Luis A. Forero

647 total citations
29 papers, 515 citations indexed

About

Luis A. Forero is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes and Organic Chemistry. According to data from OpenAlex, Luis A. Forero has authored 29 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 19 papers in Fluid Flow and Transfer Processes and 18 papers in Organic Chemistry. Recurrent topics in Luis A. Forero's work include Phase Equilibria and Thermodynamics (27 papers), Thermodynamic properties of mixtures (19 papers) and Chemical Thermodynamics and Molecular Structure (18 papers). Luis A. Forero is often cited by papers focused on Phase Equilibria and Thermodynamics (27 papers), Thermodynamic properties of mixtures (19 papers) and Chemical Thermodynamics and Molecular Structure (18 papers). Luis A. Forero collaborates with scholars based in Colombia and Chile. Luis A. Forero's co-authors include José O. Valderrama, Jorge A. Velásquez, Roberto E. Rojas, Carlos Ocampo-López, Claudio A. Faúndez, Piedad Gañán and Juan D. Henao and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Journal of Molecular Liquids and Journal of Chemical & Engineering Data.

In The Last Decade

Luis A. Forero

27 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis A. Forero Colombia 12 378 247 207 127 81 29 515
Ricardo Macı́as-Salinas Mexico 14 305 0.8× 130 0.5× 208 1.0× 68 0.5× 69 0.9× 37 456
Dana Constantinescu Germany 11 243 0.6× 136 0.6× 169 0.8× 119 0.9× 75 0.9× 18 514
S.M. Hosseini Iran 18 523 1.4× 382 1.5× 399 1.9× 148 1.2× 92 1.1× 69 777
Oriol Vilaseca Spain 6 444 1.2× 348 1.4× 234 1.1× 75 0.6× 144 1.8× 6 512
F. Mutelet France 3 204 0.5× 177 0.7× 112 0.5× 123 1.0× 136 1.7× 3 372
A.Z. Francesconi Brazil 18 483 1.3× 168 0.7× 495 2.4× 327 2.6× 76 0.9× 43 738
Latifa Négadi Algeria 17 600 1.6× 173 0.7× 491 2.4× 369 2.9× 123 1.5× 68 832
Mohamed S. Fandary Kuwait 12 173 0.5× 155 0.6× 138 0.7× 44 0.3× 99 1.2× 19 354
Izak Nieuwoudt South Africa 12 346 0.9× 104 0.4× 113 0.5× 173 1.4× 68 0.8× 29 447
Roberto E. Rojas Chile 12 568 1.5× 801 3.2× 263 1.3× 70 0.6× 174 2.1× 15 909

Countries citing papers authored by Luis A. Forero

Since Specialization
Citations

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

Fields of papers citing papers by Luis A. Forero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis A. Forero

This figure shows the co-authorship network connecting the top 25 collaborators of Luis A. Forero. A scholar is included among the top collaborators of Luis A. Forero 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 Luis A. Forero. Luis A. Forero 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.
Henao, Juan D., et al.. (2025). Modeling and experimental data of LLE, VLE, kinematic Viscosity, and density for the 2-Phenylethanol + n-Heptane mixture at low pressure. The Journal of Chemical Thermodynamics. 205. 107459–107459.
2.
Faúndez, Claudio A., Luis A. Forero, & José O. Valderrama. (2024). Use of Thermodynamically Consistent Phase Equilibrium Data to Obtain a Generalized Padé-Type Model for the Henry’s Constants of Gases in Ionic Liquids. Processes. 12(2). 343–343. 2 indexed citations
3.
Henao, Juan D., et al.. (2023). LLE, VLE and dynamic viscosity for the furfural + nonane mixture at low pressure: Measurements and modeling. The Journal of Chemical Thermodynamics. 181. 107025–107025. 1 indexed citations
4.
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6.
Velásquez, Jorge A., et al.. (2021). Modelamiento de la viscosidad dinámica de sustancias puras a partir de la teoría de entropía residual. Información tecnológica. 32(4). 39–52. 2 indexed citations
7.
Forero, Luis A., et al.. (2021). Extension of a Group Contribution Method to Predict Viscosity Based on Momentum Transport Theory Using a Modified Peng–Robinson EoS. Industrial & Engineering Chemistry Research. 60(41). 14903–14926. 5 indexed citations
8.
Velásquez, Jorge A., et al.. (2021). Experimental-Modeling Study of Phase Equilibria, Densities, and Viscosities for the Propanenitrile–Decane Mixture at Low Pressure. Journal of Chemical & Engineering Data. 66(2). 1089–1100. 6 indexed citations
9.
Forero, Luis A. & Jorge A. Velásquez. (2019). Modeling the liquid-liquid equilibria of polar aprotic solvents/alkanes type mixtures using a modified PR EoS and the Huron-Vidal mixing rules. Journal of Molecular Liquids. 292. 111380–111380. 9 indexed citations
10.
11.
Forero, Luis A., et al.. (2019). Modelamiento de la Viscosidad con Base en una Ecuación Cúbica μTP del Tipo Peng-Robinson. Información tecnológica. 30(4). 259–272. 6 indexed citations
12.
Forero, Luis A., et al.. (2019). Correlation and Prediction of Thermal Conductivity Using the Redlich–Kwong Cubic Equation of State and the Geometric Similitude Concept for Pure Substances and Mixtures. Industrial & Engineering Chemistry Research. 58(51). 23417–23437. 12 indexed citations
13.
Valderrama, José O., et al.. (2016). A new generalized Henry-Setschenow equation for predicting the solubility of air gases (oxygen, nitrogen and argon) in seawater and saline solutions. Journal of Molecular Liquids. 222. 1218–1227. 19 indexed citations
14.
Valderrama, José O., Luis A. Forero, & Roberto E. Rojas. (2015). Extension of a Group Contribution Method To Estimate the Critical Properties of Ionic Liquids of High Molecular Mass. Industrial & Engineering Chemistry Research. 54(13). 3480–3487. 57 indexed citations
15.
Forero, Luis A. & Jorge A. Velásquez. (2015). A generalized cubic equation of state for non-polar and polar substances. Fluid Phase Equilibria. 418. 74–87. 31 indexed citations
16.
Forero, Luis A. & Jorge A. Velásquez. (2013). A modified Patel–Teja cubic equation of state: Part I – Generalized model for gases and hydrocarbons. Fluid Phase Equilibria. 342. 8–22. 21 indexed citations
17.
Valderrama, José O. & Luis A. Forero. (2012). An analytical expression for the vapor pressure of ionic liquids based on an equation of state. Fluid Phase Equilibria. 317. 77–83. 27 indexed citations
18.
Forero, Luis A. & Jorge A. Velásquez. (2012). The Patel–Teja and the Peng–Robinson EoSs performance when Soave alpha function is replaced by an exponential function. Fluid Phase Equilibria. 332. 55–76. 23 indexed citations
19.
Forero, Luis A. & Jorge A. Velásquez. (2011). Wagner liquid–vapour pressure equation constants from a simple methodology. The Journal of Chemical Thermodynamics. 43(8). 1235–1251. 35 indexed citations
20.
Forero, Luis A., et al.. (2008). Complemento en MS. EXCEL ® para consulta de propiedades termodinámicas de sustancias puras. Revista Digital Palabra (Universidad Pontificia Bolivariana). 2(2). 23–29. 3 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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