Patrick Pantel
About
In The Last Decade
Patrick Pantel
71 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 5.3k
- Information Systems 1.4k
- Computer Vision and Pattern Recognition 490
- Molecular Biology 480
- Management Science and Operations Research 401
Countries citing papers authored by Patrick Pantel
This map shows the geographic impact of Patrick Pantel'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 Patrick Pantel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Pantel more than expected).
Fields of papers citing papers by Patrick Pantel
This network shows the impact of papers produced by Patrick Pantel. 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 Patrick Pantel. The network helps show where Patrick Pantel may publish in the future.
Co-authorship network of co-authors of Patrick Pantel
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Pantel. A scholar is included among the top collaborators of Patrick Pantel 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 Patrick Pantel. Patrick Pantel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Representing Text for Joint Embedding of Text and Knowledge Bases breakdown → | 401 |
| 2 | Predicting Responses to Microblog Posts | 61 |
| 3 | Mining Entity Types from Query Logs via User Intent Modeling | 34 |
| 4 | Underspecified Query Refinement via Natural Language Question Generation | 6 |
| 5 | Automatically Building Training Examples for Entity Extraction | 1 |
| 6 | Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts of ACL 2011 | 7 |
| 7 | FactRank: Random Walks on a Web of Facts | 11 |
| 8 | Explaining Similarity of Terms | 3 |
| 9 | ISP: Learning Inferential Selectional Preferences | 66 |
| 10 | The Domain Restriction Hypothesis: Relating Term Similarity and Semantic Consistency | 6 |
| 11 | LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules | 43 |
| 12 | Alias Detection in Malicious Environments. | 6 |
| 13 | 10 | |
| 14 | Proceedings of the 3rd international workshop on Link discovery | 89 |
| 15 | An information theoretic model for database alignment | 6 |
| 16 | Automatically Labeling Semantic Classes | 165 |
| 17 | Towards Terascale Semantic Acquisition. | 4 |
| 18 | VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations | 272 |
| 19 | Word-for-word glossing with contextually similar words | 9 |
| 20 | SpamCop: A Spam Classification & Organisation Program | 50 |
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.