Mathieu Chanson

478 citations
11 papers · 318 · h-index 7

Impact in

Papers in

Mathieu Chanson

11 papers receiving 298 citations

Peers

Mathieu Chanson
Comparison fields: 5 of 54
  • Information Systems 260
  • Management Information Systems 98
  • Marketing 40
  • Computer Networks and Communications 65
  • Strategy and Management 32
Replace Mustafa Ally with:
Mustafa Ally Australia
Tobias Guggenberger Germany
Hemang Subramanian United States
Maria Papadaki United Arab Emirates
Efstathios Panayi United Kingdom
Nayem Rahman United States
Dominik Bilgeri Switzerland
Raul Valverde Canada
Omri Ross Denmark
Giulio Caldarelli Italy
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Chanson

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Chanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Mathieu Chanson, 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 Mathieu Chanson Line = papers co-authored together Mathieu Chanson links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2016135
2 201991
3 201723
4 201918
5
Initial Coin Offerings (ICOs): The role of Social Media for Organizational Legitimacy and Underpricing
201817
6
Initial coin offerings (ICOs): an introduction to the novel funding mechanism based on blockchain technology
201813
7 20239
8 20224
9 20204
10 20172
11
Initial Coin Offerings (ICOs): An Introduction to the Novel Funding Mechanism Based on Blockchain Technology: Emergent Research Forum (ERF)
20182

About Mathieu Chanson

Mathieu Chanson is a scholar working on Information Systems, Sociology and Political Science, Management Information Systems, Artificial Intelligence and Finance, having authored 11 papers that have together received 318 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (10 papers), FinTech, Crowdfunding, Digital Finance (5 papers), Privacy, Security, and Data Protection (5 papers), Privacy-Preserving Technologies in Data (3 papers), Banking stability, regulation, efficiency (2 papers), Economic Growth and Development (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper) and Digital Marketing and Social Media (1 paper). The work is most often cited by research in Information Systems (260 citations), Management Information Systems (98 citations), Marketing (40 citations), Computer Networks and Communications (65 citations) and Strategy and Management (32 citations). Mathieu Chanson has collaborated with scholars based in Switzerland, Germany and Australia. Frequent co-authors include Andreas Bogner, Arne Meeuw, Felix Wortmann, Elgar Fleisch, Dominik Bilgeri, Marten Risius, Christoph F. Breidbach and Alexander Bogner. Their work appears in journals such as Journal of the Association for Information Systems, Electronic Markets, Repository for Publications and Research Data (ETH Zurich) and Alexandria (UniSG) (University of St.Gallen).

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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