Emily Pitler
About
In The Last Decade
Emily Pitler
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 153
- Information Systems 143
- Molecular Biology 58
- Developmental and Educational Psychology 33
Countries citing papers authored by Emily Pitler
This map shows the geographic impact of Emily Pitler'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 Emily Pitler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Pitler more than expected).
Fields of papers citing papers by Emily Pitler
This network shows the impact of papers produced by Emily Pitler. 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 Emily Pitler. The network helps show where Emily Pitler may publish in the future.
Co-authorship network of co-authors of Emily Pitler
This figure shows the co-authorship network connecting the top 25 collaborators of Emily Pitler. A scholar is included among the top collaborators of Emily Pitler 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 Emily Pitler. Emily Pitler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 76 | |
| 3 | 108 | |
| 4 | 46 | |
| 5 | 10 | |
| 6 | Generalized Transition-based Dependency Parsing | 1 |
| 7 | 4 | |
| 8 | Models for improved tractability and accuracy in dependency parsing | 2 |
| 9 | 34 | |
| 10 | Attacking Parsing Bottlenecks with Unlabeled Data and Relevant Factorizations | 4 |
| 11 | Proceedings of the ACL 2011 Student Session | 24 |
| 12 | Structural features for predicting the linguistic quality of text: applications to machine translation, automatic summarization and human-authored text | 13 |
| 13 | 6 | |
| 14 | Creating Robust Supervised Classifiers via Web-Scale N-Gram Data | 25 |
| 15 | New Tools for Web-Scale N-grams | 47 |
| 16 | 193 | |
| 17 | 176 | |
| 18 | Easily Identifiable Discourse Relations | 95 |
| 19 | 257 | |
| 20 | Revisiting Readability: A Unified Framework for Predicting Text Quality | 79 |
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.