Martin Gleize

559 total citations
11 papers, 106 citations indexed

About

Martin Gleize is a scholar working on Artificial Intelligence, General Health Professions and Molecular Biology. According to data from OpenAlex, Martin Gleize has authored 11 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in General Health Professions and 2 papers in Molecular Biology. Recurrent topics in Martin Gleize's work include Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Health Policy Implementation Science (2 papers). Martin Gleize is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Health Policy Implementation Science (2 papers). Martin Gleize collaborates with scholars based in Ireland, United Kingdom and United States. Martin Gleize's 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 and has published in prestigious journals such as Language Resources and Evaluation, Studies in health technology and informatics and Langages.

In The Last Decade

Martin Gleize

10 papers receiving 98 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Martin Gleize Ireland	5	83	23	12	7	7	11	106
Antonio Bella Spain	4	82 1.0×	10 0.4×	4 0.3×	3 0.4×	15 2.1×	7	112
Ariel Gera Israel	6	128 1.5×	27 1.2×	6 0.5×	2 0.3×	2 0.3×	12	156
Rishabh Joshi India	5	165 2.0×	12 0.5×	38 3.2×	4 0.6×	6 0.9×	9	190
Bartosz Broda Poland	9	187 2.3×	16 0.7×	8 0.7×		6 0.9×	23	209
Debajyoti Datta United States	5	24 0.3×	8 0.3×	2 0.2×	3 0.4×	10 1.4×	12	69
Guangzhi Xiong United States	4	108 1.3×	12 0.5×	41 3.4×		8 1.1×	7	161
Qijun Tan United States	4	160 1.9×	22 1.0×	5 0.4×		3 0.4×	5	174
Miruna Clinciu United Kingdom	3	104 1.3×	14 0.6×	6 0.5×		2 0.3×	8	123
Gabriel Illouz France	7	103 1.2×	17 0.7×	15 1.3×		3 0.4×	30	127

Countries citing papers authored by Martin Gleize

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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11 of 11 papers shown

Trombetta, Alberto, Flavio Bertini, Danilo Montesi, et al.. (2023). Graph-based Tool for Exploring PubMed Knowledge Base. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 3611–3614.

Hou, Yufang, Charles Jochim, Martin Gleize, Francesca Bonin, & Debasis Ganguly. (2021). TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics. 707–714. 17 indexed citations

Ganguly, Debasis, Martin Gleize, Yufang Hou, et al.. (2021). Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding.. PubMed. 2021. 486–495. 1 indexed citations

Park, Yoonyoung, et al.. (2021). Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data.. PubMed. 2021. 940–949. 14 indexed citations

Bonin, Francesca, Martin Gleize, Ailbhe N. Finnerty, et al.. (2020). HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports.. Language Resources and Evaluation. 1967–1975. 1 indexed citations

Bonin, Francesca, Martin Gleize, Yufang Hou, et al.. (2020). Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation.. PubMed. 2020. 253–262. 1 indexed citations

Bettencourt‐Silva, Joao H., et al.. (2020). Exploring the Social Drivers of Health During a Pandemic: Leveraging Knowledge Graphs and Population Trends in COVID-19. Studies in health technology and informatics. 275. 6–11. 6 indexed citations

Gleize, Martin, Eyal Shnarch, Leshem Choshen, et al.. (2019). Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. 967–976. 33 indexed citations

Shnarch, Eyal, Carlos Alzate, Lena Dankin, et al.. (2018). Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. 599–605. 31 indexed citations

10.

Grau, Brigitte & Martin Gleize. (2018). Implication textuelle : problèmes et méthodes pour le TAL. Langages. N° 212(4). 105–122. 1 indexed citations

11.

Gleize, Martin, et al.. (2013). Selecting Answers with Structured Lexical Expansion and Discourse Relations LIMSI's Participation at QA4MRE 2013.. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

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.

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