Ivan Titov
About
In The Last Decade
Ivan Titov
98 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 3.4k
- Computer Vision and Pattern Recognition 887
- Electronic, Optical and Magnetic Materials 485
- Materials Chemistry 482
- Information Systems 442
Countries citing papers authored by Ivan Titov
This map shows the geographic impact of Ivan Titov'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 Ivan Titov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Titov more than expected).
Fields of papers citing papers by Ivan Titov
This network shows the impact of papers produced by Ivan Titov. 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 Ivan Titov. The network helps show where Ivan Titov may publish in the future.
Co-authorship network of co-authors of Ivan Titov
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Titov. A scholar is included among the top collaborators of Ivan Titov 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 Ivan Titov. Ivan Titov 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 44 | |
| 6 | 3 | |
| 7 | 74 | |
| 8 | 115 | |
| 9 | 3 | |
| 10 | Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling breakdown → | 517 |
| 11 | 8 | |
| 12 | A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations | 45 |
| 13 | A Bayesian Approach to Unsupervised Semantic Role Induction | 47 |
| 14 | Semi-Supervised Semantic Role Labeling: Approaching from an Unsupervised Perspective | 6 |
| 15 | A Bayesian Model for Unsupervised Semantic Parsing | 36 |
| 16 | Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure | 3 |
| 17 | Incremental Sigmoid Belief Networks for Grammar Learning | 7 |
| 18 | Unsupervised rank aggregation with domain-specific expertise | 27 |
| 19 | Online graph planarisation for synchronous parsing of semantic and syntactic dependencies | 32 |
| 20 | Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model | 29 |
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.