Paramveer S. Dhillon
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Modeling and Simulation top 5%
- Co-authors
- Lyle UngarDean P. FosterSinan AralYichao LuDean EcklesChristos NicolaidesSebastian NowozinChristoph H. Lampert
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (6 papers)Text and Document Classification Technologies (6 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- United StatesCyprusIsrael
In The Last Decade
Paramveer S. Dhillon
43 papers receiving 777 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 364
- Computer Vision and Pattern Recognition 163
- Sociology and Political Science 123
- Statistical and Nonlinear Physics 96
- Modeling and Simulation 76
Countries citing papers authored by Paramveer S. Dhillon
This map shows the geographic impact of Paramveer S. Dhillon'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 Paramveer S. Dhillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paramveer S. Dhillon more than expected).
Fields of papers citing papers by Paramveer S. Dhillon
This network shows the impact of papers produced by Paramveer S. Dhillon. 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 Paramveer S. Dhillon. The network helps show where Paramveer S. Dhillon may publish in the future.
Co-authorship network of co-authors of Paramveer S. Dhillon
This figure shows the co-authorship network connecting the top 25 collaborators of Paramveer S. Dhillon. A scholar is included among the top collaborators of Paramveer S. Dhillon 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 Paramveer S. Dhillon. Paramveer S. Dhillon 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 | 2 | |
| 4 | 11 | |
| 5 | 19 | |
| 6 | 121 | |
| 7 | 29 | |
| 8 | Digital Paywall Design: Implications for Content Demand & Subscriptions | 2 |
| 9 | Is deep learning a game changer for marketing analytics | 14 |
| 10 | 69 | |
| 11 | Eigenwords: spectral word embeddings | 43 |
| 12 | 12 | |
| 13 | 21 | |
| 14 | Metric Learning for Graph-Based Domain Adaptation | 4 |
| 15 | Using CCA to improve CCA: A new spectral method for estimating vector models of words. | 2 |
| 16 | Deterministic Annealing for Semi-Supervised Structured Output Learning | 5 |
| 17 | 13 | |
| 18 | Feature Selection using Multiple Streams | 6 |
| 19 | Learning Better Data Representation Using Inference-Driven Metric Learning | 7 |
| 20 | Real- Time Monocular Face Tracking Using an Active Camera | 1 |
About Paramveer S. Dhillon
Paramveer S. Dhillon is a scholar working on Health Informatics, Artificial Intelligence and Marketing, having authored 45 papers that have together received 814 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Computational Mathematics (11 citations), Modeling and Simulation (76 citations) and Artificial Intelligence (364 citations). Paramveer S. Dhillon has collaborated with scholars based in United States, Cyprus and Israel. Frequent co-authors include Lyle Ungar, Dean P. Foster, Sinan Aral, Yichao Lu, Dean Eckles, Christos Nicolaides, Sebastian Nowozin, Christoph H. Lampert, Yunhao Zhang and James C. Gee. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.
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.