The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Massimo Poesio sits on this spectrum.
This scientist: 278 publications — 69th percentile
69% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Massimo Poesio sits on this spectrum.
This scientist: 54 D-Index — 69th percentile
69% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Massimo Poesio is affiliated with Queen Mary University of London in the United Kingdom. Their research primarily focuses on computer science, with significant contributions to the subfields of artificial intelligence and cognitive neuroscience. Additional interests include computer vision and pattern recognition, computer science applications, and computer networks and communications.
Their work extensively covers topics related to natural language processing techniques and topic modeling. Other notable research areas include speech and dialogue systems, neurobiology of language and bilingualism, text readability and simplification, mobile crowdsensing and crowdsourcing, as well as memory and neural mechanisms.
Massimo Poesio has collaborated with several frequent coauthors, including Silviu Paun, Juntao Yu, Ron Artstein, Alexandra Uma, and Tommaso Fornaciari.
Their publications appear across various venues, with a significant presence on arXiv (Cornell University). Other venues featuring their research include Frontiers in Artificial Intelligence, Journal of Artificial Intelligence Research, Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, and Computational Linguistics.
Notable recent papers include:
In addition to articles, Massimo Poesio has authored a book titled Statistical Methods for Annotation Analysis published by Morgan & Claypool Publishers in 2022.
Ron Artstein;Ron Artstein;Massimo Poesio;Massimo Poesio
Juntao Yu;Bernd Bohnet;Massimo Poesio
Massimo Poesio;Renata Vieira
Yannick Versley;Simone Paolo Ponzetto;Massimo Poesio;Vladimir Eidelman
James F. Allen;Lenhart K. Schubert;George Ferguson;Peter Heeman
Renata Vieira;Massimo Poesio
Massimo Poesio;Rosemary Stevenson;Barbara Di Eugenio;Janet Hitzeman
Massimo Poesio;David R. Traum
Josef Steinberger;Massimo Poesio;Mijail A. Kabadjov;Karel Jeek
Marco Baroni;Brian Murphy;Eduard Barbu;Massimo Poesio
Massimo Poesio;Ron Artstein
Marta Recasens;Llu'is Màrquez;Emili Sapena;M. Antònia Mart'i
Colin Matheson;Massimo Poesio;David Traum
Massimo Poesio
Massimo Poesio;Rahul Mehta;Axel Maroudas;Janet Hitzeman
Abdulrahman Almuhareb;Massimo Poesio
Jon Chamberlain;Massimo Poesio;Udo Kruschwitz
Massimo Poesio;Jon Chamberlain;Udo Kruschwitz;Livio Robaldo
Massimo Poesio;Renata Vieira;Simone Teufel
Massimo Poesio
Nikiforos Karamanis;Massimo Poesio;Chris Mellish;Jon Oberlander
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