Gabriel A. Caceres

984 total citations
7 papers, 87 citations indexed

About

Gabriel A. Caceres is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistics and Probability. According to data from OpenAlex, Gabriel A. Caceres has authored 7 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Astronomy and Astrophysics, 2 papers in Instrumentation and 2 papers in Statistics and Probability. Recurrent topics in Gabriel A. Caceres's work include Stellar, planetary, and galactic studies (4 papers), Astronomy and Astrophysical Research (2 papers) and Advanced Statistical Methods and Models (2 papers). Gabriel A. Caceres is often cited by papers focused on Stellar, planetary, and galactic studies (4 papers), Astronomy and Astrophysical Research (2 papers) and Advanced Statistical Methods and Models (2 papers). Gabriel A. Caceres collaborates with scholars based in United States, Italy and Germany. Gabriel A. Caceres's co-authors include Eric D. Feigelson, G. Jogesh Babu, George Athanasopoulos, Mitchell O’Hara-Wild, Earo Wang, Rob J. Hyndman, Farah Yasmeen, Fotios Petropoulos, Christoph Bergmeir and Dan Hooper and has published in prestigious journals such as The Astronomical Journal, The Astrophysical Journal Letters and Frontiers in Physics.

In The Last Decade

Gabriel A. Caceres

7 papers receiving 82 citations

Peers

Gabriel A. Caceres
Comparison fields: 5 of 53
  • Astronomy and Astrophysics 43
  • Nuclear and High Energy Physics 23
  • Instrumentation 12
  • Global and Planetary Change 9
  • Oceanography 8
Replace Laila Linke with:
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Michiel van Haarlem Netherlands
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D. P. Hogan United States
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Nick Hand United States
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Laila Linke Germany View profile →
Citations per field, relative to Gabriel A. Caceres
Gabriel A. Caceres · 1×
Citations per year, relative to Gabriel A. Caceres
Gabriel A. Caceres · 1×

Countries citing papers authored by Gabriel A. Caceres

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel A. Caceres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel A. Caceres

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel A. Caceres. A scholar is included among the top collaborators of Gabriel A. Caceres 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 Gabriel A. Caceres. Gabriel A. Caceres is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 2
2 2
3 3
4
Forecasting Functions for Time Series and Linear Models [R package forecast version 8.13]
33
5 1
6 43
7 3

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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2026