Emmanuele Chersoni
- Artificial Intelligence top 5%
- Cognitive Neuroscience
- Experimental and Cognitive Psychology
- Molecular Biology
- Information Systems
- Co-authors
- Enrico SantusChu‐Ren HuangAlessandro LenciRong XiangPhilippe BlacheGiuseppe SerraQin LuNora Hollenstein
- Topics
- Topic Modeling (39 papers)Natural Language Processing Techniques (33 papers)Text Readability and Simplification (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessFrontiers in Psychology
- Partner nations
- Hong KongUnited StatesItaly
In The Last Decade
Emmanuele Chersoni
45 papers receiving 312 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 226
- Cognitive Neuroscience 57
- Experimental and Cognitive Psychology 34
- Molecular Biology 31
- Information Systems 17
Countries citing papers authored by Emmanuele Chersoni
This map shows the geographic impact of Emmanuele Chersoni'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 Emmanuele Chersoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuele Chersoni more than expected).
Fields of papers citing papers by Emmanuele Chersoni
This network shows the impact of papers produced by Emmanuele Chersoni. 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 Emmanuele Chersoni. The network helps show where Emmanuele Chersoni may publish in the future.
Co-authorship network of co-authors of Emmanuele Chersoni
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuele Chersoni. A scholar is included among the top collaborators of Emmanuele Chersoni 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 Emmanuele Chersoni. Emmanuele Chersoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 26 | |
| 18 | Are word embeddings really a bad fit for the estimation of thematic fit | 2 |
| 19 | Automatic learning of modality exclusivity norms with crosslingual word embeddings | 4 |
| 20 | Ciron : a new benchmark dataset for Chinese irony detection | 3 |
About Emmanuele Chersoni
Emmanuele Chersoni is a scholar working on Artificial Intelligence, Health Informatics and Cognitive Neuroscience, having authored 54 papers that have together received 326 indexed citations. Recurring topics across this work include Topic Modeling (39 papers), Natural Language Processing Techniques (33 papers) and Text Readability and Simplification (12 papers). The work is most often cited by research in Health Informatics (12 citations), Artificial Intelligence (226 citations) and Aging (6 citations). Emmanuele Chersoni has collaborated with scholars based in Hong Kong, United States and Italy. Frequent co-authors include Enrico Santus, Chu‐Ren Huang, Alessandro Lenci, Rong Xiang, Philippe Blache, Giuseppe Serra, Qin Lu, Nora Hollenstein, Wenjie Li and Cassandra L. Jacobs. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Psychology.
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.