Dário Passos

1.5k total citations
35 papers, 1.1k citations indexed

About

Dário Passos is a scholar working on Astronomy and Astrophysics, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Dário Passos has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 14 papers in Molecular Biology and 14 papers in Analytical Chemistry. Recurrent topics in Dário Passos's work include Solar and Space Plasma Dynamics (17 papers), Spectroscopy and Chemometric Analyses (14 papers) and Geomagnetism and Paleomagnetism Studies (13 papers). Dário Passos is often cited by papers focused on Solar and Space Plasma Dynamics (17 papers), Spectroscopy and Chemometric Analyses (14 papers) and Geomagnetism and Paleomagnetism Studies (13 papers). Dário Passos collaborates with scholars based in Portugal, Netherlands and Canada. Dário Passos's co-authors include Puneet Mishra, Ilídio Lopes, Paul Charbonneau, Dibyendu Nandy, Rui Guerra, Federico Marini, Alison Nordon, Douglas N. Rutledge, Aoife Gowen and Jean‐Michel Roger and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Analytica Chimica Acta.

In The Last Decade

Dário Passos

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dário Passos Portugal 19 513 334 233 217 206 35 1.1k
Nicholas Anderson Australia 12 226 0.4× 134 0.4× 12 0.1× 72 0.3× 57 0.3× 17 547
Andrés Guesalaga Chile 16 140 0.3× 50 0.1× 24 0.1× 222 1.0× 45 0.2× 80 762
Twan van Laarhoven Netherlands 11 245 0.5× 10 0.0× 860 3.7× 147 0.7× 150 0.7× 28 1.5k
Haoping Huang China 20 205 0.4× 12 0.0× 60 0.3× 90 0.4× 62 0.3× 58 1.1k
Haipeng Wang China 14 201 0.4× 8 0.0× 241 1.0× 133 0.6× 97 0.5× 54 1.0k
C. Collet France 16 310 0.6× 13 0.0× 57 0.2× 117 0.5× 219 1.1× 40 1.2k
Azadeh Golshan Australia 10 265 0.5× 48 0.1× 27 0.1× 58 0.3× 49 0.2× 17 386
Sergey A. Astakhov Russia 7 171 0.3× 63 0.2× 31 0.1× 89 0.4× 16 0.1× 14 376
Christopher D. Brown United States 12 279 0.5× 4 0.0× 154 0.7× 122 0.6× 118 0.6× 23 766
D. R. Scott United States 13 99 0.2× 498 1.5× 85 0.4× 35 0.2× 13 0.1× 42 1.0k

Countries citing papers authored by Dário Passos

Since Specialization
Citations

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

Fields of papers citing papers by Dário Passos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dário Passos

This figure shows the co-authorship network connecting the top 25 collaborators of Dário Passos. A scholar is included among the top collaborators of Dário Passos 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 Dário Passos. Dário Passos 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.
Passos, Dário. (2025). Deep tutti-frutti II: Explainability of CNN architectures for fruit dry matter predictions. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 337. 126068–126068. 4 indexed citations
2.
Passos, Dário & Puneet Mishra. (2022). A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks. Chemometrics and Intelligent Laboratory Systems. 223. 104520–104520. 91 indexed citations
3.
Mishra, Puneet, Dário Passos, Federico Marini, et al.. (2022). Deep learning for near-infrared spectral data modelling: Hypes and benefits. TrAC Trends in Analytical Chemistry. 157. 116804–116804. 119 indexed citations
4.
Passos, Dário & Puneet Mishra. (2022). Perspectives on deep learning for near-infrared spectral data modelling. NIR news. 33(7-8). 9–12. 3 indexed citations
5.
Passos, Dário, et al.. (2022). Coverage Characterization of LoRaWAN Sensor Networks for Citrus Orchard Monitoring. 86–91. 2 indexed citations
6.
Mishra, Puneet & Dário Passos. (2021). Deep chemometrics: Validation and transfer of a global deep near‐infrared fruit model to use it on a new portable instrument. Journal of Chemometrics. 35(10). 29 indexed citations
7.
Mishra, Puneet & Dário Passos. (2021). Deep calibration transfer: Transferring deep learning models between infrared spectroscopy instruments. Infrared Physics & Technology. 117. 103863–103863. 53 indexed citations
8.
Mishra, Puneet & Dário Passos. (2021). Deep multiblock predictive modelling using parallel input convolutional neural networks. Analytica Chimica Acta. 1163. 338520–338520. 39 indexed citations
9.
Mishra, Puneet & Dário Passos. (2021). Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios. Chemometrics and Intelligent Laboratory Systems. 212. 104283–104283. 56 indexed citations
10.
Passos, Dário, Mark S. Miesch, Gustavo Guerrero, & Paul Charbonneau. (2017). Meridional circulation dynamics in a cyclic convective dynamo. Springer Link (Chiba Institute of Technology). 12 indexed citations
11.
Owens, M. J., E. W. Cliver, K. G. McCracken, et al.. (2016). Near‐Earth heliospheric magnetic field intensity since 1750: 2. Cosmogenic radionuclide reconstructions. Journal of Geophysical Research Space Physics. 121(7). 6064–6074. 16 indexed citations
12.
Passos, Dário & Paul Charbonneau. (2014). Characteristics of magnetic solar-like cycles in a 3D MHD simulation of solar convection. Astronomy and Astrophysics. 568. A113–A113. 40 indexed citations
13.
14.
Lopes, Ilídio, et al.. (2014). Oscillator Models of the Solar Cycle. Space Science Reviews. 186(1-4). 535–559. 19 indexed citations
15.
Lopes, Ilídio, et al.. (2014). Oscillator models of the solar cycle: Towards the development of inversion methods. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 10 indexed citations
16.
Passos, Dário & Ilídio Lopes. (2012). Effects of cyclic fluctuations in meridional circulation using a low-order dynamo model. Monthly Notices of the Royal Astronomical Society. 422(2). 1709–1713. 4 indexed citations
17.
Passos, Dário. (2011). EVOLUTION OF SOLAR PARAMETERS SINCE 1750 BASED ON A TRUNCATED DYNAMO MODEL. The Astrophysical Journal. 744(2). 172–172. 16 indexed citations
18.
Passos, Dário & Ilídio Lopes. (2010). Grand minima under the light of a low order dynamo model. Journal of Atmospheric and Solar-Terrestrial Physics. 73(2-3). 191–197. 15 indexed citations
19.
Passos, Dário, et al.. (2007). On the luminosity evolution of the Sun during the last 7 millennia. Advances in Space Research. 40(7). 990–995. 5 indexed citations
20.
Passos, Dário, et al.. (2005). Tissue phantom for optical diagnostics based on a suspension of microspheres with a fractal size distribution. Journal of Biomedical Optics. 10(6). 64036–64036. 28 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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