Nicolas Anquetil

2.8k citations
51 papers · 1.3k indexed · h-index 17
Topics
Software Engineering Research (45 papers)Advanced Software Engineering Methodologies (19 papers)Software System Performance and Reliability (15 papers)
Partner nations
FranceBrazilCanada

In The Last Decade

Nicolas Anquetil

49 papers receiving 1.2k citations

Peers

Nicolas Anquetil
Comparison fields: 5 of 54
  • Information Systems 1.2k
  • Artificial Intelligence 582
  • Software 449
  • Computer Networks and Communications 417
  • Computer Science Applications 126
Replace Wenyun Zhao with:
Wenyun Zhao China
Michel Wermelinger United Kingdom
M.-A. Storey Canada
Ted J. Biggerstaff United States
Michael L. Collard United States
Uirá Kulesza Brazil
Mircea Lungu Switzerland
G.A. Di Lucca Italy
Harvey Siy United States
Sarah Nadi Canada
Nicolas Anquetil relative to Wenyun Zhao China Wenyun Zhao's profile →
Citations per field
00.5×1.5×
Wenyun Zhao · 1×
Citations per year

Countries citing papers authored by Nicolas Anquetil

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Anquetil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Anquetil

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Anquetil. A scholar is included among the top collaborators of Nicolas Anquetil 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 Nicolas Anquetil. Nicolas Anquetil 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 0
3 1
4 0
5 3
6 20
7 11
8
Mining Architectural Patterns Using Association Rules
2
9 9
10 9
11 141
12 3
13 17
14 4
15
Knowledge for Software Maintenance.
9
16 208
17 2
18
Assessing the relevance of identifier names in a legacy software system
76
19 88
20
File clustering using naming conventions for legacy systems
30

About Nicolas Anquetil

Nicolas Anquetil is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software Engineering Research (45 papers), Advanced Software Engineering Methodologies (19 papers) and Software System Performance and Reliability (15 papers). The work is most often cited by research in Software (449 citations), Information Systems (1.2k citations) and Computer Science Applications (126 citations). Nicolas Anquetil has collaborated with scholars based in France, Brazil and Canada. Frequent co-authors include Timothy C. Lethbridge, Káthia Marçal de Oliveira, Norman G. Vinson, Janice Singer, Sté́phane Ducasse, Marco Túlio Valente, Jannik Laval, André Hora, Anne Etien and Jean-Claude Royer. Their work appears in journals such as IEEE Software, Journal of Systems and Software and Information and Software Technology.

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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