Claudiu Musat
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Statistical and Nonlinear Physics
- Sociology and Political Science
- Co-authors
- Michael BaeriswylTheus HossmannMartin JaggiPearl PuMathieu SalzmannKaicheng YuAthanasios GiannakopoulosBoi Faltings
- Topics
- Topic Modeling (11 papers)Sentiment Analysis and Opinion Mining (10 papers)Advanced Text Analysis Techniques (8 papers)
- Partner nations
- SwitzerlandFranceAustralia
In The Last Decade
Claudiu Musat
18 papers receiving 321 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 303
- Computer Vision and Pattern Recognition 78
- Information Systems 54
- Statistical and Nonlinear Physics 22
- Sociology and Political Science 15
Countries citing papers authored by Claudiu Musat
This map shows the geographic impact of Claudiu Musat'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 Claudiu Musat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudiu Musat more than expected).
Fields of papers citing papers by Claudiu Musat
This network shows the impact of papers produced by Claudiu Musat. 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 Claudiu Musat. The network helps show where Claudiu Musat may publish in the future.
Co-authorship network of co-authors of Claudiu Musat
This figure shows the co-authorship network connecting the top 25 collaborators of Claudiu Musat. A scholar is included among the top collaborators of Claudiu Musat 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 Claudiu Musat. Claudiu Musat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | Evaluating The Search Phase of Neural Architecture Search | 55 |
| 4 | T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing. | 2 |
| 5 | 7 | |
| 6 | Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German | 2 |
| 7 | 5 | |
| 8 | 9 | |
| 9 | EmbedRank: Unsupervised Keyphrase Extraction using Sentence Embeddings. | 13 |
| 10 | 120 | |
| 11 | 11 | |
| 12 | Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German | 3 |
| 13 | 39 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 23 | |
| 17 | 4 | |
| 18 | Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation | 18 |
| 19 | A novel human computation game for critique aggregation | 4 |
| 20 | 12 |
About Claudiu Musat
Claudiu Musat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 20 papers that have together received 343 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (10 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (303 citations), Computer Vision and Pattern Recognition (78 citations) and Information Systems (54 citations). Claudiu Musat has collaborated with scholars based in Switzerland, France and Australia. Frequent co-authors include Michael Baeriswyl, Theus Hossmann, Martin Jaggi, Pearl Pu, Mathieu Salzmann, Kaicheng Yu, Athanasios Giannakopoulos, Boi Faltings, Alireza Ghasemi and Robert West. Their work appears in journals such as Neurocomputing, Archives of Oral Biology and Language Resources and Evaluation.
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.