J. Siqueiros

64 total papers · 1.0k total citations
54 papers, 896 citations indexed

About

J. Siqueiros is a scholar working on Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Statistical and Nonlinear Physics. According to data from OpenAlex, J. Siqueiros has authored 54 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanical Engineering, 19 papers in Renewable Energy, Sustainability and the Environment and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in J. Siqueiros's work include Heat Transfer and Optimization (26 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (23 papers) and Adsorption and Cooling Systems (15 papers). J. Siqueiros is often cited by papers focused on Heat Transfer and Optimization (26 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (23 papers) and Adsorption and Cooling Systems (15 papers). J. Siqueiros collaborates with scholars based in Mexico, Spain and United Kingdom. J. Siqueiros's co-authors include A. Huicochea, R.J. Romero, D. Juárez-Romero, J.A. Hernández, F.A. Holland, W. Rivera, Christopher Heard, Erasmo Cadenas, D. Colorado and A. Bassam and has published in prestigious journals such as Applied Energy, International Journal of Heat and Mass Transfer and Energy.

In The Last Decade

J. Siqueiros

54 papers receiving 867 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. Siqueiros	746	350	183	97	95	54	896
A. Huicochea	609 0.8×	258 0.7×	188 1.0×	65 0.7×	117 1.2×	54	796
M. A. Barranco-Jiménez	604 0.8×	632 1.8×	139 0.8×	100 1.0×	103 1.1×	41	876
Xu Ping	579 0.8×	224 0.6×	108 0.6×	62 0.6×	51 0.5×	57	752
Jung-In Yoon	747 1.0×	114 0.3×	199 1.1×	62 0.6×	89 0.9×	120	924
Kiyarash Rahbar	752 1.0×	210 0.6×	260 1.4×	31 0.3×	120 1.3×	24	1.0k
Rajesh Kumar	705 0.9×	156 0.4×	370 2.0×	30 0.3×	99 1.0×	62	981
Jesper Graa Andreasen	787 1.1×	278 0.8×	273 1.5×	17 0.2×	91 1.0×	32	1.0k
Jonathan Ibarra-Bahena	534 0.7×	78 0.2×	233 1.3×	67 0.7×	137 1.4×	28	825
Anish Modi	676 0.9×	198 0.6×	515 2.8×	53 0.5×	62 0.7×	36	1.0k
Hailei Wang	833 1.1×	130 0.4×	153 0.8×	25 0.3×	96 1.0×	61	1.0k

Countries citing papers authored by J. Siqueiros

Since Specialization

Citations

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

Fields of papers citing papers by J. Siqueiros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Siqueiros

This figure shows the co-authorship network connecting the top 25 collaborators of J. Siqueiros. A scholar is included among the top collaborators of J. Siqueiros 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. Siqueiros. J. Siqueiros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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