Marc de Bourmont

560 citations
4 papers · 396 · 1 hit paper · h-index 4

Impact in

Papers in

Marc de Bourmont

4 papers receiving 383 citations

Marc de Bourmont's Hit Papers

Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy 2020 · 240 citations
2400+2+4Years since publication50100150200

Peers

Marc de Bourmont
Comparison fields: 5 of 49
  • Management Information Systems 182
  • Information Systems and Management 78
  • Strategy and Management 157
  • Information Systems 183
  • Health Informatics 9
Replace Ahad Zareravasan with:
Ahad Zareravasan Czechia
Jaspreet Kaur India
Giovanni Vaia Italy
Abhinav Pal India
Johanes Fernandes Andry Indonesia
Toomas Tamm Australia
Mary Daly Ireland
Ricardo Martins Portugal
Delia Deliu Romania
Philippa Adams Canada
Marc de Bourmont relative to Ahad Zareravasan Czechia Ahad Zareravasan's profile →
Citations per field
00.5×1.5×2.3×
Ahad Zareravasan · 1×
Citations per year

Countries citing papers authored by Marc de Bourmont

Since Specialization
Citations

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

Fields of papers citing papers by Marc de Bourmont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc de Bourmont. 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 Marc de Bourmont. The network helps show where Marc de Bourmont may publish in the future.

Co-authors

The 6 scholars most cited alongside Marc de Bourmont, 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 Marc de Bourmont Line = papers co-authored together Marc de Bourmont links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy
Hit paper breakdown →
2020240
2 201869
3 201863
4 202024

About Marc de Bourmont

Marc de Bourmont is a scholar working on Management Information Systems, Management Science and Operations Research, Social Psychology, Strategy and Management and Information Systems, having authored 4 papers that have together received 396 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Data Quality and Management (2 papers), Ethics and Social Impacts of AI (1 paper), Death Anxiety and Social Exclusion (1 paper), Psychology of Moral and Emotional Judgment (1 paper), Customer Service Quality and Loyalty (1 paper), Organizational and Employee Performance (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Management Information Systems (182 citations), Information Systems and Management (78 citations), Strategy and Management (157 citations), Information Systems (183 citations) and Health Informatics (9 citations). Marc de Bourmont has collaborated with scholars based in France, Australia and Brazil. Frequent co-authors include Samuel Fosso Wamba, Renato Telles, Maciel M. Queiroz, Shahriar Akter, Laura Trinchera and Yulia Sullivan. Their work appears in journals such as Annals of Operations Research, International Journal of Production Research, Business Process Management Journal and Management Decision.

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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