José Fonseca

1.9k total citations
27 papers, 431 citations indexed

About

José Fonseca is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, José Fonseca has authored 27 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Astronomy and Astrophysics, 10 papers in Nuclear and High Energy Physics and 3 papers in Instrumentation. Recurrent topics in José Fonseca's work include Galaxies: Formation, Evolution, Phenomena (20 papers), Radio Astronomy Observations and Technology (17 papers) and Cosmology and Gravitation Theories (10 papers). José Fonseca is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (20 papers), Radio Astronomy Observations and Technology (17 papers) and Cosmology and Gravitation Theories (10 papers). José Fonseca collaborates with scholars based in United Kingdom, South Africa and Italy. José Fonseca's co-authors include Mário G. Santos, Roy Maartens, David Wands, S. Camera, Asantha Cooray, Marta B. Silva, Steven Cunnington, Marta Spinelli, Alkistis Pourtsidou and Melis O Irfan and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal Supplement Series and Journal of Cosmology and Astroparticle Physics.

In The Last Decade

José Fonseca

25 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Fonseca United Kingdom 13 395 154 68 17 17 27 431
Isabella P. Carucci Italy 11 442 1.1× 280 1.8× 31 0.5× 29 1.7× 17 1.0× 18 479
Steven Cunnington United Kingdom 12 329 0.8× 139 0.9× 48 0.7× 30 1.8× 24 1.4× 21 373
Sourav Mitra India 14 613 1.6× 251 1.6× 151 2.2× 33 1.9× 22 1.3× 21 635
Eric R. Switzer United States 7 333 0.8× 177 1.1× 32 0.5× 16 0.9× 11 0.6× 11 354
Yuanyuan Su United States 13 324 0.8× 89 0.6× 71 1.0× 10 0.6× 19 1.1× 48 404
Marta Spinelli Italy 15 405 1.0× 240 1.6× 43 0.6× 59 3.5× 31 1.8× 25 476
Nadeem Oozeer South Africa 10 224 0.6× 127 0.8× 25 0.4× 44 2.6× 17 1.0× 27 264
K. Paech Germany 11 198 0.5× 247 1.6× 50 0.7× 11 0.6× 7 0.4× 22 401
R. Adam France 7 462 1.2× 227 1.5× 76 1.1× 21 1.2× 14 0.8× 11 482
É. Aubourg France 11 355 0.9× 92 0.6× 82 1.2× 6 0.4× 12 0.7× 21 389

Countries citing papers authored by José Fonseca

Since Specialization
Citations

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

Fields of papers citing papers by José Fonseca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Fonseca

This figure shows the co-authorship network connecting the top 25 collaborators of José Fonseca. A scholar is included among the top collaborators of José Fonseca 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 José Fonseca. José Fonseca 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.
Cunnington, Steven, Alkistis Pourtsidou, Laura Wolz, et al.. (2025). Emission-line Stacking of 21 cm Intensity Maps with MeerKLASS: Inference Pipeline and Application to the L-band Deep-field Data. The Astrophysical Journal Supplement Series. 279(1). 19–19. 1 indexed citations
2.
Karagiannis, D., Roy Maartens, Shun Saito, et al.. (2025). Squeezing information from radio surveys to probe the primordial universe. Journal of Cosmology and Astroparticle Physics. 2025(8). 29–29.
3.
Fonseca, José, et al.. (2025). Gravitational waves and galaxies cross-correlations: a forecast on GW biases for future detectors. Monthly Notices of the Royal Astronomical Society. 537(2). 1912–1923. 1 indexed citations
4.
Santos, Mário G., et al.. (2024). Cosmology with ESO–SKAO Synergies. ArXiv.org.
5.
Karagiannis, D., Roy Maartens, José Fonseca, S. Camera, & Chris Clarkson. (2024). Multi-tracer power spectra and bispectra: formalism. Journal of Cosmology and Astroparticle Physics. 2024(3). 34–34. 8 indexed citations
6.
Santos, Mário G., José Fonseca, Yichao Li, et al.. (2024). Radio frequency interference from radio navigation satellite systems: simulations and comparison to MeerKAT single-dish data. Monthly Notices of the Royal Astronomical Society. 536(1). 1035–1055. 2 indexed citations
7.
Fonseca, José, et al.. (2023). The observed number counts in luminosity distance space. Journal of Cosmology and Astroparticle Physics. 2023(8). 50–50. 11 indexed citations
8.
Cunnington, Steven, Yichao Li, Mário G. Santos, et al.. (2022). H i intensity mapping with MeerKAT: power spectrum detection in cross-correlation with WiggleZ galaxies. Monthly Notices of the Royal Astronomical Society. 518(4). 6262–6272. 56 indexed citations
9.
Wang, Jingying, Mário G. Santos, Philip Bull, et al.. (2021). H iintensity mapping with MeerKAT: calibration pipeline for multidish autocorrelation observations. Monthly Notices of the Royal Astronomical Society. 505(3). 3698–3721. 43 indexed citations
10.
Spinelli, Marta, Isabella P. Carucci, Steven Cunnington, et al.. (2021). SKAO H i intensity mapping: blind foreground subtraction challenge. Monthly Notices of the Royal Astronomical Society. 509(2). 2048–2074. 35 indexed citations
11.
Fonseca, José, et al.. (2021). Multi-wavelength spectroscopic probes: prospects for primordial non-Gaussianity and relativistic effects. arXiv (Cornell University). 16 indexed citations
12.
Fonseca, José, et al.. (2021). Multi-wavelength spectroscopic probes: biases from neglecting light-cone effects. arXiv (Cornell University). 11 indexed citations
13.
Fonseca, José & S. Camera. (2020). High-redshift cosmology with oxygen lines from Hα surveys. Monthly Notices of the Royal Astronomical Society. 495(1). 1340–1348. 5 indexed citations
14.
Camera, S., et al.. (2019). Non-Gaussianity constraints using future radio continuum surveys and the multitracer technique. Monthly Notices of the Royal Astronomical Society. 492(1). 1513–1522. 18 indexed citations
15.
Fonseca, José, et al.. (2018). Improving Early Robotics Education Using a Line-Following Robot Simulator. 547–553. 7 indexed citations
16.
Fonseca, José, Roy Maartens, & Mário G. Santos. (2018). Synergies between intensity maps of hydrogen lines. Monthly Notices of the Royal Astronomical Society. 479(3). 3490–3497. 19 indexed citations
17.
Camera, S., José Fonseca, Roy Maartens, & Mário G. Santos. (2018). Optimized angular power spectra for spectroscopic galaxy surveys. Monthly Notices of the Royal Astronomical Society. 481(1). 1251–1261. 12 indexed citations
18.
Lochner, Michelle, et al.. (2017). zBEAMS: a unified solution for supernova cosmology with redshift uncertainties. Journal of Cosmology and Astroparticle Physics. 2017(10). 36–36. 10 indexed citations
19.
Fonseca, José, Marta B. Silva, Mário G. Santos, & Asantha Cooray. (2016). Cosmology with intensity mapping techniques using atomic and molecular lines. Monthly Notices of the Royal Astronomical Society. 464(2). 1948–1965. 49 indexed citations
20.
Fonseca, José, Misao Sasaki, & David Wands. (2010). Large-scale perturbations from the waterfall field in hybrid inflation. Journal of Cosmology and Astroparticle Physics. 2010(9). 12–12. 19 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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