Massimo Warglien

2.8k total citations
51 papers, 1.5k citations indexed

About

Massimo Warglien is a scholar working on Management Science and Operations Research, Safety Research and Sociology and Political Science. According to data from OpenAlex, Massimo Warglien has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 10 papers in Safety Research and 9 papers in Sociology and Political Science. Recurrent topics in Massimo Warglien's work include Experimental Behavioral Economics Studies (10 papers), Evolutionary Game Theory and Cooperation (8 papers) and Decision-Making and Behavioral Economics (7 papers). Massimo Warglien is often cited by papers focused on Experimental Behavioral Economics Studies (10 papers), Evolutionary Game Theory and Cooperation (8 papers) and Decision-Making and Behavioral Economics (7 papers). Massimo Warglien collaborates with scholars based in Italy, United States and Denmark. Massimo Warglien's co-authors include Daniel A. Levinthal, Peter Gärdenfors, Giovanni Dosi, Massimo Egidi, Luigi Marengo, Roger Burkhart, Stefan Winter, Reinhard Selten, Giovanna Devetag and Davide Marchiori and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Massimo Warglien

50 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Warglien Italy 16 581 412 229 224 213 51 1.5k
Steve G. Sutton United States 33 802 1.4× 339 0.8× 245 1.1× 360 1.6× 198 0.9× 136 3.4k
Robert B. Davison United States 11 521 0.9× 136 0.3× 281 1.2× 181 0.8× 182 0.9× 14 1.4k
Nils Stieglitz Germany 14 634 1.1× 261 0.6× 132 0.6× 205 0.9× 202 0.9× 29 1.2k
Henry S.J. Robben Netherlands 21 738 1.3× 398 1.0× 230 1.0× 347 1.5× 441 2.1× 45 2.1k
Robert H. Ashton United States 26 528 0.9× 539 1.3× 131 0.6× 184 0.8× 330 1.5× 46 2.9k
Ken T. Trotman Australia 37 1.1k 1.9× 291 0.7× 354 1.5× 342 1.5× 252 1.2× 100 3.9k
James E. Hunton United States 24 444 0.8× 136 0.3× 192 0.8× 220 1.0× 134 0.6× 111 2.4k
Nachoem M. Wijnberg Netherlands 19 529 0.9× 123 0.3× 319 1.4× 326 1.5× 200 0.9× 70 1.5k
Roger Lindsay Canada 19 265 0.5× 116 0.3× 279 1.2× 211 0.9× 82 0.4× 40 2.1k
Waymond Rodgers United States 26 610 1.0× 156 0.4× 528 2.3× 647 2.9× 124 0.6× 82 2.2k

Countries citing papers authored by Massimo Warglien

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Warglien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Warglien

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Warglien. A scholar is included among the top collaborators of Massimo Warglien 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 Massimo Warglien. Massimo Warglien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Warglien, Massimo, et al.. (2022). The architecture of partisan debates: The online controversy on the no-deal Brexit. PLoS ONE. 17(6). e0270236–e0270236. 3 indexed citations
2.
Warglien, Massimo, et al.. (2022). Representation of Jews and Anti-Jewish Bias in 19th Century French Public Discourse: Distant and Close Reading. Frontiers in Big Data. 4. 723043–723043. 1 indexed citations
3.
Gibbons, Robert, Marco LiCalzi, & Massimo Warglien. (2021). What Situation Is This? Shared Frames and Collective Performance. Strategy Science. 6(2). 124–140. 13 indexed citations
4.
Christensen, Michael, Christian M. Dahl, Thorbjørn Knudsen, & Massimo Warglien. (2021). Context and Aggregation: An Experimental Study of Bias and Discrimination in Organizational Decisions. Organization Science. 34(6). 2163–2181. 10 indexed citations
5.
Gärdenfors, Peter, Jürgen Jost, & Massimo Warglien. (2018). From Actions to Effects: Three Constraints on Event Mappings. Frontiers in Psychology. 9. 1391–1391. 14 indexed citations
6.
Knudsen, Thorbjørn, Davide Marchiori, & Massimo Warglien. (2018). Hierarchical decision-making produces persistent differences in learning performance. Scientific Reports. 8(1). 15782–15782. 8 indexed citations
7.
Knudsen, Thorbjørn, Massimo Warglien, & Sangyoon Yi. (2012). Garbage Can in the Lab. SSRN Electronic Journal. 1 indexed citations
8.
Marchiori, Davide & Massimo Warglien. (2011). Neural Network Models of Learning and Categorization in Multigame Experiments. Frontiers in Neuroscience. 5. 139–139. 6 indexed citations
9.
Warglien, Massimo & Peter Gärdenfors. (2011). Semantics, conceptual spaces, and the meeting of minds. Synthese. 190(12). 2165–2193. 36 indexed citations
10.
Devetag, Giovanna & Massimo Warglien. (2008). Playing the Wrong Game: An Experimental Analysis of Relational Complexity and Strategic Misrepresentation. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 29 indexed citations
11.
Marchiori, Davide & Massimo Warglien. (2008). Predicting Human Interactive Learning by Regret-Driven Neural Networks. Science. 319(5866). 1111–1113. 67 indexed citations
12.
Warglien, Massimo, et al.. (2005). What Do External Representations Tell about Mental Models? An Exploratory Study in Deductive Reasoning. ARCA (Università Ca' Foscari Venezia). 27(27). 1 indexed citations
13.
Devetag, Giovanna & Massimo Warglien. (2005). Playing the Wrong Game: An Experimental Analysis of Relational Complexity and Strategic Misrepresentation. SSRN Electronic Journal. 7 indexed citations
14.
Warglien, Massimo, et al.. (2004). How does preference reversal appear and disappear? Effects of the evaluation mode. Journal of Behavioral Decision Making. 17(5). 395–408. 10 indexed citations
15.
Devetag, Giovanna & Massimo Warglien. (2002). Games and Phone Numbers: Do Short Term Memory Bounds Affect Strategic Behavior?. Unitn Eprints Research (Università Degli Studi di Trento). 2 indexed citations
16.
Bouquet, Paolo & Massimo Warglien. (1999). Mental models and local semantics: the problem of information integration. ARCA (Università Ca' Foscari Venezia). 169–178. 7 indexed citations
17.
Devetag, Giovanna, Paolo Legrenzi, & Massimo Warglien. (1997). Come le alternative inefficienti influenzano le nostre decisioni. 377–398. 2 indexed citations
18.
Dosi, Giovanni, et al.. (1996). Routines and other recurring action patterns in organizations. Industrial and Corporate Change. 4. 653–698. 5 indexed citations
19.
Narduzzo, A. & Massimo Warglien. (1996). Learning from the Experience of Others: An Experiment on Information Contagion. Industrial and Corporate Change. 5(1). 113–126. 8 indexed citations
20.
Masuch, Michael & Massimo Warglien. (1992). Artificial Intelligence in Organization and Management Theory. ARCA (Università Ca' Foscari Venezia). 1. 342–342. 31 indexed citations

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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