Slav Petrov
About
In The Last Decade
Slav Petrov
43 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 4.7k
- Computer Vision and Pattern Recognition 821
- Information Systems 396
- Molecular Biology 247
- Language and Linguistics 159
Countries citing papers authored by Slav Petrov
This map shows the geographic impact of Slav Petrov'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 Slav Petrov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Slav Petrov more than expected).
Fields of papers citing papers by Slav Petrov
This network shows the impact of papers produced by Slav Petrov. 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 Slav Petrov. The network helps show where Slav Petrov may publish in the future.
Co-authorship network of co-authors of Slav Petrov
This figure shows the co-authorship network connecting the top 25 collaborators of Slav Petrov. A scholar is included among the top collaborators of Slav Petrov 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 Slav Petrov. Slav Petrov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | CoNLL 2018 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies | 96 |
| 3 | Universal Dependencies v1: A Multilingual Treebank Collection breakdown → | 575 |
| 4 | 39 | |
| 5 | Universal Dependency Annotation for Multilingual Parsing | 260 |
| 6 | Syntactic Annotations for the Google Books NGram Corpus | 205 |
| 7 | Using Search-Logs to Improve Query Tagging | 18 |
| 8 | Efficient Parallel CKY Parsing on GPUs | 12 |
| 9 | Multi-Source Transfer of Delexicalized Dependency Parsers | 182 |
| 10 | Training a Parser for Machine Translation Reordering | 35 |
| 11 | Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections | 158 |
| 12 | Uptraining for Accurate Deterministic Question Parsing | 47 |
| 13 | Products of Random Latent Variable Grammars | 55 |
| 14 | Learning Better Monolingual Models with Unannotated Bilingual Text | 29 |
| 15 | Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models | 84 |
| 16 | Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs | 5 |
| 17 | The Infinite PCFG Using Hierarchical Dirichlet Processes | 114 |
| 18 | Discriminative Log-Linear Grammars with Latent Variables | 52 |
| 19 | Learning Structured Models for Phone Recognition | 11 |
| 20 | Improved Inference for Unlexicalized Parsing breakdown → | 427 |
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.