Mario D. Schultz

554 citations
21 papers · 365 · h-index 8

Impact in

  • Marketing top 5%
    • Environmental Sustainability in Business
    • Consumer Market Behavior and Pricing
    • Consumer Behavior in Brand Consumption and Identification

Papers in

Mario D. Schultz

18 papers receiving 351 citations

Peers

Mario D. Schultz
Comparison fields: 5 of 66
  • Health Informatics 17
  • Marketing 120
  • Safety Research 84
  • Information Systems and Management 45
  • Strategy and Management 89
Replace Elisa Konya-Baumbach with:
Elisa Konya-Baumbach Germany
Ludovica Moi Italy
Jim Lecinski United States
Nasser Alhamar Alkathiri Egypt
Shikha N. Khera India
Eddy S. Fang China
Alamir N. Al-Alawi Egypt
Shalini Nath Tripathi India
Uta Wilkens Germany
Alexis Mavrommatis Spain
Mario D. Schultz relative to Elisa Konya-Baumbach Germany Elisa Konya-Baumbach's profile →
Citations per field
00.5×4.3×
Elisa Konya-Baumbach · 1×
Citations per year

Countries citing papers authored by Mario D. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Mario D. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario D. Schultz. 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 Mario D. Schultz. The network helps show where Mario D. Schultz may publish in the future.

Co-authors

The 3 scholars most cited alongside Mario D. Schultz, 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 Mario D. Schultz Line = papers co-authored together Mario D. Schultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019117
2 2022108
3 202238
4 201930
5 202322
6 202413
7 202210
8 20209
9 20193
10 20242
11 20222
12 20212
13 20212
14 20172
15 20232
16 20241
17 20211
18 20241
19 20240
20 20220

About Mario D. Schultz

Mario D. Schultz is a scholar working on Safety Research, Information Systems and Management, Strategy and Management, Cognitive Neuroscience and Artificial Intelligence, having authored 21 papers that have together received 365 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (10 papers), Ethics in Business and Education (7 papers), Psychology of Moral and Emotional Judgment (4 papers), Corporate Social Responsibility Reporting (4 papers), AI in Service Interactions (4 papers), Management and Organizational Studies (3 papers), Digital Economy and Work Transformation (3 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Health Informatics (17 citations), Marketing (120 citations), Safety Research (84 citations), Information Systems and Management (45 citations) and Strategy and Management (89 citations). Mario D. Schultz has collaborated with scholars based in Switzerland, Netherlands and Germany. Frequent co-authors include Peter Seele, Reto Hofstetter and Claus Dierksmeier. Their work appears in journals such as Journal of Business Ethics, AI & Society, Journal of Information Communication and Ethics in Society, Business Ethics A European Review and Industry and Higher Education.

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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