Isabelle Moulinier

692 citations
11 papers · 333 indexed · h-index 5
Topics
Information Retrieval and Search Behavior (4 papers)Semantic Web and Ontologies (3 papers)Text and Document Classification Technologies (2 papers)
Partner nations
United States

In The Last Decade

Isabelle Moulinier

11 papers receiving 277 citations

Peers

Isabelle Moulinier
Comparison fields: 5 of 54
  • Artificial Intelligence 242
  • Information Systems 129
  • Molecular Biology 32
  • Safety Research 30
  • Computer Vision and Pattern Recognition 22
Replace Nelson F. Liu with:
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Hussam M. Dahwa Abdulla Czechia
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Lucy Vasserman United States
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Fatih Gedikli Germany
Shuyuan Xu United States
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Isabelle Moulinier relative to Nelson F. Liu United States Nelson F. Liu's profile →
Citations per field
00.5×1.5×2.1×
Nelson F. Liu · 1×
Citations per year

Countries citing papers authored by Isabelle Moulinier

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Moulinier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Moulinier

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 31
2 1
3
2.4 Evaluating search engines
1
4 66
5
Thomson Legal and Regulatory at NTCIR-4: Monolingual and Pivot-Language Retrieval Experiments
4
6
Briefly noted: natural language processing for online applications: Text retrieval, extraction, and categorization
3
7 160
8
Thomson Legal and Regulatory at NTCIR-3: Japanese, Chinese and English retrieval experiments
4
9
A Framework for Comparing Text Categorization Approaches
4
10 6
11
Text categorization : a symbolic approach
53

About Isabelle Moulinier

Isabelle Moulinier is a scholar working on Health Informatics, Information Systems and Computer Science Applications, having authored 11 papers that have together received 333 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (4 papers), Semantic Web and Ontologies (3 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Health Informatics (22 citations), Artificial Intelligence (242 citations) and Information Systems (129 citations). Isabelle Moulinier has collaborated with scholars based in United States. Frequent co-authors include Peter Jackson, Jean‐Gabriel Ganascia, Frank Schilder, Xin Shuai, Jason Rollins, Peter Jackson and Wenhui Liao. Their work appears in journals such as Computational Linguistics, Journal of the Association for Information Science and Technology and NTCIR.

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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