Miguel A. Delgado

2.2k citations
46 papers · 1.3k indexed · h-index 18

Miguel A. Delgado

44 papers receiving 1.2k citations

Peers

Miguel A. Delgado
Comparison fields: 5 of 89
  • General Economics, Econometrics and Finance 578
  • Statistics and Probability 426
  • Finance 280
  • Economics and Econometrics 685
  • Strategy and Management 332
Replace Guido M. Kuersteiner with:
Guido M. Kuersteiner United States
David Veredas Belgium
David N. DeJong United States
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Yoon‐Jae Whang South Korea
Charles H. Whiteman United States
A. L. Nagar India
Sung K. Ahn United States
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Miguel A. Delgado relative to Guido M. Kuersteiner United States Guido M. Kuersteiner's profile →
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Guido M. Kuersteiner · 1×
Citations per year

Countries citing papers authored by Miguel A. Delgado

Since Specialization
Citations

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

Fields of papers citing papers by Miguel A. Delgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. Delgado. 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 Miguel A. Delgado. The network helps show where Miguel A. Delgado may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Miguel A. Delgado, 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 Miguel A. Delgado Line = papers co-authored together Miguel A. Delgado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 201515
3 201223
4 20112
5 201117
6 20094
7
A NEW CLASS OF DISTRIBUTION-FREE TESTS FOR TIME SERIES MODELS SPECIFICATION
20091
8
Consistent Tests of Conditional Moment Restrictions
200613
9 200536
10 20052
11 20041
12 20021
13 2001103
14 200164
15 200016
16
NONPARAMETRIC CURVE ESTIMATION: AN OVERVIEW
19974
17 199715
18
On asymptotic interferences in non-parametric and semiparametric models with discrete and mixed regressors
19956
19 199529
20 199426

About Miguel A. Delgado

Miguel A. Delgado is a scholar working on Statistics and Probability, Finance and General Economics, Econometrics and Finance, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (24 papers), Financial Risk and Volatility Modeling (20 papers), Monetary Policy and Economic Impact (12 papers), Advanced Statistical Methods and Models (11 papers), Complex Systems and Time Series Analysis (6 papers), Market Dynamics and Volatility (5 papers), Advanced Statistical Process Monitoring (4 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (578 citations), Statistics and Probability (426 citations) and Finance (280 citations). Miguel A. Delgado has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include José Carlos Fariñas, Sonia Ruano, Wenceslao González–Manteiga, Peter M. Robinson, Juan Carlos Escanciano, Javier Hidalgo, Carlos Velasco, Juan M. Rodríguez‐Póo, Michael Wolf and Thomas J. Kniesner. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Biometrika.

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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