Grégory Nain

563 citations
25 papers · 373 · h-index 10

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Service-Oriented Architecture and Web Services
    • Software Engineering Research

Papers in

Grégory Nain

24 papers receiving 357 citations

Peers

Grégory Nain
Comparison fields: 5 of 45
  • Software 77
  • Information Systems 212
  • Computer Networks and Communications 173
  • Artificial Intelligence 238
  • Management Information Systems 35
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Citations per field
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Citations per year

Countries citing papers authored by Grégory Nain

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Nain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Grégory Nain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Grégory Nain Line = papers co-authored together Grégory Nain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009131
2 201634
3 201128
4 201225
5 200924
6 201419
7 201514
8 200814
9 201511
10 20109
11
Reasoning at Runtime using time-distorted Contexts: A [email protected] based Approach
20147
12 20147
13 20137
14 20147
15
Introducing Conviviality as a New Paradigm for Interactions among IT Objects
20126
16 20146
17 20125
18 20135
19 20124
20 20143

About Grégory Nain

Grégory Nain is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Management Information Systems, having authored 25 papers that have together received 373 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (10 papers), Advanced Software Engineering Methodologies (10 papers), Context-Aware Activity Recognition Systems (5 papers), Software System Performance and Reliability (4 papers), Distributed and Parallel Computing Systems (4 papers), Business Process Modeling and Analysis (3 papers), Advanced Database Systems and Queries (3 papers) and Model-Driven Software Engineering Techniques (3 papers). The work is most often cited by research in Software (77 citations), Information Systems (212 citations), Computer Networks and Communications (173 citations), Artificial Intelligence (238 citations) and Management Information Systems (35 citations). Grégory Nain has collaborated with scholars based in Luxembourg, France and Norway. Frequent co-authors include Jean‐Marc Jezéquél, Brice Morin, Olivier Barais, Yves Le Traon, François Fouquet, Jacques Klein, Alejandro Sánchez Guinea, Thomas Hartmann, Gilles Perrouin and Patrick Albers. Their work appears in journals such as Journal of Systems and Software, Requirements Engineering, Lecture notes in computer science, Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering and Open Repository and Bibliography (University of Luxembourg).

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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