhaskar Mehta is a scholar working on Information Systems, Management Science and Operations Research, Artificial Intelligence, Computer Science Applications and Human-Computer Interaction, having authored 12 papers that have together received 542 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Spam and Phishing Detection (3 papers), Data Stream Mining Techniques (3 papers), Advanced Bandit Algorithms Research (3 papers), Multimedia Communication and Technology (2 papers), Usability and User Interface Design (1 paper), Peer-to-Peer Network Technologies (1 paper) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Information Systems (473 citations), Artificial Intelligence (300 citations), Management Science and Operations Research (79 citations), Computer Networks and Communications (126 citations) and Computer Vision and Pattern Recognition (94 citations). Bhaskar Mehta has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Wolfgang Nejdl, Thomas Hofmann, Péter Fankhauser, Manish Gupta, Saurabh Nangia, Ralf Krestel, Ingo Brunkhorst and Nicola Henze. Their work appears in journals such as User Modeling and User-Adapted Interaction, DuEPublico (University of Duisburg-Essen), National Conference on Artificial Intelligence, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and IEEE Data(base) Engineering Bulletin.
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.