Michaël Petit

785 citations
37 papers · 366 · h-index 12

Impact in

Papers in

Michaël Petit

32 papers receiving 334 citations

Peers

Michaël Petit
Comparison fields: 5 of 71
  • Management Information Systems 68
  • Communication 39
  • Gender Studies 46
  • Information Systems 97
  • Human-Computer Interaction 17
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Citations per year

Countries citing papers authored by Michaël Petit

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Michaël Petit, 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 Petit Line = papers co-authored together Michaël Petit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201257
2 200752
3
Networked Affect
201539
4 200927
5 201220
6 200918
7 200417
8 201713
9
Queer Reverb: Tumblr, Affect, Time
201513
10
A Midsummer's Bonfire: Affective Intensities of Online Debate
201512
11 201211
12
Introduction: Networks of Transmission: Intensity, Sensation, Value
201511
13 200710
14 20118
15
Enhancement of Business IT Alignment by Including Responsibility Components in RBAC
20108
16 20157
17
Semantic indexing of a competence map to support scientific collaboration in a research community
20076
18
Sensation, Networks, and the GIF: Toward an Allotropic Account of Affect
20156
19
Getting Things Done: Productivity, Self-Management, and the Order of Things
20155
20 20104

About Michaël Petit

Michaël Petit is a scholar working on Information Systems, Sociology and Political Science, Management Information Systems, Artificial Intelligence and Molecular Biology, having authored 37 papers that have together received 366 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (10 papers), Business Process Modeling and Analysis (8 papers), Access Control and Trust (8 papers), Information Technology Governance and Strategy (6 papers), Information and Cyber Security (5 papers), Advanced Software Engineering Methodologies (3 papers), Semantic Web and Ontologies (3 papers) and Security and Verification in Computing (3 papers). The work is most often cited by research in Management Information Systems (68 citations), Communication (39 citations), Gender Studies (46 citations), Information Systems (97 citations) and Human-Computer Interaction (17 citations). Michaël Petit has collaborated with scholars based in Belgium, Luxembourg and Italy. Frequent co-authors include Ken Hillis, Christophe Feltus, Susanna Paasonen, Paola Velardi, Alessandro Cucchiarelli, Kylie Jarrett, Éric Dubois, Altha J. Cravey, Henderik A. Proper and Nacer Boudjlida. Their work appears in journals such as New Media & Society, IEEE Transactions on Knowledge and Data Engineering, Journal of Geography, IFAC-PapersOnLine and IFAC Proceedings Volumes.

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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