Davide Secchi

74 papers receiving 759 citations

Peers

Davide Secchi
Comparison fields: 5 of 102
  • Strategy and Management 328
  • Marketing 153
  • Management Science and Operations Research 189
  • Organizational Behavior and Human Resource Management 152
  • Information Systems and Management 82
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Oguz Ali Acar United Kingdom
Marina Fiedler Germany
Kai Man Kwan Hong Kong
Bryan Lilly United States
Sheen S. Levine United States
Paul Bacdayan United States
Ali Harsini Intezari Australia
Pier Vittorio Mannucci Italy
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Citations per year

Countries citing papers authored by Davide Secchi

Since Specialization
Citations

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

Fields of papers citing papers by Davide Secchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007153
2 200579
3 201045
4 200938
5 201636
6 201528
7 201826
8 202026
9 201524
10 200922
11 201520
12 201019
13 201719
14 201819
15 201617
16 201714
17 202312
18 202012
19 201311
20
A theory of docile society: The role of altruism in human behavior
200711

About Davide Secchi

Davide Secchi is a scholar working on Management Science and Operations Research, Organizational Behavior and Human Resource Management, Strategy and Management, Safety Research and Sociology and Political Science, having authored 98 papers that have together received 825 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (21 papers), Experimental Behavioral Economics Studies (9 papers), Cognitive Science and Mapping (7 papers), Evolutionary Game Theory and Cooperation (7 papers), Opinion Dynamics and Social Influence (7 papers), Innovation and Knowledge Management (7 papers), Business Strategy and Innovation (6 papers) and Management and Organizational Studies (5 papers). The work is most often cited by research in Strategy and Management (328 citations), Marketing (153 citations), Management Science and Operations Research (189 citations), Organizational Behavior and Human Resource Management (152 citations) and Information Systems and Management (82 citations). Davide Secchi has collaborated with scholars based in Denmark, Italy and United Kingdom. Frequent co-authors include Raffaello Seri, Fabian Homberg, Emanuele Bardone, Stephen J. Cowley, M. Paula Neumann, Yumei Yang, Nicole L. Gullekson, Hong Bui, Volker Grimm and Samuele Centorrino. Their work appears in journals such as Journal of Business Ethics, Computational and Mathematical Organization Theory, Journal of Economic Methodology, Sociological Methods & Research and European Management Review.

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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