David Vega‐Maza

45 total papers · 975 total citations
35 papers, 791 citations indexed

About

David Vega‐Maza is a scholar working on Biomedical Engineering, Organic Chemistry and Fluid Flow and Transfer Processes. According to data from OpenAlex, David Vega‐Maza has authored 35 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 14 papers in Organic Chemistry and 14 papers in Fluid Flow and Transfer Processes. Recurrent topics in David Vega‐Maza's work include Phase Equilibria and Thermodynamics (22 papers), Chemical Thermodynamics and Molecular Structure (14 papers) and Thermodynamic properties of mixtures (14 papers). David Vega‐Maza is often cited by papers focused on Phase Equilibria and Thermodynamics (22 papers), Chemical Thermodynamics and Molecular Structure (14 papers) and Thermodynamic properties of mixtures (14 papers). David Vega‐Maza collaborates with scholars based in Spain, United Kingdom and Germany. David Vega‐Maza's co-authors include J. P. Martin Trusler, José J. Segovia, M. Carmen Martín, Danlu Tong, Geoffrey C. Maitland, Peng Cheng, John P. Crawshaw, Olivia Fandiño, Greg A. Mutch and James A. Anderson and has published in prestigious journals such as Journal of the American Chemical Society, Water Resources Research and Geophysical Research Letters.

In The Last Decade

David Vega‐Maza

32 papers receiving 777 citations

Author Peers

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

Author						Papers	Cites
David Vega‐Maza	372	294	241	167	166	35	791
Georg Sieder	596 1.6×	603 2.1×	153 0.6×	142 0.9×	60 0.4×	20	901
Mahmood Moshfeghian	261 0.7×	160 0.5×	174 0.7×	132 0.8×	74 0.4×	35	641
Mirosław S. Gruszkiewicz	326 0.9×	104 0.4×	50 0.2×	151 0.9×	68 0.4×	32	862
Frédéric Plantier	399 1.1×	155 0.5×	42 0.2×	247 1.5×	206 1.2×	60	799
Ailo Aasen	360 1.0×	181 0.6×	64 0.3×	90 0.5×	68 0.4×	36	676
Sofı́a T. Blanco	545 1.5×	186 0.6×	92 0.4×	340 2.0×	322 1.9×	43	691
Jiawen Hu	222 0.6×	156 0.5×	188 0.8×	62 0.4×	50 0.3×	48	809
Xuqiang Guo	288 0.8×	164 0.6×	164 0.7×	74 0.4×	62 0.4×	48	908
Norman O. Smith	279 0.8×	114 0.4×	102 0.4×	128 0.8×	152 0.9×	44	677
Jose Bañuelos	141 0.4×	131 0.4×	113 0.5×	44 0.3×	93 0.6×	26	801

Countries citing papers authored by David Vega‐Maza

Since Specialization

Citations

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

Fields of papers citing papers by David Vega‐Maza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Vega‐Maza. 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 David Vega‐Maza. The network helps show where David Vega‐Maza may publish in the future.

Co-authorship network of co-authors of David Vega‐Maza

This figure shows the co-authorship network connecting the top 25 collaborators of David Vega‐Maza. A scholar is included among the top collaborators of David Vega‐Maza 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 David Vega‐Maza. David Vega‐Maza 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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