Fernando Tusell

20 papers receiving 315 citations

Peers

Fernando Tusell
Comparison fields: 5 of 112
  • Statistics and Probability 37
  • General Economics, Econometrics and Finance 37
  • Economics and Econometrics 108
  • Finance 38
  • Management Science and Operations Research 42
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Citations per year

Countries citing papers authored by Fernando Tusell

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Tusell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Fernando Tusell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando Tusell Line = papers co-authored together Fernando Tusell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008144
2 201143
3 199735
4 201432
5 201519
6 199017
7 199010
8 20197
9 20196
10
Enlace de encuestas: una propuesta metodológica y aplicación a la Encuesta de Presupuestos de Tiempo.
19984
11
Multivariate Data Imputation using Trees
20024
12 20014
13 20144
14 20034
15
Multiple imputation of time series: an application to the construction of historical price indexes
20053
16
Neural Networks and Predictive Matching for Flexible Imputation
20022
17 20112
18
Un modelo aditivo semiparamétrico para estimación de capturas: el caso de las pesquerías de Terranova
19961
19 20071
20 20041

About Fernando Tusell

Fernando Tusell is a scholar working on Economics and Econometrics, Artificial Intelligence, Statistics and Probability, Finance and General Health Professions, having authored 23 papers that have together received 343 indexed citations. Recurring topics across this work include Housing Market and Economics (4 papers), Data Management and Algorithms (2 papers), Financial Markets and Investment Strategies (2 papers), Data Analysis with R (2 papers), Financial Risk and Volatility Modeling (2 papers), Statistical Methods in Clinical Trials (2 papers), Complex Systems and Time Series Analysis (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Statistics and Probability (37 citations), General Economics, Econometrics and Finance (37 citations), Economics and Econometrics (108 citations), Finance (38 citations) and Management Science and Operations Research (42 citations). Fernando Tusell has collaborated with scholars based in Spain and Australia. Frequent co-authors include Patricia Menéndez, Don Weatherburn, Gonzalo Rubio, María Araceli Garín Martín, Esther Corral, A. Herrero San Martín, Andrés Canut, Alicia Rodríguez‐Gascón, Helena Barrasa and Mauricio González. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Journal of Housing Economics, Computational Statistics & Data Analysis, Statistics and Computing and Journal of Statistical Software.

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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