Luca Bernazzani

62 papers receiving 982 citations

Peers

Luca Bernazzani
Comparison fields: 5 of 108
  • Filtration and Separation 78
  • Fluid Flow and Transfer Processes 140
  • Conservation 74
  • Catalysis 105
  • Earth-Surface Processes 91
Replace Emmanuel Stefanis with:
Emmanuel Stefanis Greece
I. Pitkänen Finland
Lucia Brinchi Italy
Ju Kumanotani Japan
J. V. Dawkins United Kingdom
Heike Kahlert Germany
Jonathan M. Slater United Kingdom
R. G. Zhbankov Belarus
Wei Feng China
F. E. Critchfield United States
Luca Bernazzani relative to Emmanuel Stefanis Greece Emmanuel Stefanis's profile →
Citations per field
00.5×3.5×
Emmanuel Stefanis · 1×
Citations per year

Countries citing papers authored by Luca Bernazzani

Since Specialization
Citations

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

Fields of papers citing papers by Luca Bernazzani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Bernazzani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luca Bernazzani Line = papers co-authored together Luca Bernazzani links everyone, so they are left out of the graph.

All Works

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Predicting Thermodynamic Properties from Molecular Structures by Recursive Neural Networks. Comparison with Classical Group Contributions Methods.
20043
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About Luca Bernazzani

Luca Bernazzani is a scholar working on Filtration and Separation, Fluid Flow and Transfer Processes, Conservation, Catalysis and Organic Chemistry, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (14 papers), Chemical Thermodynamics and Molecular Structure (14 papers), Ionic liquids properties and applications (10 papers), Chemical and Physical Properties in Aqueous Solutions (8 papers), Surfactants and Colloidal Systems (7 papers), Phase Equilibria and Thermodynamics (7 papers), Building materials and conservation (6 papers) and Cultural Heritage Materials Analysis (6 papers). The work is most often cited by research in Filtration and Separation (78 citations), Fluid Flow and Transfer Processes (140 citations), Conservation (74 citations), Catalysis (105 citations) and Earth-Surface Processes (91 citations). Luca Bernazzani has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Maria Rosaria Tinè, Vincenzo Mollica, Celia Duce, Paolo Gianni, Anna Maria Raspolli Galletti, Giovanni Conti, Emilia Bramanti, Ilaria Bonaduce, Hilda Gómez Bernal and Sergio Cabani. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Thermochimica Acta, Journal of Molecular Liquids, Polymer Degradation and Stability and Current Research in Green and Sustainable Chemistry.

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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