A. Rojas

958 total citations
23 papers, 651 citations indexed

About

A. Rojas is a scholar working on Astronomy and Astrophysics, Instrumentation and Materials Chemistry. According to data from OpenAlex, A. Rojas has authored 23 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 4 papers in Materials Chemistry. Recurrent topics in A. Rojas's work include Galaxies: Formation, Evolution, Phenomena (7 papers), Astronomy and Astrophysical Research (4 papers) and Stellar, planetary, and galactic studies (3 papers). A. Rojas is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (7 papers), Astronomy and Astrophysical Research (4 papers) and Stellar, planetary, and galactic studies (3 papers). A. Rojas collaborates with scholars based in United Kingdom, United States and Colombia. A. Rojas's co-authors include Anthony Brockwell, Robert E. Kass, S. P. Bamford, Boris Häußler, Marina Vika, R. C. Nichol, A. Borch, Richard J. Tuffs, I. K. Baldry and C. C. Popescu and has published in prestigious journals such as Journal of Neurophysiology, Food Chemistry and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

A. Rojas

19 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Rojas United Kingdom 11 362 229 167 113 69 23 651
Xiaolong Yang China 19 899 2.5× 475 2.1× 45 0.3× 170 1.5× 131 1.9× 51 1.3k
Butler Hine United States 12 296 0.8× 67 0.3× 19 0.1× 25 0.2× 8 0.1× 50 567
Ryuji Suzuki Japan 11 220 0.6× 138 0.6× 9 0.1× 4 0.0× 62 0.9× 48 490
S. H. Oh South Korea 12 160 0.4× 37 0.2× 13 0.1× 7 0.1× 6 0.1× 47 545
X. Rosalind Wang Australia 15 77 0.2× 6 0.0× 74 0.4× 12 0.1× 18 0.3× 40 577
F. Martel Canada 13 219 0.6× 13 0.1× 34 0.2× 15 0.1× 6 0.1× 37 741
Richard D. Juday United States 13 88 0.2× 16 0.1× 46 0.3× 12 0.1× 3 0.0× 81 811
Jiaxin Wang China 10 194 0.5× 119 0.5× 2 0.0× 15 0.1× 16 0.2× 44 335
François Legrand France 11 115 0.3× 10 0.0× 63 0.4× 11 0.1× 2 0.0× 60 452
Andrew Hyslop United States 9 62 0.2× 7 0.0× 18 0.1× 30 0.3× 3 0.0× 17 302

Countries citing papers authored by A. Rojas

Since Specialization
Citations

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

Fields of papers citing papers by A. Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Rojas

This figure shows the co-authorship network connecting the top 25 collaborators of A. Rojas. A scholar is included among the top collaborators of A. Rojas 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 A. Rojas. A. Rojas 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.
Rojas, A., et al.. (2024). Python para las humanidades digitales. 1 indexed citations
2.
Ghildiyal, Pankaj, et al.. (2023). High-yield spray drying assembly and reactive properties of nanoenergetic mesoparticle composites. Advanced Powder Technology. 34(7). 104075–104075. 11 indexed citations
3.
Rojas, A., et al.. (2023). Crystallization kinetics in a lithium disilicate glass revisited: Model-free and model-fitting approaches. Journal of Non-Crystalline Solids. 617. 122494–122494. 3 indexed citations
4.
Ghildiyal, Pankaj, Feiyu Xu, A. Rojas, et al.. (2023). Magnesium-Enhanced Reactivity of Boron Particles: Role of Mg/B2O3 Exothermic Surface Reactions. Energy & Fuels. 37(4). 3272–3279. 10 indexed citations
5.
Rojas, A., et al.. (2021). Mucilage and cellulosic derivatives as clarifiers for the improvement of the non-centrifugal sugar production process. Food Chemistry. 367. 130657–130657. 8 indexed citations
6.
Rojas, A., et al.. (2021). Evaluation of metabolic syndromes and parasitic infection in Muscovy ducks under different management conditions. Tropical Animal Health and Production. 53(5). 493–493. 3 indexed citations
7.
Rojas, A., et al.. (2020). Assessment of two sludge stabilization methods in a wastewater treatment plant in Sotaquirá, Colombia. Universitas Scientiarum. 25(1). 17–36. 6 indexed citations
8.
Rojas, A., et al.. (2018). Improved Models for Analysis of Motor-Cortical Signals. Figshare.
9.
Vika, Marina, Benedetta Vulcani, S. P. Bamford, Boris Häußler, & A. Rojas. (2015). MegaMorph: classifying galaxy morphology using multi-wavelength Sérsic profile fits. Springer Link (Chiba Institute of Technology). 20 indexed citations
10.
Vulcani, Benedetta, S. P. Bamford, Boris Häußler, et al.. (2014). Galaxy And Mass Assembly (GAMA): the wavelength-dependent sizes and profiles of galaxies revealed by MegaMorph. Monthly Notices of the Royal Astronomical Society. 441(2). 1340–1362. 71 indexed citations
11.
Vika, Marina, S. P. Bamford, Boris Häußler, & A. Rojas. (2014). MegaMorph – multiwavelength measurement of galaxy structure: physically meaningful bulge–disc decomposition of galaxies near and far. Monthly Notices of the Royal Astronomical Society. 444(4). 3603–3621. 39 indexed citations
12.
Vika, Marina, S. P. Bamford, Boris Häußler, et al.. (2013). MegaMorph – multiwavelength measurement of galaxy structure. Sérsic profile fits to galaxies near and far. Monthly Notices of the Royal Astronomical Society. 435(1). 623–649. 81 indexed citations
13.
Häußler, Boris, S. P. Bamford, Marina Vika, et al.. (2013). MegaMorph – multiwavelength measurement of galaxy structure: complete Sérsic profile information from modern surveys. Monthly Notices of the Royal Astronomical Society. 430(1). 330–369. 144 indexed citations
14.
Bamford, S. P., Boris Häußler, A. Rojas, & A. Borch. (2011). Measuring the Physical Properties of Galaxy Components Using Modern Surveys. ASPC. 442. 479. 1 indexed citations
15.
Häußler, Boris, M. Barden, S. P. Bamford, & A. Rojas. (2011). Galapagos: A Semi-Automated Tool for Galaxy Profile Fitting. ASPC. 442. 155. 2 indexed citations
16.
Bamford, S. P., et al.. (2011). Measuring SEDs for individual galaxy components. Proceedings of the International Astronomical Union. 7(S284). 301–305.
17.
Bamford, S. P., A. Rojas, R. C. Nichol, et al.. (2008). Revealing components of the galaxy population through non-parametric techniques. Monthly Notices of the Royal Astronomical Society. 391(2). 607–616. 25 indexed citations
18.
Cómina, Germán, et al.. (2006). Prototipo de fibrómetro digital computarizado para medición automática del espesor de fibra de alpaca. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).
19.
Brockwell, Anthony, A. Rojas, & Robert E. Kass. (2004). Recursive Bayesian Decoding of Motor Cortical Signals by Particle Filtering. Journal of Neurophysiology. 91(4). 1899–1907. 185 indexed citations
20.
Rojas, A., et al.. (1999). Una prueba basada en rachas para simetría al rededor de una mediana específica. Revista Colombiana de Estadística. 22(2). 1 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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