Paloma Navia

16 total papers · 804 total citations
14 papers, 734 citations indexed

About

Paloma Navia is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Paloma Navia has authored 14 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Fluid Flow and Transfer Processes, 10 papers in Biomedical Engineering and 8 papers in Organic Chemistry. Recurrent topics in Paloma Navia's work include Thermodynamic properties of mixtures (10 papers), Phase Equilibria and Thermodynamics (9 papers) and Chemical Thermodynamics and Molecular Structure (8 papers). Paloma Navia is often cited by papers focused on Thermodynamic properties of mixtures (10 papers), Phase Equilibria and Thermodynamics (9 papers) and Chemical Thermodynamics and Molecular Structure (8 papers). Paloma Navia collaborates with scholars based in Spain, France and United Kingdom. Paloma Navia's co-authors include Luis Romanı́, Jacobo Troncoso, Diego González-Salgado, Yolanda A. Sanmamed, David Bessières, Thomas Lafitte, Claudio A. Cerdeiriña and Frédéric Plantier and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry Letters and Journal of Chemical & Engineering Data.

In The Last Decade

Paloma Navia

14 papers receiving 731 citations

Author Peers

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

Author Last Decade Papers Cites
Paloma Navia 603 390 324 214 148 14 734
Yolanda A. Sanmamed 613 1.0× 355 0.9× 346 1.1× 156 0.7× 118 0.8× 17 731
Joanna Łachwa 665 1.1× 368 0.9× 320 1.0× 323 1.5× 109 0.7× 21 880
Montserrat Domı́nguez-Pérez 613 1.0× 293 0.8× 286 0.9× 161 0.8× 176 1.2× 32 849
Michał Zorębski 464 0.8× 405 1.0× 406 1.3× 210 1.0× 62 0.4× 31 720
Morteza Mafi 557 0.9× 284 0.7× 305 0.9× 126 0.6× 80 0.5× 25 810
R. Gomes de Azevedo 479 0.8× 302 0.8× 313 1.0× 186 0.9× 66 0.4× 6 633
Roberto E. Rojas 796 1.3× 260 0.7× 564 1.7× 70 0.3× 124 0.8× 15 903
Andrey G. Kabo 481 0.8× 218 0.6× 348 1.1× 313 1.5× 49 0.3× 18 810
Somenath Panda 475 0.8× 165 0.4× 139 0.4× 139 0.6× 76 0.5× 20 624
Mohammed Taghi Zafarani‐Moattar 553 0.9× 378 1.0× 195 0.6× 105 0.5× 120 0.8× 12 792

Countries citing papers authored by Paloma Navia

Since Specialization
Citations

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

Fields of papers citing papers by Paloma Navia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paloma Navia

This figure shows the co-authorship network connecting the top 25 collaborators of Paloma Navia. A scholar is included among the top collaborators of Paloma Navia 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 Paloma Navia. Paloma Navia 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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2026