Vı́ctor M. Guerrero

1.0k total citations
69 papers, 654 citations indexed

About

Vı́ctor M. Guerrero is a scholar working on Management Science and Operations Research, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Vı́ctor M. Guerrero has authored 69 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management Science and Operations Research, 21 papers in Economics and Econometrics and 18 papers in General Economics, Econometrics and Finance. Recurrent topics in Vı́ctor M. Guerrero's work include Forecasting Techniques and Applications (21 papers), Monetary Policy and Economic Impact (15 papers) and Advanced Statistical Methods and Models (8 papers). Vı́ctor M. Guerrero is often cited by papers focused on Forecasting Techniques and Applications (21 papers), Monetary Policy and Economic Impact (15 papers) and Advanced Statistical Methods and Models (8 papers). Vı́ctor M. Guerrero collaborates with scholars based in Mexico, United States and Spain. Vı́ctor M. Guerrero's co-authors include Richard A. Johnson, Fernando Esponda, J. Pontt, Javier Martínez, Daniel Peña, Francisco Estrada, Benjamín Martínez‐López, J. Dixon, Carlos Gay-García and Rafael Perera and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Management Science.

In The Last Decade

Vı́ctor M. Guerrero

60 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vı́ctor M. Guerrero Mexico 14 193 167 149 113 66 69 654
Anastasios Panagiotelis Australia 13 224 1.2× 122 0.7× 185 1.2× 71 0.6× 108 1.6× 25 602
Brian C. Monsell United States 7 181 0.9× 56 0.3× 207 1.4× 179 1.6× 37 0.6× 14 595
Simone D. Grose Australia 5 481 2.5× 54 0.3× 137 0.9× 71 0.6× 74 1.1× 8 740
Jeffrey E. Jarrett United States 16 300 1.6× 110 0.7× 180 1.2× 82 0.7× 25 0.4× 94 896
Bonsoo Koo Australia 8 138 0.7× 43 0.3× 101 0.7× 43 0.4× 84 1.3× 24 466
Leonard J. Tashman United States 6 304 1.6× 35 0.2× 140 0.9× 62 0.5× 109 1.7× 8 598
Victor Richmond R. Jose United States 15 415 2.2× 45 0.3× 153 1.0× 44 0.4× 129 2.0× 34 791
Mohd Tahir Ismail Malaysia 13 219 1.1× 44 0.3× 223 1.5× 73 0.6× 88 1.3× 158 705
Yarema Okhrin Germany 15 231 1.2× 158 0.9× 303 2.0× 116 1.0× 59 0.9× 53 830
Vasco d'Orey United States 4 59 0.3× 206 1.2× 209 1.4× 89 0.8× 55 0.8× 8 622

Countries citing papers authored by Vı́ctor M. Guerrero

Since Specialization
Citations

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

Fields of papers citing papers by Vı́ctor M. Guerrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vı́ctor M. Guerrero. 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 Vı́ctor M. Guerrero. The network helps show where Vı́ctor M. Guerrero may publish in the future.

Co-authorship network of co-authors of Vı́ctor M. Guerrero

This figure shows the co-authorship network connecting the top 25 collaborators of Vı́ctor M. Guerrero. A scholar is included among the top collaborators of Vı́ctor M. Guerrero 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 Vı́ctor M. Guerrero. Vı́ctor M. Guerrero 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.
Guerrero, Vı́ctor M., et al.. (2022). The finite sample performance of two methods for choosing a power transformation when seasonally adjusting a time series with X-13ARIMA-SEATS. Communication in Statistics- Theory and Methods. 53(3). 965–979. 1 indexed citations
2.
Guerrero, Vı́ctor M., et al.. (2021). Optimal Reconciliation of Seasonally Adjusted Disaggregates Taking Into Account the Difference Between Direct and Indirect Adjustment of the Aggregate. Journal of Official Statistics. 37(1). 31–51. 1 indexed citations
3.
Guerrero, Vı́ctor M., et al.. (2019). Suavizamiento conjunto del PIB y la tasa de desempleo con un filtro HP bivariado. SHILAP Revista de lepidopterología. 3–24.
4.
Guerrero, Vı́ctor M., et al.. (2018). Ecology, construction, and innovation: An alert towards change. 1 indexed citations
5.
Guerrero, Vı́ctor M., et al.. (2017). Effect of autocorrelation when estimating the trend of a time series via penalized least squares with controlled smoothness. Statistical Methods & Applications. 27(1). 109–130. 2 indexed citations
6.
Lung, K., et al.. (2016). Efficient Combustion Simulation via the Adaptive Wavelet Collocation Method. Bulletin of the American Physical Society. 2016. 1 indexed citations
7.
Dettrick, Sean, F. Ceccherini, Laura Galeotti, et al.. (2015). FPIC: A Key Next Step for Stability Studies of Advanced Beam Driven FRCs. APS Division of Plasma Physics Meeting Abstracts. 2015. 3 indexed citations
8.
Guerrero, Vı́ctor M., et al.. (2015). Trend smoothness achieved by penalized least squares with the smoothing parameter chosen by optimality criteria. Communications in Statistics - Simulation and Computation. 46(2). 1492–1507. 4 indexed citations
9.
Guerrero, Vı́ctor M.. (2013). Capacidad predictiva de los índices cíclicos compuestos para los puntos de giro de la economía mexicana. Americanae (AECID Library). 22(1). 47–99. 1 indexed citations
10.
Guerrero, Vı́ctor M., et al.. (2013). Rapid Estimates of Mexico’s Quarterly GDP. Journal of Official Statistics. 29(3). 397–423. 2 indexed citations
11.
Guerrero, Vı́ctor M., et al.. (2013). Building Scenarios of Multiple Time Series that Take into Account the Effects of an Expected Intervention. Journal of Forecasting. 33(1). 32–46. 2 indexed citations
12.
Estrada, Francisco, Vı́ctor M. Guerrero, Carlos Gay-García, & Benjamín Martínez‐López. (2013). A cautionary note on automated statistical downscaling methods for climate change. Climatic Change. 120(1-2). 263–276. 14 indexed citations
13.
Guerrero, Vı́ctor M., et al.. (2011). A novel non invasive failure detection system for power converters based on SCR rectifiers. 54. 147–152. 1 indexed citations
14.
Guerrero, Vı́ctor M. & Rafael Perera. (2004). Variance Stabilizing Power Transformation for Time Series. Journal of Modern Applied Statistical Methods. 3(2). 357–369. 5 indexed citations
15.
Guerrero, Vı́ctor M.. (2003). Monthly Disaggregation of a Quarterly Time Series and Forecasts of Its Unobservable Monthly Values. Journal of Official Statistics. 19(3). 215. 12 indexed citations
16.
Guerrero, Vı́ctor M., et al.. (1999). Temporal and contemporaneous disaggregation of multiple economic time series. Test. 8(2). 459–489. 13 indexed citations
17.
Guerrero, Vı́ctor M., Daniel Peña, & Pilar Poncela. (1998). Measuring intervention Effects on Multiple Time Series Subjected to Linear Restrictions: A Banking Example. Journal of Business and Economic Statistics. 16(4). 489–497. 2 indexed citations
18.
Guerrero, Vı́ctor M.. (1989). Optimal conditional ARIMA forecasts. Journal of Forecasting. 8(3). 215–229. 19 indexed citations
19.
Guerrero, Vı́ctor M. & Richard A. Johnson. (1984). Transformation of grouped data to near normality. Insurance Mathematics and Economics. 3(4). 257–262. 4 indexed citations
20.

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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