Maxime Peyrard
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Molecular Biology
- Management Science and Operations Research
- Co-authors
- Yang GaoSteffen EgerWei ZhaoChristian M. MeyerFei LiuJudith Eckle‐KohlerIryna GurevychRobert West
- Topics
- Topic Modeling (22 papers)Natural Language Processing Techniques (21 papers)Advanced Text Analysis Techniques (10 papers)
- Journals
- Language Resources and EvaluationInfoscience (Ecole Polytechnique Fédérale de Lausanne)arXiv (Cornell University)
- Partner nations
- GermanySwitzerlandFrance
In The Last Decade
Maxime Peyrard
25 papers receiving 563 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 557
- Computer Vision and Pattern Recognition 88
- Information Systems 57
- Molecular Biology 32
- Management Science and Operations Research 18
Countries citing papers authored by Maxime Peyrard
This map shows the geographic impact of Maxime Peyrard'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 Maxime Peyrard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Peyrard more than expected).
Fields of papers citing papers by Maxime Peyrard
This network shows the impact of papers produced by Maxime Peyrard. 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 Maxime Peyrard. The network helps show where Maxime Peyrard may publish in the future.
Co-authorship network of co-authors of Maxime Peyrard
This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Peyrard. A scholar is included among the top collaborators of Maxime Peyrard 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 Maxime Peyrard. Maxime Peyrard 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 | 0 | |
| 3 | 19 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 25 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 32 | |
| 13 | 32 | |
| 14 | MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distancebreakdown → | 274 |
| 15 | Live Blog Corpus for Summarization | 3 |
| 16 | 6 | |
| 17 | 4 | |
| 18 | The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach | 11 |
| 19 | A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence | 20 |
| 20 | 13 |
About Maxime Peyrard
Maxime Peyrard is a scholar working on Artificial Intelligence, General Social Sciences and Communication, having authored 27 papers that have together received 597 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (557 citations), Computer Vision and Pattern Recognition (88 citations) and General Social Sciences (11 citations). Maxime Peyrard has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Yang Gao, Steffen Eger, Wei Zhao, Christian M. Meyer, Fei Liu, Judith Eckle‐Kohler, Iryna Gurevych, Robert West, Martin Josifoski and Nicola De Cao. Their work appears in journals such as Language Resources and Evaluation, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and arXiv (Cornell University).
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.