Pushpendre Rastogi
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
- Speech and dialogue systems
Papers in
-
- Topic Modeling 12
- Natural Language Processing Techniques 11
- Speech and dialogue systems 3
- Semantic Web and Ontologies 3
- Text Readability and Simplification 2
- Advanced Graph Neural Networks 2
- Bayesian Modeling and Causal Inference 1
- Co-authors
- Benjamin Van Durme (11 shared papers)Ellie Pavlick (2 shared papers)Chris Callison-Burch (2 shared papers)Juri Ganitkevitch (1 shared paper)Raman Arora (1 shared paper)Rachel Rudinger (1 shared paper)Francis Ferraro (1 shared paper)Jason Eisner (1 shared paper)
- Journals
- Information Retrieval (1 paper)Apollo (University of Cambridge) (1 paper)International ACM SIGIR Conference on Research and Development in Information Retrieval (2 papers)International Joint Conference on Natural Language Processing (1 paper)
- Partner nations
- United StatesGreece
In The Last Decade
Pushpendre Rastogi
15 papers receiving 397 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 401
- Computational Mathematics 3
- Computer Vision and Pattern Recognition 77
- Health Informatics 3
- Signal Processing 19
Countries citing papers authored by Pushpendre Rastogi
This map shows the geographic impact of Pushpendre Rastogi'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 Pushpendre Rastogi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushpendre Rastogi more than expected).
Fields of papers citing papers by Pushpendre Rastogi
This network shows the impact of papers produced by Pushpendre Rastogi. 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 Pushpendre Rastogi. The network helps show where Pushpendre Rastogi may publish in the future.
Co-authors
The 21 scholars most cited alongside Pushpendre Rastogi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 184 | |
| 2 | 2015 | 61 | |
| 3 | 2015 | 54 | |
| 4 | 2016 | 31 | |
| 5 | Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework | 2017 | 30 |
| 6 | 2015 | 24 | |
| 7 | 2017 | 12 | |
| 8 | 2018 | 7 | |
| 9 | 2019 | 7 | |
| 10 | 2016 | 6 | |
| 11 | 2014 | 5 | |
| 12 | Training Relation Embeddings under Logical Constraints. | 2017 | 3 |
| 13 | Predicting Asymmetric Transitive Relations in Knowledge Bases. | 2017 | 1 |
| 14 | 2014 | 1 | |
| 15 | Contextual Query Rewriting (CQR): Natural Language as interface for Dialog State Tracking | 2019 | 1 |
About Pushpendre Rastogi
Pushpendre Rastogi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Communication, Information Systems and Finance, having authored 15 papers that have together received 427 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers), Speech and dialogue systems (3 papers), Semantic Web and Ontologies (3 papers), Text Readability and Simplification (2 papers), Advanced Graph Neural Networks (2 papers), Stochastic processes and financial applications (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Artificial Intelligence (401 citations), Computational Mathematics (3 citations), Computer Vision and Pattern Recognition (77 citations), Health Informatics (3 citations) and Signal Processing (19 citations). Pushpendre Rastogi has collaborated with scholars based in United States and Greece. Frequent co-authors include Benjamin Van Durme, Ellie Pavlick, Chris Callison-Burch, Juri Ganitkevitch, Raman Arora, Rachel Rudinger, Francis Ferraro, Jason Eisner, Ryan Cotterell and Kevin Duh. Their work appears in journals such as Information Retrieval, Apollo (University of Cambridge), International ACM SIGIR Conference on Research and Development in Information Retrieval and International Joint Conference on Natural Language Processing.
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.