Antonio Cuevas

3.3k citations
66 papers · 2.2k · h-index 20

Impact in

Papers in

Antonio Cuevas

62 papers receiving 2.2k citations

Peers

Antonio Cuevas
Comparison fields: 5 of 164
  • Statistics and Probability 1.3k
  • Statistics, Probability and Uncertainty 303
  • Applied Mathematics 217
  • Artificial Intelligence 709
  • Analytical Chemistry 105
Replace Chong Gu with:
Chong Gu United States
Ricardo Fraiman Uruguay
Hervé Cardot France
Pascal Sarda France
Ursula Gather Germany
Juan A. Cuesta‐Albertos Spain
Sadanori Konishi Japan
Manuel Febrero–Bande Spain
Young K. Truong United States
Arjun K. Gupta United States
Antonio Cuevas relative to Chong Gu United States Chong Gu's profile →
Citations per field
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Chong Gu · 1×
Citations per year

Countries citing papers authored by Antonio Cuevas

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Cuevas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Antonio Cuevas, 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 Antonio Cuevas Line = papers co-authored together Antonio Cuevas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003352
2 2013250
3 2007203
4 1994156
5 2005123
6 2002113
7 200084
8 199782
9 200173
10 200870
11 200460
12 200859
13 200056
14 201544
15 200642
16 200138
17 199530
18 201730
19 200828
20
A nonparametric approach to the estimation of lengths and surface areas
200720

About Antonio Cuevas

Antonio Cuevas is a scholar working on Statistics and Probability, Artificial Intelligence, Applied Mathematics, Statistics, Probability and Uncertainty and Geometry and Topology, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (44 papers), Advanced Statistical Methods and Models (27 papers), Bayesian Methods and Mixture Models (20 papers), Point processes and geometric inequalities (18 papers), Advanced Statistical Process Monitoring (7 papers), Statistical Methods and Bayesian Inference (5 papers), Morphological variations and asymmetry (5 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Statistics, Probability and Uncertainty (303 citations), Applied Mathematics (217 citations), Artificial Intelligence (709 citations) and Analytical Chemistry (105 citations). Antonio Cuevas has collaborated with scholars based in Spain, Argentina and Uruguay. Frequent co-authors include Ricardo Fraiman, Manuel Febrero–Bande, Wenceslao González–Manteiga, Ricardo Cao, Alberto Rodríguez‐Casal, José R. Berrendero, Amparo Baı́llo, Juan A. Cuesta‐Albertos, Ana Justel and Beatriz Pateiro‐López. Their work appears in journals such as Advances in Applied Probability, Canadian Journal of Statistics, Computational Statistics & Data Analysis, Journal of Statistical Planning and Inference and Journal of Multivariate Analysis.

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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