Ivan Titov
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
-
- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 67
- Natural Language Processing Techniques 61
- Speech and dialogue systems 11
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- Magnetic and transport properties of perovskites and related materials 11
- Magnetic Properties of Alloys 11
- Magnetic Properties and Applications 10
- Heusler alloys: electronic and magnetic properties 9
- Co-authors
- Ryan McDonald (2 shared papers)Diego Marcheggiani (4 shared papers)Rico Sennrich (9 shared papers)Elena Voita (5 shared papers)Alexandre Klementiev (8 shared papers)David Talbot (1 shared paper)Fédor Moiseev (1 shared paper)James Henderson (13 shared papers)
- Journals
- Physical review. B. (4 papers)Transactions of the Association for Computational Linguistics (3 papers)Journal of Magnetism and Magnetic Materials (3 papers)Computational Linguistics (2 papers)Journal of Applied Physics (2 papers)
- Partner nations
- United KingdomNetherlandsGermany
In The Last Decade
Ivan Titov
98 papers receiving 4.2k citations
Ivan Titov's Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 3.4k
- Computer Vision and Pattern Recognition 887
- Electronic, Optical and Magnetic Materials 485
- Information Systems 442
- General Social Sciences 62
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-authors
The 25 scholars most cited alongside Ivan Titov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Hit paper breakdown → | 2019 | 568 |
| 2 | Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling Hit paper breakdown → | 2017 | 517 |
| 3 | Modeling online reviews with multi-grain topic models Hit paper breakdown → | 2008 | 487 |
| 4 | A Joint Model of Text and Aspect Ratings for Sentiment Summarization Hit paper breakdown → | 2008 | 411 |
| 5 | 2013 | 230 | |
| 6 | Inducing Crosslingual Distributed Representations of Words | 2012 | 203 |
| 7 | 2011 | 187 | |
| 8 | 2018 | 160 | |
| 9 | 2018 | 115 | |
| 10 | 2018 | 114 | |
| 11 | 2012 | 88 | |
| 12 | 2019 | 74 | |
| 13 | 2019 | 61 | |
| 14 | 2019 | 49 | |
| 15 | A Bayesian Approach to Unsupervised Semantic Role Induction | 2012 | 47 |
| 16 | A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations | 2013 | 45 |
| 17 | 2021 | 44 | |
| 18 | 2019 | 41 | |
| 19 | 2015 | 39 | |
| 20 | A Bayesian Model for Unsupervised Semantic Parsing | 2011 | 36 |
About Ivan Titov
Ivan Titov is a scholar working on Artificial Intelligence, Electronic, Optical and Magnetic Materials, Materials Chemistry, Computer Vision and Pattern Recognition and Molecular Biology, having authored 106 papers that have together received 4.5k indexed citations. Recurring topics across this work include Topic Modeling (67 papers), Natural Language Processing Techniques (61 papers), Shape Memory Alloy Transformations (16 papers), Magnetic and transport properties of perovskites and related materials (11 papers), Speech and dialogue systems (11 papers), Magnetic Properties of Alloys (11 papers), Magnetic Properties and Applications (10 papers) and Heusler alloys: electronic and magnetic properties (9 papers). The work is most often cited by research in Artificial Intelligence (3.4k citations), Computer Vision and Pattern Recognition (887 citations), Electronic, Optical and Magnetic Materials (485 citations), Information Systems (442 citations) and General Social Sciences (62 citations). Ivan Titov has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Ryan McDonald, Diego Marcheggiani, Rico Sennrich, Elena Voita, Alexandre Klementiev, David Talbot, Fédor Moiseev, James Henderson, Binod Bhattarai and Phong Ba Le. Their work appears in journals such as Physical review. B., Transactions of the Association for Computational Linguistics, Journal of Magnetism and Magnetic Materials, Computational Linguistics and Journal of Applied Physics.
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.