Scott de Marchi

18 papers receiving 618 citations

Peers

Scott de Marchi
Comparison fields: 5 of 87
  • Political Science and International Relations 341
  • Economics and Econometrics 216
  • Sociology and Political Science 200
  • Strategy and Management 145
  • Statistical and Nonlinear Physics 42
Replace Paul W. Thurner with:
Paul W. Thurner Germany
Jay K. Dow United States
Alexander H. Montgomery United States
John Bonner United Kingdom
Donald S. Lutz United States
Anton Strezhnev United States
Serguei Kaniovski Austria
Paul Pennings Netherlands
Αλεξία Κατσανίδου Germany
Bjørn Høyland Norway
Scott de Marchi relative to Paul W. Thurner Germany Paul W. Thurner's profile →
Citations per field
00.5×1.7×
Paul W. Thurner · 1×
Citations per year

Countries citing papers authored by Scott de Marchi

Since Specialization
Citations

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

Fields of papers citing papers by Scott de Marchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott de Marchi

This figure shows the co-authorship network connecting the top 25 collaborators of Scott de Marchi. A scholar is included among the top collaborators of Scott de Marchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott de Marchi. Scott de Marchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 5
2 1
3 4
4 16
5 1
6 24
7 84
8 6
9 42
10
You Are What You Choose: The Habits of Mind That Really Determine How We Make Decisions
1
11 28
12 1
13 7
14 133
15 73
16 48
17 169
18 19
19 4

About Scott de Marchi

Scott de Marchi is a scholar working on General Decision Sciences, Political Science and International Relations and Safety Research, having authored 19 papers that have together received 666 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (9 papers), Game Theory and Voting Systems (5 papers) and Experimental Behavioral Economics Studies (3 papers). The work is most often cited by research in Political Science and International Relations (341 citations), Public Administration (35 citations) and Strategy and Management (145 citations). Scott de Marchi has collaborated with scholars based in United States. Frequent co-authors include Brandice Canes‐Wrone, James T. Hamilton, Scott E. Page, Michael Laver, Jeffrey D. Grynaviski, Christopher Gelpi, Michael J. Ensley, Florian M Hollenbach, Max Gallop and Michael C. Munger. Their work appears in journals such as American Political Science Review, American Journal of Political Science and The Journal of Politics.

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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