Antonio Arcos

907 total citations
67 papers, 687 citations indexed

About

Antonio Arcos is a scholar working on Statistics and Probability, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Antonio Arcos has authored 67 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Statistics and Probability, 28 papers in Artificial Intelligence and 6 papers in Sociology and Political Science. Recurrent topics in Antonio Arcos's work include Survey Sampling and Estimation Techniques (45 papers), Statistical Methods and Bayesian Inference (41 papers) and Bayesian Methods and Mixture Models (27 papers). Antonio Arcos is often cited by papers focused on Survey Sampling and Estimation Techniques (45 papers), Statistical Methods and Bayesian Inference (41 papers) and Bayesian Methods and Mixture Models (27 papers). Antonio Arcos collaborates with scholars based in Spain, United States and Italy. Antonio Arcos's co-authors include M. Rueda, S. Martínez, Juan Francisco Muñoz Rosas, Maria Giovanna Ranalli, Yuani M. Roman, Mercedes Monteoliva‐Sánchez, Denis Poncelet, Jaime Aguilera, A. Ramos‐Cormenzana and Marı́a Elena Nader-Macı́as and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

In The Last Decade

Antonio Arcos

63 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Arcos Spain 14 526 156 86 65 55 67 687
Rosângela H. Loschi Brazil 14 235 0.4× 129 0.8× 69 0.8× 9 0.1× 19 0.3× 57 560
Jeremias Leão Brazil 14 317 0.6× 75 0.5× 101 1.2× 28 0.4× 6 0.1× 44 522
Ana M. Bianco Argentina 10 211 0.4× 77 0.5× 89 1.0× 9 0.1× 21 0.4× 32 440
Sik‐Yum Lee Hong Kong 10 381 0.7× 158 1.0× 26 0.3× 25 0.4× 31 0.6× 13 517
Chun Yip Yau Hong Kong 11 200 0.4× 65 0.4× 15 0.2× 24 0.4× 8 0.1× 49 528
Gonzalo García‐Donato Spain 12 263 0.5× 123 0.8× 95 1.1× 17 0.3× 10 0.2× 25 604
Brajendra C. Sutradhar Canada 17 707 1.3× 215 1.4× 35 0.4× 7 0.1× 9 0.2× 113 979
Domenico Perrotta Italy 15 234 0.4× 122 0.8× 87 1.0× 112 1.7× 12 0.2× 43 471
Grace Y. Yi Canada 18 673 1.3× 163 1.0× 45 0.5× 15 0.2× 7 0.1× 66 883
B. V. Sukhatme United States 10 504 1.0× 114 0.7× 84 1.0× 26 0.4× 8 0.1× 28 707

Countries citing papers authored by Antonio Arcos

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Arcos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Arcos

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Arcos. A scholar is included among the top collaborators of Antonio Arcos 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 Antonio Arcos. Antonio Arcos 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.
Martínez, S., et al.. (2018). Calibration estimator for Head Count Index. International Journal of Computer Mathematics. 97(1-2). 51–62. 4 indexed citations
2.
Arcos, Antonio, et al.. (2016). Distribution function estimates from dual frame context. Journal of Computational and Applied Mathematics. 318. 242–252. 7 indexed citations
3.
Rueda, M., et al.. (2015). Multinomial logistic estimation in dual frame surveys. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 39(2). 309–336. 7 indexed citations
4.
Martínez, S., et al.. (2014). Determining P optimum calibration points to construct calibration estimators of the distribution function. Journal of Computational and Applied Mathematics. 275. 281–293. 10 indexed citations
5.
Rueda, M., Antonio Arcos, Raghunath Arnab, & Sarjinder Singh. (2013). The Rao, Hartley and Cochran Scheme with Dubious Random Nonresponse in Survey Sampling. Sankhya B. 76(2). 317–333. 2 indexed citations
6.
Arcos, Antonio, et al.. (2012). Estimating population proportions in the presence of missing data. Journal of Computational and Applied Mathematics. 237(1). 470–476. 6 indexed citations
7.
Jiménez-Pranteda, María Luján, Denis Poncelet, Marı́a Elena Nader-Macı́as, et al.. (2011). Stability of lactobacilli encapsulated in various microbial polymers. Journal of Bioscience and Bioengineering. 113(2). 179–184. 63 indexed citations
8.
Rueda, M., et al.. (2011). Indirect estimation of proportions in natural resource surveys. Mathematics and Computers in Simulation. 81(10). 2317–2325. 1 indexed citations
9.
Martínez, S., et al.. (2009). Optimum calibration points estimating distribution functions. Journal of Computational and Applied Mathematics. 233(9). 2265–2277. 17 indexed citations
10.
Rueda, M., et al.. (2009). Mean estimation in the presence of change points. Applied Mathematics Letters. 22(8). 1257–1261. 3 indexed citations
11.
Rueda, M., et al.. (2008). Confidence intervals for quantile estimation using Jackknife techniques. Computational Statistics. 23(4). 573–585. 9 indexed citations
12.
Arcos, Antonio, M. Rueda, & Juan Francisco Muñoz Rosas. (2006). An improved class of estimators of a finite population quantile in sample surveys. Applied Mathematics Letters. 20(3). 312–315. 3 indexed citations
13.
Arcos, Antonio, et al.. (2005). Using multiparametric auxiliary information at the estimation stage. Statistical Papers. 46(3). 339–358. 7 indexed citations
14.
Arcos, Antonio, et al.. (2004). Incorporating the auxiliary information available in variance estimation. Applied Mathematics and Computation. 160(2). 387–399. 31 indexed citations
15.
Rueda, M., et al.. (2004). Indirect methods of imputation of missing data based on available units. Applied Mathematics and Computation. 164(1). 249–261. 15 indexed citations
16.
Rueda, M., Antonio Arcos, & María Dolores Martínez Miranda. (2001). Estimadores indirectos de los cuantiles en poblaciones finitas. 240.
17.
Arcos, Antonio & M. Rueda. (2000). Tamaño y selección de muestras en poblaciones finitas. 2(5). 310–320. 4 indexed citations
18.
Arcos, Antonio & M. Rueda. (1997). Variance estimation using auxiliary information: An almost unbiased multivariate ratio estimator. Metrika. 45(1). 171–178. 32 indexed citations
19.
Rueda, M. & Antonio Arcos. (1996). Repeated substitution method: The ratio estimator for the population variance. Metrika. 43(1). 101–105. 62 indexed citations
20.
Rueda, M., et al.. (1970). Successive Sampling Using A Product Estimate. WIT Transactions on Ecology and the Environment. 30. 2 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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