Umberto Triacca

572 total citations
42 papers, 423 citations indexed

About

Umberto Triacca is a scholar working on Economics and Econometrics, Global and Planetary Change and General Economics, Econometrics and Finance. According to data from OpenAlex, Umberto Triacca has authored 42 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Economics and Econometrics, 14 papers in Global and Planetary Change and 10 papers in General Economics, Econometrics and Finance. Recurrent topics in Umberto Triacca's work include Climate variability and models (13 papers), Complex Systems and Time Series Analysis (11 papers) and Monetary Policy and Economic Impact (10 papers). Umberto Triacca is often cited by papers focused on Climate variability and models (13 papers), Complex Systems and Time Series Analysis (11 papers) and Monetary Policy and Economic Impact (10 papers). Umberto Triacca collaborates with scholars based in Italy, United States and Canada. Umberto Triacca's co-authors include Alessandro Attanasio, Antonello Pasini, Francesca Di Iorio, Edoardo Otranto, Éric Renault, Emmanuel Kwasi Mensah, Marco Lippi, Andrei Volodin and Marco Valente and has published in prestigious journals such as Journal of Climate, Physics Letters A and International Journal of Climatology.

In The Last Decade

Umberto Triacca

39 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Umberto Triacca Italy 10 203 174 115 45 42 42 423
Jien Chen Hong Kong 7 246 1.2× 55 0.3× 120 1.0× 42 0.9× 48 1.1× 8 582
Andrew B. Martinez United States 11 69 0.3× 58 0.3× 75 0.7× 40 0.9× 10 0.2× 44 315
Alexander I. Jordan Germany 8 88 0.4× 38 0.2× 78 0.7× 55 1.2× 50 1.2× 14 325
Stephan Schlüter Germany 8 49 0.2× 104 0.6× 32 0.3× 35 0.8× 66 1.6× 25 289
Fabian Krüger Germany 8 64 0.3× 83 0.5× 49 0.4× 44 1.0× 27 0.6× 19 293
Eike Christian Brechmann Germany 7 122 0.6× 170 1.0× 29 0.3× 53 1.2× 42 1.0× 11 545
Howard Grubb United Kingdom 10 51 0.3× 47 0.3× 56 0.5× 19 0.4× 21 0.5× 13 307
Veronika Stolbova Germany 7 170 0.8× 138 0.8× 92 0.8× 14 0.3× 29 0.7× 10 343
Flavio Pons France 11 159 0.8× 65 0.4× 140 1.2× 16 0.4× 25 0.6× 24 390
H. Joseph Newton United States 11 44 0.2× 83 0.5× 64 0.6× 44 1.0× 66 1.6× 43 377

Countries citing papers authored by Umberto Triacca

Since Specialization
Citations

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

Fields of papers citing papers by Umberto Triacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umberto Triacca

This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Triacca. A scholar is included among the top collaborators of Umberto Triacca 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 Umberto Triacca. Umberto Triacca 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.
Triacca, Umberto, et al.. (2025). A panel data study of causality links between CO2 concentration and temperature. Environmental Research Letters. 20(7). 74008–74008.
2.
Triacca, Umberto, et al.. (2021). Forecasting the number of confirmed new cases of COVID-19 in Italy for the period from 19 May to 2 June 2020. Infectious Disease Modelling. 6. 362–369. 7 indexed citations
3.
Triacca, Umberto & Antonello Pasini. (2021). The nature of the trend in global and hemispheric temperatures. International Journal of Climatology. 41(12). 5776–5784. 1 indexed citations
4.
Triacca, Umberto & Antonello Pasini. (2018). Arctic amplification: evidence from a cluster analysis of temperature time series for eight latitude bands. Theoretical and Applied Climatology. 137(1-2). 505–511. 1 indexed citations
5.
Triacca, Umberto & Francesca Di Iorio. (2018). Latitudinal variability of the dynamic linkage between temperature and atmospheric carbon dioxide concentrations. Theoretical and Applied Climatology. 136(3-4). 1001–1007. 2 indexed citations
6.
Pasini, Antonello, Umberto Triacca, & Alessandro Attanasio. (2016). Evidence for the role of the Atlantic multidecadal oscillation and the ocean heat uptake in hiatus prediction. Theoretical and Applied Climatology. 129(3-4). 873–880. 12 indexed citations
7.
Mensah, Emmanuel Kwasi, et al.. (2016). Crude oil price, exchange rate and gross domestic product nexus in an emerging market: A cointegration analysis. OPEC Energy Review. 40(2). 212–231. 8 indexed citations
8.
Triacca, Umberto. (2015). A Pitfall in Using the Characterization of Granger Non-Causality in Vector Autoregressive Models. Econometrics. 3(2). 233–239. 1 indexed citations
9.
Pasini, Antonello, Umberto Triacca, & Alessandro Attanasio. (2014). On the role of sulfates in recent global warming: a Granger causality analysis. International Journal of Climatology. 35(12). 3701–3706. 7 indexed citations
10.
Triacca, Umberto, Alessandro Attanasio, & Antonello Pasini. (2013). Anthropogenic global warming hypothesis: testing its robustness by Granger causality analysis. Environmetrics. 24(4). 260–268. 35 indexed citations
11.
Attanasio, Alessandro, Antonello Pasini, & Umberto Triacca. (2013). Granger Causality Analyses for Climatic Attribution. Atmospheric and Climate Sciences. 3(4). 515–522. 44 indexed citations
12.
Triacca, Umberto, et al.. (2012). Estimating overnight volatility of asset returns by using the generalized dynamic factor model approach. Decisions in Economics and Finance. 37(2). 235–254. 2 indexed citations
13.
Triacca, Umberto, et al.. (2007). Testing for Equal Predictability of Stationary ARMA Processes. Journal of Applied Statistics. 34(9). 1091–1108. 5 indexed citations
14.
Triacca, Umberto. (2007). On the variance of the error associated to the squared return as proxy of volatility. Applied Financial Economics Letters. 3(4). 255–257. 10 indexed citations
15.
Triacca, Umberto, et al.. (2006). Interpreting the concept of joint unpredictability of asset returns: A distance approach. Physica A Statistical Mechanics and its Applications. 369(2). 765–770.
16.
Otranto, Edoardo & Umberto Triacca. (2004). Measures to evaluate the discrepancy between direct and indirect model-based seasonal adjustment. Quality Engineering. 49(1). 93–96. 8 indexed citations
17.
Triacca, Umberto. (2001). On the use of Granger causality to investigate the human influence on climate. Theoretical and Applied Climatology. 69(3-4). 137–138. 32 indexed citations
18.
Triacca, Umberto. (2000). COINTEGRATION AND DISTANCE BETWEEN INFORMATION SETS. Econometric Theory. 16(1). 102–111. 2 indexed citations
19.
Triacca, Umberto, et al.. (1999). Social Change: Measurement and Theory*. International Statistical Review. 67(1). 49–62. 5 indexed citations
20.
Triacca, Umberto. (1998). Non-causality: The role of the omitted variables. Economics Letters. 60(3). 317–320. 29 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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