Amparo Baı́llo

493 citations
25 papers · 324 · h-index 10

Impact in

Papers in

    • Statistical Methods and Inference 14
    • Advanced Statistical Methods and Models 7
    • Statistical Distribution Estimation and Applications 3
    • Fuzzy Systems and Optimization 2
    • Statistical Methods and Bayesian Inference 2
    • Bayesian Methods and Mixture Models 4

Amparo Baı́llo

22 papers receiving 318 citations

Peers

Amparo Baı́llo
Comparison fields: 5 of 71
  • Statistics and Probability 198
  • Statistics, Probability and Uncertainty 32
  • Applied Mathematics 32
  • Artificial Intelligence 96
  • General Decision Sciences 3
Replace Peng Zeng with:
Peng Zeng United States
Norberto Corral Spain
Ker-Chau Li United States
Shunpu Zhang United States
Zhongzhan Zhang China
Abhik Ghosh India
Khursheed Alam United States
Alessandra Giovagnoli Italy
B. Raja Rao United States
Luisa Turrin Fernholz United States
Amparo Baı́llo relative to Peng Zeng United States Peng Zeng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amparo Baı́llo

Since Specialization
Citations

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

Fields of papers citing papers by Amparo Baı́llo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200896
2 200138
3 201236
4 200324
5 201117
6 200116
7 200614
8 202113
9 202311
10 20189
11 20087
12 20076
13 20086
14 20096
15 20096
16 20086
17 20224
18 20012
19 20212
20 20202

About Amparo Baı́llo

Amparo Baı́llo is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Applied Mathematics and Small Animals, having authored 25 papers that have together received 324 indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Advanced Statistical Methods and Models (7 papers), Point processes and geometric inequalities (4 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Distribution Estimation and Applications (3 papers), Fuzzy Systems and Optimization (2 papers), Wildlife Ecology and Conservation (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (198 citations), Statistics, Probability and Uncertainty (32 citations), Applied Mathematics (32 citations), Artificial Intelligence (96 citations) and General Decision Sciences (3 citations). Amparo Baı́llo has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include Aurea Grané, Antonio Cuevas, Juan A. Cuesta‐Albertos, José E. Chacón, Borja Holgado, Sergio Barrondo, Joan Sallés, Beatriz Vega, Pilar Lucas and Rubén Barroso. Their work appears in journals such as Advances in Applied Probability, Applied Stochastic Models in Business and Industry, IEEE Transactions on Reliability, Journal of Statistical Computation and Simulation and Journal of Mathematical Analysis and Applications.

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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