Fernando Leal‐Calderon
- Materials Chemistry top 1%
- Food Science top 0.1%
- Organic Chemistry top 0.5%
- Biomedical Engineering top 5%
- Ocean Engineering top 1%
- Co-authors
- Véronique SchmittJérôme BibetteS. ArdittyJoanna GiermańskaTatiana D. DimitrovaMathieu DestribatsBernard P. BinksCatherine P. Whitby
- Topics
- Pickering emulsions and particle stabilization (63 papers)Proteins in Food Systems (54 papers)Surfactants and Colloidal Systems (35 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaLangmuir
In The Last Decade
Fernando Leal‐Calderon
95 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 126
- Materials Chemistry 3.4k
- Food Science 2.9k
- Organic Chemistry 2.0k
- Biomedical Engineering 657
- Ocean Engineering 367
Countries citing papers authored by Fernando Leal‐Calderon
This map shows the geographic impact of Fernando Leal‐Calderon'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 Fernando Leal‐Calderon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Leal‐Calderon more than expected).
Fields of papers citing papers by Fernando Leal‐Calderon
This network shows the impact of papers produced by Fernando Leal‐Calderon. 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 Fernando Leal‐Calderon. The network helps show where Fernando Leal‐Calderon may publish in the future.
Co-authorship network of co-authors of Fernando Leal‐Calderon
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Leal‐Calderon. A scholar is included among the top collaborators of Fernando Leal‐Calderon 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 Fernando Leal‐Calderon. Fernando Leal‐Calderon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 15 | |
| 8 | 19 | |
| 9 | 29 | |
| 10 | 6 | |
| 11 | 71 | |
| 12 | 25 | |
| 13 | 10 | |
| 14 | 36 | |
| 15 | 243 | |
| 16 | 489 | |
| 17 | MESURE ET PREDICTION DE LA DISTRIBUTION GRANULOMETRIQUE DES EMULSIONS DE BITUME | 1 |
| 18 | 31 | |
| 19 | 20 | |
| 20 | Granulometrie des emulsions de bitume | 4 |
About Fernando Leal‐Calderon
Fernando Leal‐Calderon is a scholar working on Food Science, Materials Chemistry and Organic Chemistry, having authored 98 papers that have together received 5.1k indexed citations. Recurring topics across this work include Pickering emulsions and particle stabilization (63 papers), Proteins in Food Systems (54 papers) and Surfactants and Colloidal Systems (35 papers). The work is most often cited by research in Food Science (2.9k citations), Materials Chemistry (3.4k citations) and Organic Chemistry (2.0k citations). Fernando Leal‐Calderon has collaborated with scholars based in France, Greece and Bulgaria. Frequent co-authors include Véronique Schmitt, Jérôme Bibette, S. Arditty, Joanna Giermańska, Tatiana D. Dimitrova, Mathieu Destribats, Bernard P. Binks, Catherine P. Whitby, Valérie Ravaine and Véronique Lapeyre. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Langmuir.
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.