Martin Gleize
- Co-authors
- Leshem ChoshenNoam SlonimEyal ShnarchRanit AharonovLena DankinYufang HouCharles JochimGuy Moshkowich
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (4 papers)Health Policy Implementation Science (2 papers)
- Journals
- Language Resources and EvaluationStudies in health technology and informaticsLangages
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Martin Gleize
10 papers receiving 98 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 83
- Information Systems 23
- Molecular Biology 12
- Health 7
- General Health Professions 7
Countries citing papers authored by Martin Gleize
This map shows the geographic impact of Martin Gleize'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 Martin Gleize with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Gleize more than expected).
Fields of papers citing papers by Martin Gleize
This network shows the impact of papers produced by Martin Gleize. 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 Martin Gleize. The network helps show where Martin Gleize may publish in the future.
Co-authorship network of co-authors of Martin Gleize
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Gleize. A scholar is included among the top collaborators of Martin Gleize 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 Martin Gleize. Martin Gleize 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 | 17 | |
| 3 | 1 | |
| 4 | Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data. | 14 |
| 5 | HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports. | 1 |
| 6 | Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation. | 1 |
| 7 | 6 | |
| 8 | 33 | |
| 9 | 31 | |
| 10 | 1 | |
| 11 | Selecting Answers with Structured Lexical Expansion and Discourse Relations LIMSI's Participation at QA4MRE 2013. | 1 |
About Martin Gleize
Martin Gleize is a scholar working on Artificial Intelligence, General Health Professions and Health, having authored 11 papers that have together received 106 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Health Policy Implementation Science (2 papers). The work is most often cited by research in Artificial Intelligence (83 citations), Information Systems (23 citations) and Health (7 citations). Martin Gleize has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Leshem Choshen, Noam Slonim, Eyal Shnarch, Ranit Aharonov, Lena Dankin, Yufang Hou, Charles Jochim, Guy Moshkowich, Joao H. Bettencourt‐Silva and Carlos Alzate. Their work appears in journals such as Language Resources and Evaluation, Studies in health technology and informatics and Langages.
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.