Judit Camacho

459 total citations
9 papers, 312 citations indexed

About

Judit Camacho is a scholar working on Astronomy and Astrophysics, Instrumentation and Infectious Diseases. According to data from OpenAlex, Judit Camacho has authored 9 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 0 papers in Infectious Diseases. Recurrent topics in Judit Camacho's work include Stellar, planetary, and galactic studies (9 papers), Gamma-ray bursts and supernovae (5 papers) and Astronomy and Astrophysical Research (5 papers). Judit Camacho is often cited by papers focused on Stellar, planetary, and galactic studies (9 papers), Gamma-ray bursts and supernovae (5 papers) and Astronomy and Astrophysical Research (5 papers). Judit Camacho collaborates with scholars based in Spain, Chile and Argentina. Judit Camacho's co-authors include E. Garcı́a–Berro, Santiago Torres, B. T. Gänsicke, M. R. Schreiber, A. Rebassa–Mansergas, M. Zorotovic, J. Isern, L. G. Althaus, A. H. Córsico and B. Külebi and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Judit Camacho

7 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judit Camacho Spain 6 301 67 14 12 9 9 312
J. Alonso-Santiago Italy 11 227 0.8× 95 1.4× 19 1.4× 12 1.0× 11 1.2× 23 234
Laura Murphy Switzerland 10 335 1.1× 137 2.0× 16 1.1× 8 0.7× 8 0.9× 11 349
A. F. Martínez Fiorenzano Italy 10 265 0.9× 99 1.5× 7 0.5× 9 0.8× 5 0.6× 14 270
Ö. Çakırlı Türkiye 11 381 1.3× 148 2.2× 12 0.9× 20 1.7× 7 0.8× 59 387
G. Andreuzzi Italy 12 256 0.9× 121 1.8× 22 1.6× 7 0.6× 10 1.1× 28 260
G. A. Wade Canada 8 253 0.8× 81 1.2× 8 0.6× 27 2.3× 4 0.4× 15 257
I. Kh. Iliev Bulgaria 13 418 1.4× 158 2.4× 11 0.8× 15 1.3× 5 0.6× 58 427
Alexey Bobrick Israel 9 222 0.7× 40 0.6× 30 2.1× 9 0.8× 15 1.7× 23 236
M. A. Dupret Belgium 8 249 0.8× 117 1.7× 5 0.4× 15 1.3× 7 0.8× 15 250
V. Perdelwitz Germany 7 186 0.6× 45 0.7× 4 0.3× 8 0.7× 8 0.9× 25 194

Countries citing papers authored by Judit Camacho

Since Specialization
Citations

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

Fields of papers citing papers by Judit Camacho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judit Camacho

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

All Works

9 of 9 papers shown
1.
Camacho, Judit, Santiago Torres, E. Garcı́a–Berro, et al.. (2014). Monte Carlo simulations of post-common-envelope white dwarf + main sequence binaries: comparison with the SDSS DR7 observed sample. Astronomy and Astrophysics. 566. A86–A86. 80 indexed citations
2.
Zorotovic, M., M. R. Schreiber, E. Garcı́a–Berro, et al.. (2014). Monte Carlo simulations of post-common-envelope white dwarf + main sequence binaries: The effects of including recombination energy. Astronomy and Astrophysics. 568. A68–A68. 42 indexed citations
3.
Soker, Noam, Amit Kashi, E. Garcı́a–Berro, Santiago Torres, & Judit Camacho. (2013). Explaining the Type Ia supernova PTF 11kx with a violent prompt merger scenario. Monthly Notices of the Royal Astronomical Society. 431(2). 1541–1546. 62 indexed citations
4.
Garcı́a–Berro, E., P. Lorén–Aguilar, Gabriela Aznar–Siguán, et al.. (2012). DOUBLE DEGENERATE MERGERS AS PROGENITORS OF HIGH-FIELD MAGNETIC WHITE DWARFS. The Astrophysical Journal. 749(1). 25–25. 109 indexed citations
5.
Garcı́a–Berro, E., Santiago Torres, Judit Camacho, et al.. (2011). The white-dwarf cooling sequence of NGC 6791: a unique tool for stellar evolution. Astronomy and Astrophysics. 533. A31–A31. 9 indexed citations
6.
Camacho, Judit, Santiago Torres, E. Garcı́a–Berro, et al.. (2010). Monte Carlo Simulations of the Post-Common-Envelope White-Dwarf Main-Sequence Binary Population. AIP conference proceedings. 22–23. 1 indexed citations
7.
Torres, Santiago, et al.. (2010). White dwarfs with hydrogen-deficient atmospheres and the dark matter content of the Galaxy. Astronomy and Astrophysics. 511. A88–A88.
8.
Torres, Santiago, Judit Camacho, J. Isern, & E. Garcı́a–Berro. (2008). The contribution of red dwarfs and white dwarfs to the halo dark matter. Astronomy and Astrophysics. 486(2). 427–435. 5 indexed citations
9.
Camacho, Judit, Santiago Torres, J. Isern, L. G. Althaus, & E. Garcı́a–Berro. (2007). The contribution of oxygen-neon white dwarfs to the MACHO content of the Galactic halo. Springer Link (Chiba Institute of Technology). 4 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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