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From institutional mud to green pasture: university mergers in bibliometric data
research data bite: 29.
Jun 2
•
Hélène Draux
3
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Coherent, plausible, and wrong: input validation, sycophancy, and what LLMs skip in research design
research AI bites: 08.
May 7
•
Hélène Draux
3
From classification to consequence: define the field, change the answer
Key takeaways:
Apr 22
•
Hélène Draux
2
The AI metascientist: designing the kitchen
Research AI bite: 07.
Feb 19
•
Hélène Draux
1
Conversational bibliometrics needs a recipe, not just ingredients
Conversational AI for bibliometrics requires external structural constraints (Model Context Protocols) to prevent hallucinations and ensure…
Feb 10
•
Hélène Draux
9
2
3
From noise to signal: how to find emerging research trends in Dimensions
Research data bite: 27.
Jan 19
•
Hélène Draux
8
Mapping the global funding landscape: a hybrid AI classification of research funders
Research AI bite: 06.
Dec 22, 2025
•
Hélène Draux
6
2
Meet the librarians: AI roles inside Dimensions
Research AI bite: 05.
Dec 11, 2025
•
Hélène Draux
4
1
1
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