Radu Soricut
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 5%
- Molecular Biology
- Language and Linguistics top 10%
- Co-authors
- Nan DingPiyush SharmaSebastian GoodmanDaniel MarcuEric BrillLucia SpeciaMatt PostPhilipp Koehn
- Topics
- Natural Language Processing Techniques (27 papers)Topic Modeling (25 papers)Multimodal Machine Learning Applications (17 papers)
- Journals
- Information Processing & ManagementComputer Vision and Image UnderstandingTransactions of the Association for Computational Linguistics
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Radu Soricut
42 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 1.2k
- Information Systems 187
- Molecular Biology 69
- Language and Linguistics 45
Countries citing papers authored by Radu Soricut
This map shows the geographic impact of Radu Soricut'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 Radu Soricut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Soricut more than expected).
Fields of papers citing papers by Radu Soricut
This network shows the impact of papers produced by Radu Soricut. 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 Radu Soricut. The network helps show where Radu Soricut may publish in the future.
Co-authorship network of co-authors of Radu Soricut
This figure shows the co-authorship network connecting the top 25 collaborators of Radu Soricut. A scholar is included among the top collaborators of Radu Soricut 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 Radu Soricut. Radu Soricut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 66 | |
| 6 | 19 | |
| 7 | 25 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | Weakly Supervised Content Selection for Improved Image Captioning | 1 |
| 11 | Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioningbreakdown → | 1004 |
| 12 | Cold-Start Reinforcement Learning with Softmax Policy Gradients | 7 |
| 13 | 335 | |
| 14 | Findings of the 2013 Workshop on Statistical Machine Translation | 179 |
| 15 | Proceedings of the Eighth Workshop on Statistical Machine Translation | 6 |
| 16 | Proceedings of the Seventh Workshop on Statistical Machine Translation | 30 |
| 17 | 27 | |
| 18 | Natural language generation for text-to-text applications using an information-slim representation | 2 |
| 19 | Automatic Question Answering: Beyond the Factoid. | 68 |
| 20 | GLEANS: A Generator of Logical Extracts and Abstracts for Nice Summaries | 5 |
About Radu Soricut
Radu Soricut is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geography, Planning and Development, having authored 42 papers that have together received 2.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (25 papers) and Multimodal Machine Learning Applications (17 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (1.2k citations) and Information Systems (187 citations). Radu Soricut has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Nan Ding, Piyush Sharma, Sebastian Goodman, Daniel Marcu, Eric Brill, Lucia Specia, Matt Post, Philipp Koehn, Christof Monz and Ondřej Bojar. Their work appears in journals such as Information Processing & Management, Computer Vision and Image Understanding and Transactions of the Association for Computational Linguistics.
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.