Philippe Blache

1.2k citations
44 papers · 159 indexed · h-index 8
Topics
Natural Language Processing Techniques (30 papers)Speech and dialogue systems (14 papers)Topic Modeling (12 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsFrontiers in Human Neuroscience
Partner nations
FranceHong KongItaly

In The Last Decade

Philippe Blache

39 papers receiving 146 citations

Peers

Philippe Blache
Comparison fields: 5 of 36
  • Artificial Intelligence 115
  • Language and Linguistics 31
  • Cognitive Neuroscience 19
  • Experimental and Cognitive Psychology 19
  • Information Systems 16
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Countries citing papers authored by Philippe Blache

Since Specialization
Citations

This map shows the geographic impact of Philippe Blache'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 Philippe Blache with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Blache more than expected).

Fields of papers citing papers by Philippe Blache

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Blache. 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 Philippe Blache. The network helps show where Philippe Blache may publish in the future.

Co-authorship network of co-authors of Philippe Blache

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Blache. A scholar is included among the top collaborators of Philippe Blache 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 Philippe Blache. Philippe Blache is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 0
4 1
5 1
6 17
7 12
8 7
9
Enrichissement du FTB : un treebank hybride constituants/propriétés
1
10 1
11
Construction of a 700 MHz prototypal cryomodule for the EUROTRANS ads proton linear accelerator
1
12
Evaluating robustness of a QA system through a corpus of real-life questions
1
13 4
14 2
15
Automatic Classification and Filtering of Electronic Information: Knowledge-Based Filtering Approach
3
16
Implantation de grammaires de propriétés en CHR.
1
17
Cryogenic installation status of the CRYHOLAB Test Facility
3
18
An evaluation of different symbolic shallow parsing techniques.
1
19
Property Grammars: a Flexible Constraint-Based Approach to Parsing.
10
20 0

About Philippe Blache

Philippe Blache is a scholar working on Artificial Intelligence, Language and Linguistics and Philosophy, having authored 44 papers that have together received 159 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (30 papers), Speech and dialogue systems (14 papers) and Topic Modeling (12 papers). The work is most often cited by research in Artificial Intelligence (115 citations), Language and Linguistics (31 citations) and Experimental and Cognitive Psychology (19 citations). Philippe Blache has collaborated with scholars based in France, Hong Kong and Italy. Frequent co-authors include Omar Nouali, Alessandro Lenci, Emmanuele Chersoni, Enrico Santus, Lamia Hadrich Belguith, Chu‐Ren Huang, Stéphane Rauzy, Mariem Ellouze, Patrice Bellot and Laurianne Sitbon. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Frontiers in Human Neuroscience.

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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