Ana M. Pires

661 citations
32 papers · 382 indexed · h-index 14
Topics
Advanced Statistical Methods and Models (13 papers)Statistical Methods and Inference (8 papers)Advanced Statistical Process Monitoring (7 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsStatistics in Medicine

In The Last Decade

Ana M. Pires

30 papers receiving 360 citations

Peers

Ana M. Pires
Comparison fields: 5 of 124
  • Statistics and Probability 80
  • Artificial Intelligence 58
  • Genetics 56
  • Plant Science 44
  • Health, Toxicology and Mutagenesis 36
Replace Graciela Estévez‐Pérez with:
Graciela Estévez‐Pérez Spain
Gerard Austin United Kingdom
Juvêncio S. Nobre Brazil
Jeffrey D. Picka Canada
Laurence L. George United States
Iain Weir United Kingdom
Michael C. Denham United Kingdom
Sriyanka Lahiri United States
Jeffrey A. Witmer United States
Nabendu Pal United States
Ana M. Pires relative to Graciela Estévez‐Pérez Spain Graciela Estévez‐Pérez's profile →
Citations per field
00.5×3.7×
Graciela Estévez‐Pérez · 1×
Citations per year

Countries citing papers authored by Ana M. Pires

Since Specialization
Citations

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

Fields of papers citing papers by Ana M. Pires

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana M. Pires. 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 Ana M. Pires. The network helps show where Ana M. Pires may publish in the future.

Co-authorship network of co-authors of Ana M. Pires

This figure shows the co-authorship network connecting the top 25 collaborators of Ana M. Pires. A scholar is included among the top collaborators of Ana M. Pires 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 Ana M. Pires. Ana M. Pires 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
#WorkIndexed citations
1 1
2 3
3 7
4 3
5 13
6 23
7 4
8 35
9 6
10 4
11 5
12 16
13 16
14 13
15 15
16 22
17 1
18
The gnathiids from the Brazilian southeastern continental shelf and slopec distributionc ecological notes and description of three new species lCrustaceac Isopodac Gnathiidaer
13
19 10
20 9

About Ana M. Pires

Ana M. Pires is a scholar working on Statistics and Probability, Computational Mathematics and Statistics, Probability and Uncertainty, having authored 32 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (8 papers) and Advanced Statistical Process Monitoring (7 papers). The work is most often cited by research in Statistics and Probability (80 citations), Statistics, Probability and Uncertainty (32 citations) and Nature and Landscape Conservation (33 citations). Ana M. Pires has collaborated with scholars based in Portugal, Argentina and United States. Frequent co-authors include João A. Branco, Carla Santos Pereira, Vanda Lourenço, Matias Kirst, Graciela Boente, Ana Picado, Conceiçāo Amado, Elsa Mendonça, Paul Tilyard and Craig Hardner. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Statistics in Medicine.

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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