J. M. Gomes

5.0k total citations · 1 hit paper
41 papers, 1.6k citations indexed

About

J. M. Gomes is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, J. M. Gomes has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Astronomy and Astrophysics, 27 papers in Instrumentation and 4 papers in Nuclear and High Energy Physics. Recurrent topics in J. M. Gomes's work include Galaxies: Formation, Evolution, Phenomena (33 papers), Astronomy and Astrophysical Research (27 papers) and Stellar, planetary, and galactic studies (20 papers). J. M. Gomes is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (33 papers), Astronomy and Astrophysical Research (27 papers) and Stellar, planetary, and galactic studies (20 papers). J. M. Gomes collaborates with scholars based in Portugal, Spain and France. J. M. Gomes's co-authors include R. Cid Fernandes, A. Mateus, G. Stasińska, L. Sodré, P. Papaderos, N. Vale Asari, W. Schoenell, M. Schlickmann, J. P. Torres-Papaqui and J. M. Vı́lchez and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Monthly Notices of the Royal Astronomical Society Letters.

In The Last Decade

J. M. Gomes

39 papers receiving 1.6k citations

Hit Papers

Semi-empirical analysis of Sloan Digital Sky Survey galax... 2005 2026 2012 2019 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. M. Gomes Portugal 14 1.6k 844 132 70 51 41 1.6k
M. E. Cluver Australia 23 1.6k 1.0× 735 0.9× 205 1.6× 92 1.3× 59 1.2× 76 1.7k
R. F. J. van der Burg United States 26 1.6k 1.1× 1.0k 1.2× 200 1.5× 78 1.1× 69 1.4× 58 1.7k
Igor Chilingarian Russia 22 1.4k 0.9× 806 1.0× 168 1.3× 59 0.8× 47 0.9× 69 1.5k
David A. Thilker United States 25 1.9k 1.2× 696 0.8× 189 1.4× 42 0.6× 55 1.1× 69 2.0k
M. Scodeggio Italy 21 1.6k 1.0× 882 1.0× 179 1.4× 59 0.8× 37 0.7× 61 1.6k
E. Ricciardelli Spain 17 2.0k 1.3× 1.3k 1.5× 121 0.9× 81 1.2× 70 1.4× 22 2.0k
L. Ciesla France 21 1.7k 1.1× 772 0.9× 248 1.9× 64 0.9× 75 1.5× 38 1.8k
А. В. Мосенков Russia 20 1.1k 0.7× 476 0.6× 82 0.6× 55 0.8× 61 1.2× 76 1.2k
Stéphane Charlot France 4 2.3k 1.5× 1.1k 1.2× 194 1.5× 51 0.7× 82 1.6× 6 2.3k
S. Verley Spain 22 1.2k 0.8× 504 0.6× 167 1.3× 65 0.9× 68 1.3× 55 1.3k

Countries citing papers authored by J. M. Gomes

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. M. Gomes

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Gomes. A scholar is included among the top collaborators of J. M. Gomes 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 J. M. Gomes. J. M. Gomes 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.
Humphrey, A., et al.. (2024). Identifying type II quasars at intermediate redshift with few-shot learning photometric classification. Astronomy and Astrophysics. 687. A269–A269. 1 indexed citations
2.
Chies-Santos, Ana L., et al.. (2023). Spatially resolved self-consistent spectral modelling of jellyfish galaxies from MUSE with FADO: trends with mass and stripping intensity. Monthly Notices of the Royal Astronomical Society. 523(3). 4680–4692. 3 indexed citations
3.
Galbany, L., et al.. (2022). Stellar Populations in type Ia supernova host galaxies at intermediate-high redshift: Star formation and metallicity enrichment histories. Monthly Notices of the Royal Astronomical Society. 517(3). 3312–3331. 2 indexed citations
4.
Gomes, J. M., P. Papaderos, C. Pappalardo, et al.. (2022). Revisiting stellar properties of star-forming galaxies with stellar and nebular spectral modelling. Astronomy and Astrophysics. 667. A11–A11. 7 indexed citations
5.
Ziegler, B., Michaela Hirschmann, P. Papaderos, et al.. (2020). . Springer Link (Chiba Institute of Technology). 1 indexed citations
6.
Papaderos, P., et al.. (2020). Indications of the invalidity of the exponentiality of the disk within bulges of spiral galaxies. Springer Link (Chiba Institute of Technology). 15 indexed citations
7.
Papaderos, P., J. M. Gomes, J. M. Vı́lchez, et al.. (2020). . Springer Link (Chiba Institute of Technology). 20 indexed citations
8.
Papaderos, P., et al.. (2019). A new fitting concept for the robust determination of Sérsic model parameters. Springer Link (Chiba Institute of Technology). 6 indexed citations
9.
Buitrago, F., P. Papaderos, I. Matute, et al.. (2019). Structural analysis of massive galaxies using HST deep imaging at z < 0.5. Astronomy and Astrophysics. 634. A11–A11. 9 indexed citations
10.
Gomes, J. M. & P. Papaderos. (2018). Fitting Analysis using Differential evolution Optimization (FADO). Astronomy and Astrophysics. 618. C3–C3. 5 indexed citations
11.
Gomes, J. M., et al.. (2017). Impact of an AGN featureless continuum on estimation of stellar population properties. Springer Link (Chiba Institute of Technology). 22 indexed citations
12.
Gomes, J. M. & P. Papaderos. (2017). Fitting Analysis using Differential evolution Optimization (FADO):. Astronomy and Astrophysics. 603. A63–A63. 50 indexed citations
13.
Gomes, J. M., et al.. (2016). Semi-empirical AGN detection threshold in spectral synthesis studies of Lyman-continuum-leaking early-type galaxies. Springer Link (Chiba Institute of Technology). 2 indexed citations
14.
Gomes, J. M. & P. Papaderos. (2016). RemoveYoung: A tool for the removal of the young stellar component in galaxies within an adjustable age cutoff. Springer Link (Chiba Institute of Technology). 7 indexed citations
15.
Gomes, J. M., P. Papaderos, & J. M. Vı́lchez. (2016). Spiral-like star-forming patterns in CALIFA early-type galaxies. Springer Link (Chiba Institute of Technology). 35 indexed citations
16.
Sánchez-Janssen, Rubén, R. Amorín, M. L. García-Vargas, et al.. (2013). A Virtual Observatory Census to Address Dwarfs Origins (AVOCADO). Astronomy and Astrophysics. 554. A20–A20. 8 indexed citations
17.
Fernandes, R. Cid, et al.. (2011). STARLIGHT: Spectral Synthesis Code. Astrophysics Source Code Library. 7 indexed citations
18.
Fernandes, R. Cid, M. Schlickmann, G. Stasińska, et al.. (2009). The Starburst-AGN Disconnection: LINERs as Retired Galaxies. ASPC. 408(2). 122–242. 1 indexed citations
19.
Asari, N. Vale, G. Stasińska, R. Cid Fernandes, et al.. (2009). The evolution of the mass—metallicity relation in SDSS galaxies uncovered by astropaleontology. Monthly Notices of the Royal Astronomical Society Letters. 396(1). L71–L75. 36 indexed citations
20.
Stasińska, G., N. Vale Asari, R. Cid Fernandes, et al.. (2008). Can retired galaxies mimic active galaxies? Clues from the Sloan Digital Sky Survey. Monthly Notices of the Royal Astronomical Society Letters. 391(1). L29–L33. 228 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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