Michaël Lienhardt

546 citations
43 papers · 335 · h-index 12

Impact in

Papers in

Michaël Lienhardt

40 papers receiving 329 citations

Peers

Michaël Lienhardt
Comparison fields: 5 of 20
  • Software 81
  • Hardware and Architecture 52
  • Artificial Intelligence 235
  • Computer Networks and Communications 163
  • Computational Theory and Mathematics 113
Replace Marina Waldén with:
Marina Waldén Finland
Amin Shali Iran
Akihiko Tozawa Japan
Jürgen Dingel United States
Madan Musuvathi United States
Elena Giachino Italy
Wolfgang Weck United States
Wolf Zimmermann Germany
Jeremy Yallop United Kingdom
Diego Garbervetsky Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Michaël Lienhardt

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Lienhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michaël Lienhardt, 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 Michaël Lienhardt Line = papers co-authored together Michaël Lienhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201341
2 201532
3 201431
4 201225
5 202117
6 201616
7 200714
8 201812
9 201312
10 201511
11 201211
12 201711
13 201310
14 20189
15 20178
16 20176
17 20176
18 20196
19 20186
20 20165

About Michaël Lienhardt

Michaël Lienhardt is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computational Theory and Mathematics and Software, having authored 43 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (29 papers), Service-Oriented Architecture and Web Services (14 papers), Formal Methods in Verification (13 papers), Logic, programming, and type systems (13 papers), Model-Driven Software Engineering Techniques (11 papers), Distributed systems and fault tolerance (10 papers), Software System Performance and Reliability (5 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Software (81 citations), Hardware and Architecture (52 citations), Artificial Intelligence (235 citations), Computer Networks and Communications (163 citations) and Computational Theory and Mathematics (113 citations). Michaël Lienhardt has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Ferruccio Damiani, Cosimo Laneve, Ivan Lanese, Claudio Antares Mezzina, Alan Schmitt, Elena Giachino, Luca Paolini, Jean‐Bernard Stefani, Jean-Bernard Stefani and Reiner Hähnle. Their work appears in journals such as Science of Computer Programming, Lecture notes in computer science, Journal of Logical and Algebraic Methods in Programming, Journal of Systems and Software and Empirical Software Engineering.

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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