Emanuele Pugliese

742 total citations
20 papers, 457 citations indexed

About

Emanuele Pugliese is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Statistical and Nonlinear Physics. According to data from OpenAlex, Emanuele Pugliese has authored 20 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 4 papers in General Economics, Econometrics and Finance and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Emanuele Pugliese's work include Economic and Technological Innovation (12 papers), Economic Growth and Productivity (6 papers) and Global trade and economics (3 papers). Emanuele Pugliese is often cited by papers focused on Economic and Technological Innovation (12 papers), Economic Growth and Productivity (6 papers) and Global trade and economics (3 papers). Emanuele Pugliese collaborates with scholars based in Italy, Spain and United Kingdom. Emanuele Pugliese's co-authors include L. Pietronero, Andrea Zaccaria, Claudio Castellano, Lorenzo Napolitano, Giovanni Dosi, Daniele Moschella, Federico Tamagni, G. Chiarotti, François Perruchas and Davide Consoli and has published in prestigious journals such as PLoS ONE, Scientific Reports and Research Policy.

In The Last Decade

Emanuele Pugliese

20 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emanuele Pugliese Italy 12 343 70 59 57 55 20 457
Antonio Palestrini Italy 17 647 1.9× 61 0.9× 3 0.1× 45 0.8× 200 3.6× 41 772
Giorgio Ricchiuti Italy 10 281 0.8× 28 0.4× 5 0.1× 105 1.8× 81 1.5× 32 368
Francisco Fatás‐Villafranca Spain 12 195 0.6× 12 0.2× 9 0.2× 69 1.2× 44 0.8× 33 309
Giuditta De Prato Spain 8 132 0.4× 16 0.2× 15 0.3× 101 1.8× 15 0.3× 22 240
Stanislao Gualdi France 7 181 0.5× 103 1.5× 2 0.0× 30 0.5× 44 0.8× 10 328
Roberto Dieci Italy 18 915 2.7× 132 1.9× 3 0.1× 22 0.4× 132 2.4× 44 1000
Murat Yıldızoğlu France 9 181 0.5× 13 0.2× 3 0.1× 49 0.9× 67 1.2× 20 254
Gianfranco Giulioni Italy 12 369 1.1× 21 0.3× 2 0.0× 27 0.5× 135 2.5× 32 507
Y.M. Kaniovski Ukraine 3 154 0.4× 14 0.2× 3 0.1× 87 1.5× 15 0.3× 6 292
Nicholas S. P. Tay United States 9 137 0.4× 5 0.1× 7 0.1× 45 0.8× 43 0.8× 19 322

Countries citing papers authored by Emanuele Pugliese

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Pugliese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Pugliese

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Pugliese. A scholar is included among the top collaborators of Emanuele Pugliese 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 Emanuele Pugliese. Emanuele Pugliese 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.
Mariani, Manuel Sebastian, et al.. (2024). Citations or dollars? Early signals of a firm’s research success. Technological Forecasting and Social Change. 201. 123208–123208. 1 indexed citations
2.
Napolitano, Lorenzo, et al.. (2023). Capability accumulation patterns across economic, innovation, and knowledge-production activities. Scientific Reports. 13(1). 12988–12988. 2 indexed citations
3.
Barbieri, Nicolò, et al.. (2022). Regional technological capabilities and green opportunities in Europe. The Journal of Technology Transfer. 48(2). 749–778. 38 indexed citations
4.
Dosi, Giovanni, et al.. (2020). What a firm produces matters: Processes of diversification, coherence and performances of Indian manufacturing firms. Research Policy. 51(8). 104152–104152. 15 indexed citations
5.
Coad, Alex, et al.. (2020). What’s good for the goose ain’t good for the gander: heterogeneous innovation capabilities and the performance effects of R&D. Industrial and Corporate Change. 29(3). 621–644. 19 indexed citations
6.
Pugliese, Emanuele, Lorenzo Napolitano, Andrea Zaccaria, & L. Pietronero. (2019). S1 File -. Figshare. 27 indexed citations
7.
Cimini, Giulio, et al.. (2019). Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network. Entropy. 21(2). 126–126. 5 indexed citations
8.
Pugliese, Emanuele, et al.. (2018). Dynamics in the Fitness-Income plane: Brazilian states vs World countries. PLoS ONE. 13(6). e0197616–e0197616. 20 indexed citations
9.
Pugliese, Emanuele, et al.. (2018). The Role of Complex Analysis in Modelling Economic Growth. Entropy. 20(11). 883–883. 25 indexed citations
10.
Gkotsis, Petros, Emanuele Pugliese, & Antonio Vezzani. (2018). A Technology-Based Classification of Firms: Can We Learn Something Looking Beyond Industry Classifications?. Entropy. 20(11). 887–887. 10 indexed citations
11.
Napolitano, Lorenzo, Evangelos Evangelou, Emanuele Pugliese, Paolo Zeppini, & Graham Room. (2018). Technology networks: the autocatalytic origins of innovation. Royal Society Open Science. 5(6). 172445–172445. 20 indexed citations
12.
Pugliese, Emanuele, G. Chiarotti, Andrea Zaccaria, & L. Pietronero. (2017). Complex Economies Have a Lateral Escape from the Poverty Trap. PLoS ONE. 12(1). e0168540–e0168540. 48 indexed citations
13.
Pugliese, Emanuele, et al.. (2017). Economic development and wage inequality: A complex system analysis. PLoS ONE. 12(9). e0182774–e0182774. 57 indexed citations
14.
Room, Graham, A. Spence, Evangelos Evangelou, et al.. (2017). Dynamics of cumulative innovation in complex social systems (DCICSS). The University of Bath Online Publications Store (The University of Bath). 2 indexed citations
15.
Pugliese, Emanuele, Andrea Zaccaria, & L. Pietronero. (2016). On the convergence of the Fitness-Complexity algorithm. The European Physical Journal Special Topics. 225(10). 1893–1911. 57 indexed citations
16.
Dosi, Giovanni, Daniele Moschella, Emanuele Pugliese, & Federico Tamagni. (2015). Productivity, market selection, and corporate growth: comparative evidence across US and Europe. Small Business Economics. 45(3). 643–672. 46 indexed citations
17.
Michelini, Marisa, Emanuele Pugliese, & L. Santi. (2014). Mass from Classical Physics to Special Relativity: Learning Results. 141–153. 1 indexed citations
18.
Moschella, Daniele, et al.. (2013). The spinning jenny and the guillotine: technology diffusion at the time of revolutions. Cliometrica. 8(1). 5–26. 7 indexed citations
19.
Moschella, Daniele, et al.. (2011). The Spinning Jenny and the Industrial Revolution: A Reappraisal. The Journal of Economic History. 71(2). 455–460. 1 indexed citations
20.
Pugliese, Emanuele & Claudio Castellano. (2009). Heterogeneous pair approximation for voter models on networks. Europhysics Letters (EPL). 88(5). 58004–58004. 56 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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